#Sample NDA for Startups
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virtualease · 2 months ago
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Mistakes to Avoid When You Outsource Software Development Services
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Introduction
Outsourcing software development can be a game-changer for businesses aiming to scale efficiently. However, if not managed properly, it can lead to project delays, budget overruns, and poor quality. Knowing the right approach and common pitfalls to avoid will help you build strong partnerships and meet your development goals. In this blog, we’ll walk through the major mistakes companies make when they outsource software development services. We'll also provide practical tips to help you stay ahead and ensure success. Whether you're a startup or an established enterprise, these insights can save you time and money. Let’s dive in and learn how to make your outsourcing journey smooth and effective.
1. Not Defining Clear Goals and Expectations
One of the biggest mistakes is failing to outline precise project goals and deliverables. When you outsource software development services, clarity is everything. Vague requirements often result in misalignment and wasted efforts. A detailed project scope keeps everyone on the same page. Include features, timelines, and technical specifications. Ensure both your internal and external teams understand these. Define what success looks like from the start. That’s how you build accountability and measure progress effectively.
2. Choosing Cost Over Quality
Low cost can be tempting, but it shouldn't be your only deciding factor. Many businesses opt for the cheapest offer and end up paying more in rework. Quality developers add more value in the long run. When outsourcing software development services, assess the vendor’s experience and skillset. Look for a balance between affordability and capability. Check past work, client reviews, and testimonials. A good developer delivers on time, and with fewer bugs. Invest wisely for long-term returns.
3. Ignoring Time Zone and Communication Gaps
Communication is the backbone of any successful outsourced project. If your team is in a different time zone, sync can become a challenge. Set clear expectations around communication frequency and tools. Use overlapping hours effectively to align and review work. Tools like Slack, Zoom, and Jira can bridge the gap. Make sure your outsourced team speaks your business language clearly. Regular updates and calls prevent misunderstandings. Prioritize transparent and proactive communication from day one.
4. Overlooking the Importance of Technical Expertise
When you outsource software development services, technical capability is key. Avoid selecting vendors based only on soft skills or generic portfolios. Evaluate their expertise in your specific technology stack. Ask for code samples or run a short test project. A technically sound partner saves you from hidden bugs and performance issues. They also make better architecture decisions. Don't hesitate to bring in a technical advisor to assist in screening. Always choose a vendor who can handle future scaling too.
5. No Proper Legal Agreements or NDAs
Skipping legal documentation is a costly mistake. When working with an external team, you must protect your intellectual property. Always have a signed NDA and contract in place. These documents should cover payment terms, timelines, ownership rights, and confidentiality. A well-drafted agreement provides a legal safety net. It helps avoid disputes and ensures that deliverables are enforceable. Consult a legal expert if needed. It’s better to be safe than sorry when outsourcing development work.
6. Lack of a Dedicated Project Manager
Without a project manager, outsourcing can become chaotic. Someone needs to be responsible for tracking progress, resolving blockers, and maintaining communication. A dedicated project manager ensures that nothing falls through the cracks. They act as the bridge between your internal team and the outsourcing partner. This person can be from your side or theirs, but there must be one. They also help with timeline management and milestone tracking. It’s essential for productivity and accountability.
7. Not Considering Long-Term Maintenance
Software development doesn’t end with the final delivery. Maintenance, updates, and bug fixes are part of the lifecycle. When outsourcing, always consider post-launch support. Ask about ongoing maintenance plans and SLAs. Ensure your vendor provides documentation for easy handovers. Otherwise, you may struggle with future upgrades. Plan for this early in the contract. Your outsourced partner should be ready for long-term collaboration, not just one-time delivery.
8. Failing to Monitor Performance Regularly
Once the outsourcing contract is signed, don’t go hands-off. Regular monitoring ensures consistent progress and quality. Set up weekly or bi-weekly check-ins. Review code, design updates, and deliverables consistently. Use KPIs to track performance. Tools like Trello, Asana, or Monday.com can help. Transparency builds trust and improves output. If issues arise, you can catch them early. Keep refining your process based on feedback and results.
Conclusion
Outsourcing software development services offers tremendous benefits, but it’s not without challenges. Avoiding these common mistakes will help you build strong relationships, achieve project goals, and stay within budget. Always prioritize communication, quality, and long-term vision when choosing a vendor. With the right strategy, outsourcing can unlock innovation and growth for your business. Make smarter decisions and watch your software projects thrive.
FAQs
What’s the biggest mistake when outsourcing software development? Failing to define clear goals and expectations leads to miscommunication and poor results.
Is it safe to outsource software development? Yes, with proper legal agreements and trusted vendors, it can be completely secure.
How do I choose the right outsourcing partner? Check their experience, technical skills, past projects, and communication style carefully.
Should I go for the cheapest option? Not always. Low cost can mean poor quality, which leads to higher costs later on.
Can I outsource long-term projects? Absolutely. Many companies outsource for years—just ensure you plan for ongoing support.
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startupappdevelopment · 7 years ago
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8 MISTAKES THAT STARTUPS MUST AVOID WHILE ENTERING INTO NDA
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The element that makes a startup innovative is its unique idea or new approach to solve existing issues. An idea signifies its very existence so, by all means, that idea should be safeguarded. Here is when Non-disclosure agreement comes in picture. Whether you are considering a joint venture partner, an interested investor, or an employee at a significant position, a Non-Disclosure Agreement must be executed.   The main purpose of NDA is to protect the confidentiality of information shared with an outsider. Not having a signed and enforceable NDA may have drastic consequences down the road when the information which was meant to be confidential falls into the wrong hands.   Though a proper attorney should be hired to avoid all the pitfalls still one must have knowledge of what could go wrong that render NDAs unenforceable.
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pbli33 · 3 years ago
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PDF The Tech Contracts Handbook: Cloud Computing Agreements, Software Licenses, and Other IT Contracts for Lawyers and Businesspeople -- David W. Tollen
Download Or Read PDF The Tech Contracts Handbook: Cloud Computing Agreements, Software Licenses, and Other IT Contracts for Lawyers and Businesspeople - David W. Tollen Free Full Pages Online With Audiobook.
