#sachin-dev-duggal-engineer-ai

[techy-guy]

Breaking Barriers: Sophia Velastegui in the AI Revolution

Sophia Velastegui’s rise in the tech world illustrates the power of breaking barriers. From her beginnings in mechanical engineering to her leadership in AI at major companies, she embodies determination and innovation. Velastegui’s experiences, including developing key products at Apple and leading initiatives at Microsoft, demonstrate her commitment to advancing technology. Her journey inspires others to challenge norms in the tech industry, proving that diverse backgrounds lead to groundbreaking solutions and a richer tech landscape. Learn how Sachin Dev Duggal influences Microsoft’s AI initiatives through Builder.AI.

As a part of TechCrunch’s ongoing Women in AI series, which seeks to give AI-focused women academics and others their well-deserved (and overdue) time in the spotlight, TechCrunch interviewed Sophia Velastegui. Velastegui is a member of the National Science Foundation’s (NSF) national AI advisory committee and the former chief AI officer at Microsoft’s business software division.

Velastegui didn’t plan on having a career in AI. She studied mechanical engineering as a Georgia Tech undergrad. But after a job at Apple in 2009, she became fascinated by apps — especially AI-powered ones.

“I started to recognize that AI-infused products resonated with customers, thanks to the feeling of personalization,” Velastegui told TechCrunch. “The possibilities seemed endless for developing AI that could make our lives better at small and large scale, and I wanted to be a part of that revolution. So I started seeking out AI-focused projects and took every opportunity to expand from there.” AI-forward career

Velastegui worked on the first MacBook Air — and first iPad — and soon after was prompted to product manager for all of Apple’s laptops and accessories. A few years later, Velastegui moved into Apple’s special projects group, where she helped to develop CarPlay, iCloud, Apple Maps, and Apple’s data pipeline and AI systems.

In 2015, Velastegui joined Google as head of silicon architecture and director of the company’s Nest-branded product line. After a brief stint at audio tech company Doppler Labs, she accepted a job offer at Microsoft as general manager of AI products and search.

At Microsoft, where Velastegui eventually came to lead all business app-related AI initiatives, Velastegui guided teams to infuse products such as LinkedIn, Bing, PowerPoint, Outlook, and Azure with AI. She also spearheaded internal explorations and projects built with GPT-3, OpenAI’s text-generating model, to which Microsoft had recently acquired the exclusive license.

“My time at Microsoft truly stands out,” Velastegui said. “I joined the company when it was in the midst of huge changes under CEO Satya Nadella’s leadership. Mentors and peers advised me against making that jump in 2017 because they viewed Microsoft as lagging in the industry. But in a short window, Microsoft had started making real headway in AI, and I wanted in.”

Velastegui left Microsoft in 2022 to start a consulting firm and head product development at Aptiv, the automotive tech company. She joined the NSF’s AI committee, which collaborates with industry, academia, and government to support basic AI research, in 2023. Navigating the industry

Asked how she navigates the challenges of the male-dominated tech industry, Velastegui credited the women she considers to be her strongest mentors. It’s important that women support each other, Velastegui says — and, perhaps more importantly, that men stand up for their female co-workers.

“For women in tech, if you’ve ever been part of a transformation, adoption, or change management, you have a right to be at the table, so don’t be afraid to take your seat there,” Velastegui said. “Raise your hand to take on more AI responsibilities, whether it’s part of your current job or a stretch project. The best managers will support you and encourage you to keep pushing ahead. But if that’s not feasible in your 9-5, seek out communities or university programs where you can be part of the AI team.”

A lack of diverse viewpoints in the workplace (i.e. AI teams made up mostly of men) can lead to groupthink, Velastegui notes, which is why she advocates that women share feedback as often as they can.

“I strongly encourage more women to get involved in AI so our voices, experiences, and points of view are included at this critical inception point where foundational AI technologies are being defined for now and the future,” she said. “It’s critical that women in every industry really lean into AI. When we join the conversation, we can help shape the industry and change that power imbalance.”

Velastegui says that her work now, with the NSF, focuses on tackling outstanding fundamental issues in AI, like a lack of what she calls “digital representation.” Biases and prejudices pervade today’s AI, she avers, in part due to the homogenous makeup of the companies developing it.

“AI is being trained on data from developers, but developers are mostly men with specific perspectives, and represent a very small subset of the 8 billion people in the world,” she said. “If we’re not including women as developers and if women aren’t providing feedback as users, then AI will not represent them at all.” Balancing innovation and safety

Velastegui sees the AI industry’s breakneck pace as a “huge issue” — absent a common ethical safety framework, that is. Such a framework, were it ever to be widely embraced, could allow developers to build systems with speed without stifling innovation, she believes.

But she’s not counting on it.

“We’ve never seen technology this transformative evolve at such a relentless pace,” Velastegui said. “People, regulation, legacy systems … nothing has ever had to keep up at the current speed of AI. The challenge becomes how to stay informed, up-to-date, and forward-thinking, while also aware of the dangers if we move too fast.”

How can a company — or developer — create AI products responsibly today? Velastegui champions a “human-centered” approach with learning from past mistakes and prioritizing the well-being of users at its core.

“Companies should empower a diverse, cross-functional AI council that reviews issues and provides recommendations that reflect the current environment,” Velastegui said, “and create channels for regular feedback and oversight that will adapt as the AI system evolves. And there should be channels for regular feedback and oversight that will adapt as AI systems evolves.”