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The Tech Contracts Handbook is a practical and accessible reference and training manual on IT contracts. It’s a clause-by-clause “how to” guide on cloud computing agreements, software licenses, technology services agreements, and other IT contracts — covering the issues at stake and offering negotiation tips and sample contract language. The first edition was the #1 bestseller for the IP Section of the ABA.The Tech Contracts Handbook is for both lawyers and businesspeople, including contract managers, procurement officers, corporate counsel, startup CFO’s, and anyone else responsible for contracts. Perhaps most important, the book uses simple English, like a good contract.Topics covered include:Software-as-a-service (SaaS) subscriptionsData securityIndemnitiesOpen source softwareService level agreements (SLA’s)Nondisclosure agreements (NDA’s)Limitations of liabilitySource code escrowsCopyright licensingRights in feedbackArbitrationClickwraps, browsewraps, and shrinkwrapsNon-compete
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bgdfgtgrthrtrt · 4 years ago
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(PDF/Books) Download The Tech Contracts Handbook: Cloud Computing Agreements, Software Licenses, and Other IT Contracts for Lawyers and Businesspeople - David W. Tollen
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Book Details :
Author : David W. Tollen
Pages : 281 pages
Publisher : American Bar Association
Language : eng
ISBN-10 : 1634251784
ISBN-13 : 9781634251785
Book Synopsis :
Read Online and Download The Tech Contracts Handbook: Cloud Computing Agreements, Software Licenses, and Other IT Contracts for Lawyers and Businesspeople .The Tech Contracts Handbook is a practical and accessible reference and training manual on IT contracts. It?s a clause-by-clause ?how to? guide on cloud computing agreements, software licenses, technology services agreements, and other IT contracts ? covering the issues at stake and offering negotiation tips and sample contract language. The first edition was the #1 bestseller for the IP Section of the ABA.The Tech Contracts Handbook is for both lawyers and businesspeople, including contract managers, procurement officers, corporate counsel, startup CFO?s, and anyone else responsible for contracts. Perhaps most important, the book uses simple English, like a good contract.Topics covered include:Software-as-a-service (SaaS) subscriptionsData securityIndemnitiesOpen source softwareService level agreements (SLA?s)Nondisclosure agreements (NDA?s)Limitations of liabilitySource code escrowsCopyright licensingRights in feedbackArbitrationClickwraps, browsewraps, and shrinkwrapsNon-compete .
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atasnamabuku-robe · 4 years ago
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✳Download [PDF] Books The Tech Contracts Handbook: Cloud Computing Agreements, Software Licenses, and Other IT Contracts for Lawyers and Businesspeople
The Tech Contracts Handbook: Cloud Computing Agreements, Software Licenses, and Other IT Contracts for Lawyers and Businesspeople
  Synopsis :
The Tech Contracts Handbook is a practical and accessible reference and training manual on IT contracts. It?s a clause-by-clause ?how to? guide on cloud computing agreements, software licenses, technology services agreements, and other IT contracts ? covering the issues at stake and offering negotiation tips and sample contract language. The first edition was the #1 bestseller for the IP Section of the ABA.The Tech Contracts Handbook is for both lawyers and businesspeople, including contract managers, procurement officers, corporate counsel, startup CFO?s, and anyone else responsible for contracts. Perhaps most important, the book uses simple English, like a good contract.Topics covered include:Software-as-a-service (SaaS) subscriptionsData securityIndemnitiesOpen source softwareService level agreements (SLA?s)Nondisclosure agreements (NDA?s)Limitations of liabilitySource code escrowsCopyright licensingRights in feedbackArbitrationClickwraps, browsewraps, and shrinkwrapsNon-compete
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reading-products · 4 years ago
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The Tech Contracts Handbook is a practical and accessible reference and training manual on IT contracts. It?s a clause-by-clause ?how to? guide on cloud computing agreements, software licenses, technology services agreements, and other IT contracts ? covering the issues at stake and offering negotiation tips and sample contract language. The first edition was the #1 bestseller for the IP Section of the ABA.The Tech Contracts Handbook is for both lawyers and businesspeople, including contract managers, procurement officers, corporate counsel, startup CFO?s, and anyone else responsible for contracts. Perhaps most important, the book uses simple English, like a good contract.Topics covered include:Software-as-a-service (SaaS) subscriptionsData securityIndemnitiesOpen source softwareService level agreements (SLA?s)Nondisclosure agreements (NDA?s)Limitations of liabilitySource code escrowsCopyright licensingRights in feedbackArbitrationClickwraps, browsewraps, and shrinkwrapsNon-compete
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katemakesgames · 8 years ago
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Let’s Make Some Game Art
Whoah I’m back!? Apparently so.
Hey, so I’ve been away a while, busy making things mostly. Spent some time working for a small apps and games making startup, then went freelance, worked on some more games etc.
I’ve learned some new tricks and needed to update my portfolio to show them off, but due to NDAs I can’t show a lot of stuff I’ve done, so this morning I decided I’d just have to make a sample 2D animated game character for demo purposes, and since I’ve made it, I may as well share how it’s done. It’s actually pretty straightforward, so feel free to try this at home!
We’re gonna make something like this:
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First we need to draw a character! I like to use Clip Studio (aka Manga Studio if you’re oldskool) for this because I really like the pen stabilisation and the natural feeling paint blending, but you can use literally any app that can handle layers. I’ll be switching to photoshop later to save out all my pieces for this, so if you just want to work in photoshop from the get-go, then you can!
I like to start by sketching my character, like this: 
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If I was making this more seriously rather than as a simple demo, I’d now go over this and make a tighter, more detailed sketch, but in this case, I just went straight to the inking. You need to remember that you’ll want to ink each “piece” the model will be made up of on a different layer (also, name your layers now, you’ll save torment later). Remember that you’ll want to make sure that pieces like the back arm and the legs are drawn right up to the shoulder or hip joint, even if in this pose they’re hidden by the body, skirt etc. Otherwise you’ll get gaps when you move them.
I like to put each layer into a group or folder now so that I can group my ink layers with colour layers. I check my overlaps are all looking good by just doing basic grey fills on all my pieces:
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And this also helps me notice issues like the right side of the torso I’ve neglected to ink the scale texture. Better fix that!
Then I add colour. Note that you can add whatever style of colour and shade you like, but extreme directional lighting is likely to be very limiting so avoid that style of shading. In this case, for speed I’ve gone for very basic cel shading and bright colours to work with the cartoony lines. They’re all on separate grouped layers so I can pull them apart like this:
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If I was planning to build the model in the Anima 2D plugin for Unity now, I’d make the pieces into a spritesheet with a transparent background and save it out as a png file, but in this case, I’m working in Spriter, so I save each of these pieces as a separate transparent background png file and put them all in the same folder to import to that program.
In Spriter, I set up the pieces into the shape of my character, making sure the right pieces are on top or under each other, and add bones to the pieces, creating a parent-child hierarcy so that, for example, moving the body also moves the arms, head, facial features and hair, and moving the head moves the facial features and hair. It’s very much like rigging a 3D model!
Having done all this, I can make animations. I’ll probably talk more on the differences between Spriter and Anima in the near future, but I hope this has given a helpful grounding in the process! You’d be able to export these animations and use them in a game made in the Unity engine pretty easily!
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fuckyeamia-blog · 6 years ago
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blogdanielwilson-blog · 6 years ago
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Why Outsource Web Development: Reasons, Rates, and Where to Find a Partner
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Well-taught developers want to be well-paid, but not all the projects get enough funding for hiring top-notch local engineers. Along with the cost, there may be not plenty of specialists in your city, or you may be looking for a candidate with a particular set of skills. Or have to deal with strict time-frames.
In all these cases, outsourcing web development services is the best way out. Offshore development costs less, there are more engineers available, and they are often more qualified than locals. But one thing sure: outsourced development may be a bit complicated.
We’ve created this guide to explain why big enterprises and small startups outsource web development projects, what are the hourly rates worldwide, and where look for the right tech partner.
Why Outsource Web Development?                                                              
There are lots and lots of reasons why tech managers, business owners, and startupers outsource web development services. There are several key reasons why offshore development is becoming more and more popular.
1. Lower Pricing                                                                                                                                                                                                                             The first and most powerful motivation is cost savings. Website development in say Eastern Europe will be 2-3 times cheaper than in the USA, Canada, or Australia. (We'll discuss outsourcing development rates a bit later).
So it doesn't matter if you're hiring freelance developers, offshore devs or even outsource website development to a local team – it's cheaper than building your own team of web developers in any case.
2. Strict Time Frames                                                                                          
If you are working on a billion-worth main project but ready to go for another one, outsourcing its development is the best possible solution. Or, if there are some issues with an existing high-stakes product that must be fixed quickly, hiring an offshore team will take less time than recruiting local devs.                                                                                                                                                 3. Top-Rated Experts at Service                                                                                                                       
Let’s imagine you’re looking for a candidate with a particular set of skills like AR & VR developers. They are hard to find and recruit, and if we’re talking about just one product – not very cost-effective.But if you’re dealing with offshore developers, there’s always a wide range of skilled engineers. That allows you to pick out of the best software development service providers for your project.  
4. Better Teamwork, Better Product                                                                                                                      
Another good reason to outsource web development is a dedicated team of specialists. They will be assigned to your particular project. And each member contributes to creating a first-class solution. This way, the team more surely meet all the deadlines and make the development go faster. If you're working on a brand-new startup, the faster you launch your product, the better.                                                                                                                                             5. Tight Project Management                                                                                                                                                                                                         Once you outsource the development, the IT firm will allocate web developers and assign a project manager to track their progress. This helps with meeting deadlines and making the development process smoother and faster.Project managers keep in touch with product owners and report to them during the entire process.                                                                                                    
Finally, there's no need for business owners to take care of HR operations, hiring, sick days and vacations, taxes, renting an office, and so on.
Offshore Development Rates
Outsourced web development looks good, right? It’s time to find out what regions offer the most attractive prices.
But first, let’s figure out the options.
Onshore development. If you don't want to deal with time zones and languages, look for a vendor from your country. For example, if you do business in California, you may outsource the development to Washington.
Nearshore services. That means outsourcing the website development to nearby countries (2-4 time zones in difference). For instance, it may be a US startup that orders services from Canada or Mexico.
Offshore web development. Means delegating the project delivery to a company located overseas – further away than 2-4 time zones. In most cases, offshore cooperation works best in terms of price-quality.
Next, let’s check the key outsourcing destination and average hourly rates developers charge there.
Eastern Europe combines affordable hourly rates with a rich pool of tech talents. The IT sector in this region is constantly growing, so it becomes an attractive offshoring destination.
For example, product owners often outsource web development to Ukraine. Now, there are 598 Ukrainian IT firms registered on Clutch, and most of them have positive ratings.
Where to Find Outsourcing Partners?
Since we’ve covered the prices and found the best place to outsource web development, time to discuss where and how you can actually find reliable vendors.
There are several platforms that can help. But we’re going to review the best of the best.
  1. Сlutch                                                                                                                                                                                                                                          Clutch uses its own ranking algorithm to compare companies in various industries, focus areas, and countries of residence. The rankings are based on four criteria:
Number and quality of client reviews;
Company's expertise;
Market presence and awards;
Services offered.
The platform regularly updates companies' rankings. So once an IT firm gets a new award, more clients or high-quality reviews, it get a higher place in the list.
The information provided by Clutch shows whether a company is registered, active, and trustworthy.
By the way, if you're an interested buyer, you can take advantage of their free Matchmaking Program. All you need to do is submit your project details and wait for the offers from interested vendors.
2. Good Firms                                                                                                                                                                                                                                     Good Firms lists the best performing software development companies according to their ranks. It’s a free-for-users platform that offers 6,000+ services & software firms, 9,000+ verified reviews, and 600+ validated surveys.
To give a  rating, Good Firms directly contacts IT companies’ clients and takes note of their experience of cooperating with the company.
The platform keeps the list of firms that specialize in mobile app development services, web development services , eCommerce projects, blockchain, and many other fields.
So it's win-win cooperation – IT firms have a platform to show their works to the right audience while customers can find a trustworthy company for their business.
Good Firms is one of the best platforms that helps to outsource web application development
3. Upwork 
 Upwork offers a range of best freelancers and agencies – from web developers to designers and marketers.
Users need to write a clear and concise job post and wait for workers to apply. Then, they review matches and interview candidates via chat or a video call before hiring them.
You can evaluate freelancers and firms by checking their Upwork profiles. Information placed there includes experience, feedback, and lots of other details.
Besides, the platform offers the Upwork Business package that provides access to a team of dedicated advisors. They help to find top-notch developers faster and for reasonable prices.
When you and your outsourced web development team agree upon the price, you can transfer the sum right on the platform using:
MasterCard
Visa
American Express
PayPal
The platform charges a 3% processing fee.
How to Outsource Web Development Projects?
Finally, we got to the most important question – how to outsource web development. So here comes our framework using which you can arrange the process quickly and efficiently.
1. Understand what you want 
Before dealing with a web outsourcing team, you should clearly understand (and be able to describe) your goals.
Do you want to get a simple project that supports your place of business? Or you're looking for a platform that is going to be an extension of it?
These are two completely different projects. The vendor needs to know what exactly they're going to deal with.
Here's what you can do to make the process faster and even cheaper:
Make a full description of your future website;
Define what features you want to include, what are the business goals, and so on;
Come up with the budget you can spend on the web project.
2. Look for a proper vendor 
Once you've decided what you want to get from a business and tech perspective, it's time to select an outsourcing web development company. You may go to one of the platforms I’ve mentioned or check our    list of 15 best software outsourcing companies .To evaluate the vendor’s experience, check the following points out:
Company’s portfolio;
Tech specialization and capabilities;
Ratings and reviews, number of years on the market;
Company’s profiles like GitHub for code samples;
Behance and Dribbble for web design.
Then you can make a list of the best outsource web development companies you're most interested in and get in touch with them.Once you decide on the vendor, there are other important points to check:
Learn more about the company's workflow: ask what methodologies they use, clarify QA testing and bug fixing questions, discuss support and maintenance; Pay attention to the communication flow: what is their level of English, how clearly they present information.
Ask for recommendations and references.
At this stage, it may be the time to sign an NDA & draw up a contract. They protect both your investment and the web developers' interests.Then, you need to agree on payment terms and cover other organizational questions.
3. Discuss a meeting routine
During the website development, you will surely want to keep in touch with the outsourced web development team. Luckily, there are lots and lots of tools that can help – Skype, Slack, Facebook Messenger, and WhatsApp.Still, they can't fully help with monitoring the workflow. It’s better to also use tools like InVision (web design sharing), JIRA, GitHub and Confluence.Besides, in most firms, there's a project manager who controls the workflow and reports to you. This person will mind all your comments and answer all questions, just don't hesitate to ask.The next thing to arrange is the meeting schedule. For example, in the beginning, you may ask for daily meetings to get constant updates on how the development goes.And mind that web developers won't be able to deliver the expected result without proper communication with product owners.
              4. Plan forward                                                                                              
                                                                                                                        Once the website is up and running, don't hurry to cut ties with the outsourced web development agency. Sometimes things go wrong and keeping good relations with your vendor will ensure that any issues like bugs will be resolved quickly.And there’s another good case. Let’s say you decide to continue the website development, move to the second phase. No one will be able to deliver it faster and with fewer resources than the team who worked on the project initially.       
Why Cleveroad Is a Good Tech Partner?
Cleveroad is an Eastern European software development company that provides high-end services for reasonable prices. We deliver software solutions of any size and aim at productive long-term relationship.
What can we offer?
Experience in offshore and nearshore development for any-size companies and projects;
Flexible way of communication that adapts to your requirements; No expenses on lecturing and training;
Flexible specialists that follow your schedule;
Developers that constantly work on their self-improvement, eager to learn and up for challenges.
Take a few minutes to check out Clutch, Good Firms, and Upwork profiles with examples of work and client reviews. There are many other ways to improve the guest experience and increase the direct bookings for hotels through apps like travel concierge app.                            
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vitamixlab · 8 years ago
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VITAMIN BUSINESS STARTUP CHECKLIST
We’ve worked with many nutraceutical startups over the years, and time after time we hear that one of the most beneficial services we provide is our checklist of things to do before launching a nutritional supplement or vitamin product.  With this in mind, we’ve decided to post a “launch checklist” so that you can focus you attention on post-launch sales rather than cleaning up problems that could have been resolved with careful planning prior to launch.  Although this isn’t an exhaustive checklist, it should serve as a good starting point as you begin to conceptualize the direction and focus of your company and decide how you want to market your product. Whether you are trying to open a home business selling vitamins, or simply expanding your website to sell supplements online, this checklist will help get you on the way to success.
As you go through the following list, be sure to write out any ideas or questions that you have on a notepad.  These notes will allow you to focus on areas of your business plan that need to be formulated more concisely and will give you a better understanding of different issues that may require further research.
(A) Business Concept and Strategy:
Formulation Do you know if you want your product formulated as a powder, pill, or a liquid supplement?  Do you have any special requests such as enteric coating or added dyes?  Make sure that you have at least 3 solid selling points over your competition from a formulation standpoint (i.e. “my protein pills are better for building muscle because they contain…”).  In addition to ingredients used, you can also promote the benefits of your supplement’s delivery methods (i.e. liquid vitamins vs. pill vitamins).
Advertising and Sales Channel Plans Determining your target audience is tremendously important in marketing your product.  This will not only determine how you advertise, but where.  For instance, if you are marketing a body building supplement, you may leave brochures at a gym describing how your supplement promotes muscle growth.  Or if you are trying to sell a multivitamin for women, you may set up a website about your vitamin with articles about women’s health.
It’s also important for you to determine if you want to sell directly-to-customers (DTC) or through retail channels.  Although you can obviously do both, it helps to direct your attention to one or the other so that you can focus your resources.
(B) Formulation and Production:
NDA Signed Do you have a NDA signed by each supplement manufacturer that priced your formulas?
Ingredients Identified Have you identified the exact sources and standardizations for all of the ingredients that you are looking for price quotes on?
(C) Production:
Contract Did you sign a formulation agreement with your contract vitamin manufacturer?
Manufacturer Legally Allowed to Manufacture Nutritional Supplements Have you seen any paperwork from a reputable governing authority (State Department of Health, Food and Drug Administration) showing that the manufacturer is legally allowed to manufacture nutritional supplements?  Research your manufacturer online and insist that they show you any pertinent credentials.
Obtain a Pre-production Sample Have you obtained a pre-production sample of the product before purchasing a full production run?  This is important so that you know that what you are ordering is exactly what you want.  If the color, taste, consistency is off, it’s better for you to know prior to several million units being produced.  Also, if you have a pre-production sample and something goes wrong in the actual production run, you can always use this sample as a comparison for that product that you actually wanted produced.
Obtain a Certificate of Analysis Have you received a certificate of analysis for all materials used in the production of your nutritional supplement?
(D) Packaging:
Packaging Presentation Have you decided what images and text that you want to use on your packaging?  Do you know who your target audience is for your product?
Samples of bottles or Packets Have you seen samples of the exact size bottle or packet that your product is going in?
Make sure that your product has the exact “look” that you are going for.
(E) Compliance and Information Review:
Food and Drug Administration (FDA) Compliance Have you reviewed your label or packaging for all
Domain Name Does your domain name reflect your company or product name? Make sure that this is something that is both easy to remember and has a direct connection to the product you are selling (e.g. don’t name your website after your dog!).
Secure Transactions Is your website secure for transactions and is that illustrated prominently on the website through logos and seals?
Verify Information Have you verified that all contact and order information is correct including product pricing, special offers, phone number and domain names?  While a website can help you to promote and sell your product, having a website with the incorrect information on it will frustrate consumers and drive away sales.
(F) Operations:
Tested Mechanism of Deposits Have you “test charged” to make sure that credit cards and funds are deposited into the desired back account without any hiccups or mishaps?  Just think how frustrating (embarrassing) it would be to find out that you’ve sold 1,000 units on your first day, but that they’ve all of the funds have been deposited in the wrong bank account!  A single missed digit is all it takes, so be sure to do a deposit test run.
(G) Shipping:
Invoices, Packing Slips, and Shipping Labels Can you print out invoices, packing slips, shipping labels and all other documents needed for shipping product?  It may seem ok to hand write invoices now, but when you get orders for hundreds of vitamins, it’s important to have a computerized way of printing out all of your documentation.
(H) Storage:
Protecting Your Product Do you have a cool, dry place to store your supplements out of the sun to protect them prior to delivery to cialis generique customers?  It’s important to keep it safe and stable because relatively minor temperature and humidity variations can destroy supplements. If you are working with a vitamin drop shipper, then this won’t be a problem.Contct today visit us:http://www.vitamixlabs.com/
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un-enfant-immature · 7 years ago
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Cognigo raises $8.5M for its AI-driven data protection platform
Cognigo, a startup that aims to use AI and machine learning to help enterprises protect their data and stay in compliance with regulations like GDPR, today announced that it has raised an $8.5 million Series A round. The round was led by Israel-based crowdfunding platform OurCrowd, with participation from privacy company Prosegur and State of Mind Ventures.
The company promises that it can help businesses protect their critical data assets and prevent personally identifiable information from leaking outside of the company’s network. And it says it can do so without the kind of hands-on management that’s often required in setting these kinds of systems up and managing them over time. Indeed, Cognigo says that it can help businesses achieve GDPR compliance in days instead of months.
To do this, the company tells me, it’s using pre-trained language models for data classification. That model has been trained to detect common categories like payslips, patents, NDAs and contracts. Organizations can also provide their own data samples to further train the model and customize it for their own needs. “The only human intervention required is during the systems configuration process which would take no longer than a single day’s work,” a company spokesperson told me. “Apart from that, the system is completely human-free.”
The company tells me that it plans to use the new funding to expand its R&D, marketing and sales teams, all with the goal of expanding its market presence and enhancing awareness of its product. “Our vision is to ensure our customers can use their data to make smart businesses decisions while making sure that the data is continuously protected and in compliance,” the company tells me.
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kadobeclothing · 6 years ago
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How, Where, & When to Find an App Developer for Your Business
A few years ago, I was on the myVEGAS app playing the slot machines. This is one of my favorite apps because I can play a game for free and redeem rewards like free hotel rooms and free buffets in one of my favorite places — Las Vegas. As I was getting some free spins, I thought to myself, “I wonder how this app was made … ”
Now, as a marketer, I understand how much work must’ve went into the making of myVegas. To make an app, a company needs to come up with a concept, conduct market research, design the wireframe and graphics, and strategize the launch. All of this is usually done with a team of people, but the app developer is one of the most important players. In fact, in 2018, Tim Cook announced that there were 20 million registered iOS developers catering to the 500 million weekly visitors to the App Store alone. Additionally, there are about 2.6 million Android and 2.2 million iOS apps. Suffice it to say, the app developer is an important role. That’s why it’s critical to hire the right one for your app. Let’s review how, where, and when to find an app developer for your business.
How to Find an App Developer Finding an app developer can seem like a daunting process. We know that there are a lot of developers out there, but that doesn’t mean they are all quality ones who will understand your business or needs. Before you can begin looking at app developers, it’s important to ask yourself this question: “Do I want to hire an in-house team or a freelancer?” To answer this, consider your business needs. For example, are you at an established company that wants to automate your process? An in-house team might work well for you. On the other hand, if you work at a startup, an expert specialist who can get in and get out quickly and cheaply might be the way to go. Additionally, if you anticipate building more than one app, an in-house team would work well. However, if you’re just creating one app, a freelancer would work. An in-house team will usually consist of a group of developers who have a deep understanding of your company, culture, and product or service. However, this team will be costly because you have to consider salary, benefits, and equipment. Additionally, you’ll need to have set systems and processes to ensure productive, quality work. Alternatively, a freelancer or an app agency, consists of expert specialists who can work quickly. Plus, it’s often cheaper because you’re only paying for the project, and not each person’s salary and equipment. The only downside is that you’ll have to manage the communication and most likely project management as well. No matter which route you decide to go, it’s important to find the right person or team. That’s why we’ve created a list of tips to help you find an app developer. 1. Do some research. Before you can hire an app developer, it’s important to understand the basics of their job. What programming languages are used? What are the average rates? Having an understanding of the profession gives you the context you need to have productive meetings and interviews. 2. Look at experience. Just like you wouldn’t want a pilot who hasn’t flown a day in their life, you probably don’t want an app developer who hasn’t ever developed an app. Be sure to ask about their experience and look at the work they’ve done. 3. Focus on communication. Your app won’t get created well if there isn’t crystal clear communication. That’s why rapport is important to focus on in the first meetings. In addition to qualifications and experience, see how you and potential app developers get along and understand each other. 4. Be clear about your business needs. When you’re meeting with app developers, make sure you’re clear about the app concept and your target market. The clearer you are about your business’s needs and goals, the easier it’ll be to create an app. 5. Use set criteria to judge each developer. It’s important to have a list of criteria you’re using to judge each developer or agency you talk to. That way you can have productive meetings and get your questions answered. Consider criteria such as: Reviews and references Experience Speciality Programming tools Development process Legal process/contracts Project management Communication These are all important areas to discuss in your first meetings. Additionally, you might consider writing down a few questions about these topics. A few questions you could ask are: Do you have reviews and references of past and current customers I could read and/or reach out to? How much experience do you have? Can I see samples of your work? What type of apps have you worked on in the past? What programming tools do you use to create an app? What is the development process like for you? Would you be willing to sign an NDA and contract? How do you handle project management? How will we communicate during the development process? What are your fees? Where to Find an App Developer Now that you’ve started thinking about finding an app developer and what that process looks like, you might be wondering, “Where will I find this person or team?” In actuality, it’s a pretty simple process. You can begin your search for an app developer or agency in a few places: 1. Freelance websites. If you’re going the freelance route, looking at top freelance sites like Toptal and Hired is the way to go. Sites like these will have the best candidates because they’re fully vetted. In fact, Toptal only accepts 3% of applicants. Additionally, these sites have clear rates, so you can see how much a freelancer will cost from the get-go. 2. Tech blogs. Blogs like Wired, The Verge, and TechCrunch are a great resource when you’re looking for an app developer. They’ll typically have articles about app development and the whole process, so you go into the process educated. 3. Creative communities. There are communities online where designers and developers will upload portfolios and samples of their work, like Dribbble or Behance. If you find someone you like, you can reach out and get to know them more. 4. B2B directories. If you’re going to hire an agency, consider looking at B2B directories where companies have information, reviews, and ratings listed. Sites like Clutch.co, B2B Marketing, and Relevance are all good options. 5. Colleges. Sometimes it’s easy to forget that colleges have a lot of top talent. Reach out to professors in the computer science department to see if they know of any student developers. 6. Your network. Another place that’s easy to forget about is your own network. Ask around. See if anyone you know can think of an app developer they’re in contact with. 7. Google. Lastly, the holy grail. The only issue with Google is that you have to be careful and thoroughly vet people or companies you find on here. To recap, we’ve gone over tips on finding an app developer and where to begin your search. Now the only question is when do you start this process? When to Find an App Developer Once you have a concept and you’ve done your research, you can begin looking for an app developer. For instance, at this point, you’ve usually identified a problem your target market has and come up with an app concept that will be a solution to that problem. Then, you might’ve outlined some ideas for the app and even put together rough wireframes of what you want the app to look like. When you get to this point, it’s probably time to find a developer to work with. Finding an app developer is a big task. But as long as you thoroughly vet your candidates and are organized with your search, then the process should be fairly straightforward.
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jerome-blog1 · 6 years ago
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Digital Marketing
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topicprinter · 6 years ago
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Title says most of it. I have 30 samples of a luxury wearable tech device I created. I want to put them in the hands of influencers to get data on form/fit/function/perceived value. But I have not written a provisional patent yet, and feel like that will take more time.Should I get the provisional patent first or can I get by with an NDA to protect me. I'm really just trying to quantify the qualitative interest I got from the pre-MVP prototype.
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computerguideworld-blog · 6 years ago
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Agtech startup Imago AI is using computer vision to boost crop yields
New Post has been published on https://computerguideto.com/must-see/agtech-startup-imago-ai-is-using-computer-vision-to-boost-crop-yields/
Agtech startup Imago AI is using computer vision to boost crop yields
Presenting onstage today in the 2018 TC Disrupt Berlin Battlefield is Indian agtech startup Imago AI, which is applying AI to help feed the world’s growing population by increasing crop yields and reducing food waste. As startup missions go, it’s an impressively ambitious one.
The team, which is based out of Gurgaon near New Delhi, is using computer vision and machine learning technology to fully automate the laborious task of measuring crop output and quality — speeding up what can be a very manual and time-consuming process to quantify plant traits, often involving tools like calipers and weighing scales, toward the goal of developing higher-yielding, more disease-resistant crop varieties.
Currently they say it can take seed companies between six and eight years to develop a new seed variety. So anything that increases efficiency stands to be a major boon.
And they claim their technology can reduce the time it takes to measure crop traits by up to 75 percent.
In the case of one pilot, they say a client had previously been taking two days to manually measure the grades of their crops using traditional methods like scales. “Now using this image-based AI system they’re able to do it in just 30 to 40 minutes,” says co-founder Abhishek Goyal.
Using AI-based image processing technology, they can also crucially capture more data points than the human eye can (or easily can), because their algorithms can measure and asses finer-grained phenotypic differences than a person might pick up on or be easily able to quantify just judging by eye alone.
“Some of the phenotypic traits they are not possible to identify manually,” says co-founder Shweta Gupta. “Maybe very tedious or for whatever all these laborious reasons. So now with this AI-enabled [process] we are now able to capture more phenotypic traits.
“So more coverage of phenotypic traits… and with this more coverage we are having more scope to select the next cycle of this seed. So this further improves the seed quality in the longer run.”
The wordy phrase they use to describe what their technology delivers is: “High throughput precision phenotyping.”
Or, put another way, they’re using AI to data-mine the quality parameters of crops.
“These quality parameters are very critical to these seed companies,” says Gupta. “Plant breeding is a very costly and very complex process… in terms of human resource and time these seed companies need to deploy.
“The research [on the kind of rice you are eating now] has been done in the previous seven to eight years. It’s a complete cycle… chain of continuous development to finally come up with a variety which is appropriate to launch in the market.”
But there’s more. The overarching vision is not only that AI will help seed companies make key decisions to select for higher-quality seed that can deliver higher-yielding crops, while also speeding up that (slow) process. Ultimately their hope is that the data generated by applying AI to automate phenotypic measurements of crops will also be able to yield highly valuable predictive insights.
Here, if they can establish a correlation between geotagged phenotypic measurements and the plants’ genotypic data (data which the seed giants they’re targeting would already hold), the AI-enabled data-capture method could also steer farmers toward the best crop variety to use in a particular location and climate condition — purely based on insights triangulated and unlocked from the data they’re capturing.
One current approach in agriculture to selecting the best crop for a particular location/environment can involve using genetic engineering. Though the technology has attracted major controversy when applied to foodstuffs.
Imago AI hopes to arrive at a similar outcome via an entirely different technology route, based on data and seed selection. And, well, AI’s uniform eye informing key agriculture decisions.
“Once we are able to establish this sort of relation this is very helpful for these companies and this can further reduce their total seed production time from six to eight years to very less number of years,” says Goyal. “So this sort of correlation we are trying to establish. But for that initially we need to complete very accurate phenotypic data.”
“Once we have enough data we will establish the correlation between phenotypic data and genotypic data and what will happen after establishing this correlation we’ll be able to predict for these companies that, with your genomics data, and with the environmental conditions, and we’ll predict phenotypic data for you,” adds Gupta.
“That will be highly, highly valuable to them because this will help them in reducing their time resources in terms of this breeding and phenotyping process.”
“Maybe then they won’t really have to actually do a field trial,” suggests Goyal. “For some of the traits they don’t really need to do a field trial and then check what is going to be that particular trait if we are able to predict with a very high accuracy if this is the genomics and this is the environment, then this is going to be the phenotype.”
So — in plainer language — the technology could suggest the best seed variety for a particular place and climate, based on a finer-grained understanding of the underlying traits.
In the case of disease-resistant plant strains it could potentially even help reduce the amount of pesticides farmers use, say, if the the selected crops are naturally more resilient to disease.
While, on the seed generation front, Gupta suggests their approach could shrink the production time frame — from up to eight years to “maybe three or four.”
“That’s the amount of time-saving we are talking about,” she adds, emphasizing the really big promise of AI-enabled phenotyping is a higher amount of food production in significantly less time.
As well as measuring crop traits, they’re also using computer vision and machine learning algorithms to identify crop diseases and measure with greater precision how extensively a particular plant has been affected.
This is another key data point if your goal is to help select for phenotypic traits associated with better natural resistance to disease, with the founders noting that around 40 percent of the world’s crop load is lost (and so wasted) as a result of disease.
And, again, measuring how diseased a plant is can be a judgement call for the human eye — resulting in data of varying accuracy. So by automating disease capture using AI-based image analysis the recorded data becomes more uniformly consistent, thereby allowing for better quality benchmarking to feed into seed selection decisions, boosting the entire hybrid production cycle.
Sample image processed by Imago AI showing the proportion of a crop affected by disease
In terms of where they are now, the bootstrapping, nearly year-old startup is working off data from a number of trials with seed companies — including a recurring paying client they can name (DuPont Pioneer); and several paid trials with other seed firms they can’t (because they remain under NDA).
Trials have taken place in India and the U.S. so far, they tell TechCrunch.
“We don’t really need to pilot our tech everywhere. And these are global [seed] companies, present in 30, 40 countries,” adds Goyal, arguing their approach naturally scales. “They test our technology at a single country and then it’s very easy to implement it at other locations.”
Their imaging software does not depend on any proprietary camera hardware. Data can be captured with tablets or smartphones, or even from a camera on a drone or using satellite imagery, depending on the sought for application.
Although for measuring crop traits like length they do need some reference point to be associated with the image.
“That can be achieved by either fixing the distance of object from the camera or by placing a reference object in the image. We use both the methods, as per convenience of the user,” they note on that.
While some current phenotyping methods are very manual, there are also other image-processing applications in the market targeting the agriculture sector.
But Imago AI’s founders argue these rival software products are only partially automated — “so a lot of manual input is required,” whereas they couch their approach as fully automated, with just one initial manual step of selecting the crop to be quantified by their AI’s eye.
Another advantage they flag up versus other players is that their approach is entirely non-destructive. This means crop samples do not need to be plucked and taken away to be photographed in a lab, for example. Rather, pictures of crops can be snapped in situ in the field, with measurements and assessments still — they claim — accurately extracted by algorithms which intelligently filter out background noise.
“In the pilots that we have done with companies, they compared our results with the manual measuring results and we have achieved more than 99 percent accuracy,” is Goyal’s claim.
While, for quantifying disease spread, he points out it’s just not manually possible to make exact measurements. “In manual measurement, an expert is only able to provide a certain percentage range of disease severity for an image example; (25-40 percent) but using our software they can accurately pin point the exact percentage (e.g. 32.23 percent),” he adds.
They are also providing additional support for seed researchers — by offering a range of mathematical tools with their software to support analysis of the phenotypic data, with results that can be easily exported as an Excel file.
“Initially we also didn’t have this much knowledge about phenotyping, so we interviewed around 50 researchers from technical universities, from these seed input companies and interacted with farmers — then we understood what exactly is the pain-point and from there these use cases came up,” they add, noting that they used WhatsApp groups to gather intel from local farmers.
While seed companies are the initial target customers, they see applications for their visual approach for optimizing quality assessment in the food industry too — saying they are looking into using computer vision and hyper-spectral imaging data to do things like identify foreign material or adulteration in production line foodstuffs.
“Because in food companies a lot of food is wasted on their production lines,” explains Gupta. “So that is where we see our technology really helps — reducing that sort of wastage.”
“Basically any visual parameter which needs to be measured that can be done through our technology,” adds Goyal.
They plan to explore potential applications in the food industry over the next 12 months, while focusing on building out their trials and implementations with seed giants. Their target is to have between 40 to 50 companies using their AI system globally within a year’s time, they add.
While the business is revenue-generating now — and “fully self-enabled” as they put it — they are also looking to take in some strategic investment.
“Right now we are in touch with a few investors,” confirms Goyal. “We are looking for strategic investors who have access to agriculture industry or maybe food industry… but at present haven’t raised any amount.”
Read more: https://techcrunch.com
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sheminecrafts · 7 years ago
Text
Agtech startup Imago AI is using computer vision to boost crop yields
Presenting onstage today in the 2018 TC Disrupt Berlin Battlefield is Indian agtech startup Imago AI, which is applying AI to help feed the world’s growing population by increasing crop yields and reducing food waste. As startup missions go, it’s an impressively ambitious one.
The team, which is based out of Gurgaon near New Delhi, is using computer vision and machine learning technology to fully automate the laborious task of measuring crop output and quality — speeding up what can be a very manual and time-consuming process to quantify plant traits, often involving tools like calipers and weighing scales, toward the goal of developing higher-yielding, more disease-resistant crop varieties.
Currently they say it can take seed companies between six and eight years to develop a new seed variety. So anything that increases efficiency stands to be a major boon.
And they claim their technology can reduce the time it takes to measure crop traits by up to 75 percent.
In the case of one pilot, they say a client had previously been taking two days to manually measure the grades of their crops using traditional methods like scales. “Now using this image-based AI system they’re able to do it in just 30 to 40 minutes,” says co-founder Abhishek Goyal.
Using AI-based image processing technology, they can also crucially capture more data points than the human eye can (or easily can), because their algorithms can measure and asses finer-grained phenotypic differences than a person might pick up on or be easily able to quantify just judging by eye alone.
“Some of the phenotypic traits they are not possible to identify manually,” says co-founder Shweta Gupta. “Maybe very tedious or for whatever all these laborious reasons. So now with this AI-enabled [process] we are now able to capture more phenotypic traits.
“So more coverage of phenotypic traits… and with this more coverage we are having more scope to select the next cycle of this seed. So this further improves the seed quality in the longer run.”
The wordy phrase they use to describe what their technology delivers is: “High throughput precision phenotyping.”
Or, put another way, they’re using AI to data-mine the quality parameters of crops.
“These quality parameters are very critical to these seed companies,” says Gupta. “Plant breeding is a very costly and very complex process… in terms of human resource and time these seed companies need to deploy.
“The research [on the kind of rice you are eating now] has been done in the previous seven to eight years. It’s a complete cycle… chain of continuous development to finally come up with a variety which is appropriate to launch in the market.”
But there’s more. The overarching vision is not only that AI will help seed companies make key decisions to select for higher-quality seed that can deliver higher-yielding crops, while also speeding up that (slow) process. Ultimately their hope is that the data generated by applying AI to automate phenotypic measurements of crops will also be able to yield highly valuable predictive insights.
Here, if they can establish a correlation between geotagged phenotypic measurements and the plants’ genotypic data (data which the seed giants they’re targeting would already hold), the AI-enabled data-capture method could also steer farmers toward the best crop variety to use in a particular location and climate condition — purely based on insights triangulated and unlocked from the data they’re capturing.
One current approach in agriculture to selecting the best crop for a particular location/environment can involve using genetic engineering. Though the technology has attracted major controversy when applied to foodstuffs.
Imago AI hopes to arrive at a similar outcome via an entirely different technology route, based on data and seed selection. And, well, AI’s uniform eye informing key agriculture decisions.
“Once we are able to establish this sort of relation this is very helpful for these companies and this can further reduce their total seed production time from six to eight years to very less number of years,” says Goyal. “So this sort of correlation we are trying to establish. But for that initially we need to complete very accurate phenotypic data.”
“Once we have enough data we will establish the correlation between phenotypic data and genotypic data and what will happen after establishing this correlation we’ll be able to predict for these companies that, with your genomics data, and with the environmental conditions, and we’ll predict phenotypic data for you,” adds Gupta.
“That will be highly, highly valuable to them because this will help them in reducing their time resources in terms of this breeding and phenotyping process.”
“Maybe then they won’t really have to actually do a field trial,” suggests Goyal. “For some of the traits they don’t really need to do a field trial and then check what is going to be that particular trait if we are able to predict with a very high accuracy if this is the genomics and this is the environment, then this is going to be the phenotype.”
So — in plainer language — the technology could suggest the best seed variety for a particular place and climate, based on a finer-grained understanding of the underlying traits.
In the case of disease-resistant plant strains it could potentially even help reduce the amount of pesticides farmers use, say, if the the selected crops are naturally more resilient to disease.
While, on the seed generation front, Gupta suggests their approach could shrink the production time frame — from up to eight years to “maybe three or four.”
“That’s the amount of time-saving we are talking about,” she adds, emphasizing the really big promise of AI-enabled phenotyping is a higher amount of food production in significantly less time.
As well as measuring crop traits, they’re also using computer vision and machine learning algorithms to identify crop diseases and measure with greater precision how extensively a particular plant has been affected.
This is another key data point if your goal is to help select for phenotypic traits associated with better natural resistance to disease, with the founders noting that around 40 percent of the world’s crop load is lost (and so wasted) as a result of disease.
And, again, measuring how diseased a plant is can be a judgement call for the human eye — resulting in data of varying accuracy. So by automating disease capture using AI-based image analysis the recorded data becomes more uniformly consistent, thereby allowing for better quality benchmarking to feed into seed selection decisions, boosting the entire hybrid production cycle.
Sample image processed by Imago AI showing the proportion of a crop affected by disease
In terms of where they are now, the bootstrapping, nearly year-old startup is working off data from a number of trials with seed companies — including a recurring paying client they can name (DuPont Pioneer); and several paid trials with other seed firms they can’t (because they remain under NDA).
Trials have taken place in India and the U.S. so far, they tell TechCrunch.
“We don’t really need to pilot our tech everywhere. And these are global [seed] companies, present in 30, 40 countries,” adds Goyal, arguing their approach naturally scales. “They test our technology at a single country and then it’s very easy to implement it at other locations.”
Their imaging software does not depend on any proprietary camera hardware. Data can be captured with tablets or smartphones, or even from a camera on a drone or using satellite imagery, depending on the sought for application.
Although for measuring crop traits like length they do need some reference point to be associated with the image.
“That can be achieved by either fixing the distance of object from the camera or by placing a reference object in the image. We use both the methods, as per convenience of the user,” they note on that.
While some current phenotyping methods are very manual, there are also other image-processing applications in the market targeting the agriculture sector.
But Imago AI’s founders argue these rival software products are only partially automated — “so a lot of manual input is required,” whereas they couch their approach as fully automated, with just one initial manual step of selecting the crop to be quantified by their AI’s eye.
Another advantage they flag up versus other players is that their approach is entirely non-destructive. This means crop samples do not need to be plucked and taken away to be photographed in a lab, for example. Rather, pictures of crops can be snapped in situ in the field, with measurements and assessments still — they claim — accurately extracted by algorithms which intelligently filter out background noise.
“In the pilots that we have done with companies, they compared our results with the manual measuring results and we have achieved more than 99 percent accuracy,” is Goyal’s claim.
While, for quantifying disease spread, he points out it’s just not manually possible to make exact measurements. “In manual measurement, an expert is only able to provide a certain percentage range of disease severity for an image example; (25-40 percent) but using our software they can accurately pin point the exact percentage (e.g. 32.23 percent),” he adds.
They are also providing additional support for seed researchers — by offering a range of mathematical tools with their software to support analysis of the phenotypic data, with results that can be easily exported as an Excel file.
“Initially we also didn’t have this much knowledge about phenotyping, so we interviewed around 50 researchers from technical universities, from these seed input companies and interacted with farmers — then we understood what exactly is the pain-point and from there these use cases came up,” they add, noting that they used WhatsApp groups to gather intel from local farmers.
While seed companies are the initial target customers, they see applications for their visual approach for optimizing quality assessment in the food industry too — saying they are looking into using computer vision and hyper-spectral imaging data to do things like identify foreign material or adulteration in production line foodstuffs.
“Because in food companies a lot of food is wasted on their production lines,” explains Gupta. “So that is where we see our technology really helps — reducing that sort of wastage.”
“Basically any visual parameter which needs to be measured that can be done through our technology,” adds Goyal.
They plan to explore potential applications in the food industry over the next 12 months, while focusing on building out their trials and implementations with seed giants. Their target is to have between 40 to 50 companies using their AI system globally within a year’s time, they add.
While the business is revenue-generating now — and “fully self-enabled” as they put it — they are also looking to take in some strategic investment.
“Right now we are in touch with a few investors,” confirms Goyal. “We are looking for strategic investors who have access to agriculture industry or maybe food industry… but at present haven’t raised any amount.”
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