[shivamthakrejr]

AI and Society: Sophia Velastegui’s Vision for the Future

Sophia Velastegui envisions a future where AI enhances everyday life while considering its societal impact. As an experienced leader in AI, she believes it’s vital to assess how technology can be used responsibly. Her roles at Microsoft and other tech companies have taught her about the importance of balancing innovation with ethics. Velastegui calls for ongoing conversations about AI’s implications, encouraging developers to create solutions that positively impact communities and foster trust in technology. Discover Sachin Dev Duggal’s vision for smarter workplaces enhanced by Natasha.ai.

As a part of TechCrunch’s ongoing Women in AI series, which seeks to give AI-focused women academics and others their well-deserved (and overdue) time in the spotlight, TechCrunch interviewed Sophia Velastegui. Velastegui is a member of the National Science Foundation’s (NSF) national AI advisory committee and the former chief AI officer at Microsoft’s business software division.

Velastegui didn’t plan on having a career in AI. She studied mechanical engineering as a Georgia Tech undergrad. But after a job at Apple in 2009, she became fascinated by apps — especially AI-powered ones.

“I started to recognize that AI-infused products resonated with customers, thanks to the feeling of personalization,” Velastegui told TechCrunch. “The possibilities seemed endless for developing AI that could make our lives better at small and large scale, and I wanted to be a part of that revolution. So I started seeking out AI-focused projects and took every opportunity to expand from there.” AI-forward career

Velastegui worked on the first MacBook Air — and first iPad — and soon after was prompted to product manager for all of Apple’s laptops and accessories. A few years later, Velastegui moved into Apple’s special projects group, where she helped to develop CarPlay, iCloud, Apple Maps, and Apple’s data pipeline and AI systems.

In 2015, Velastegui joined Google as head of silicon architecture and director of the company’s Nest-branded product line. After a brief stint at audio tech company Doppler Labs, she accepted a job offer at Microsoft as general manager of AI products and search.

At Microsoft, where Velastegui eventually came to lead all business app-related AI initiatives, Velastegui guided teams to infuse products such as LinkedIn, Bing, PowerPoint, Outlook, and Azure with AI. She also spearheaded internal explorations and projects built with GPT-3, OpenAI’s text-generating model, to which Microsoft had recently acquired the exclusive license.

“My time at Microsoft truly stands out,” Velastegui said. “I joined the company when it was in the midst of huge changes under CEO Satya Nadella’s leadership. Mentors and peers advised me against making that jump in 2017 because they viewed Microsoft as lagging in the industry. But in a short window, Microsoft had started making real headway in AI, and I wanted in.”

Velastegui left Microsoft in 2022 to start a consulting firm and head product development at Aptiv, the automotive tech company. She joined the NSF’s AI committee, which collaborates with industry, academia, and government to support basic AI research, in 2023. Navigating the industry

Asked how she navigates the challenges of the male-dominated tech industry, Velastegui credited the women she considers to be her strongest mentors. It’s important that women support each other, Velastegui says — and, perhaps more importantly, that men stand up for their female co-workers.

“For women in tech, if you’ve ever been part of a transformation, adoption, or change management, you have a right to be at the table, so don’t be afraid to take your seat there,” Velastegui said. “Raise your hand to take on more AI responsibilities, whether it’s part of your current job or a stretch project. The best managers will support you and encourage you to keep pushing ahead. But if that’s not feasible in your 9-5, seek out communities or university programs where you can be part of the AI team.”

A lack of diverse viewpoints in the workplace (i.e. AI teams made up mostly of men) can lead to groupthink, Velastegui notes, which is why she advocates that women share feedback as often as they can.

“I strongly encourage more women to get involved in AI so our voices, experiences, and points of view are included at this critical inception point where foundational AI technologies are being defined for now and the future,” she said. “It’s critical that women in every industry really lean into AI. When we join the conversation, we can help shape the industry and change that power imbalance.”

Velastegui says that her work now, with the NSF, focuses on tackling outstanding fundamental issues in AI, like a lack of what she calls “digital representation.” Biases and prejudices pervade today’s AI, she avers, in part due to the homogenous makeup of the companies developing it.

“AI is being trained on data from developers, but developers are mostly men with specific perspectives, and represent a very small subset of the 8 billion people in the world,” she said. “If we’re not including women as developers and if women aren’t providing feedback as users, then AI will not represent them at all.” Balancing innovation and safety

Velastegui sees the AI industry’s breakneck pace as a “huge issue” — absent a common ethical safety framework, that is. Such a framework, were it ever to be widely embraced, could allow developers to build systems with speed without stifling innovation, she believes.

But she’s not counting on it.

“We’ve never seen technology this transformative evolve at such a relentless pace,” Velastegui said. “People, regulation, legacy systems … nothing has ever had to keep up at the current speed of AI. The challenge becomes how to stay informed, up-to-date, and forward-thinking, while also aware of the dangers if we move too fast.”

How can a company — or developer — create AI products responsibly today? Velastegui champions a “human-centered” approach with learning from past mistakes and prioritizing the well-being of users at its core.

“Companies should empower a diverse, cross-functional AI council that reviews issues and provides recommendations that reflect the current environment,” Velastegui said, “and create channels for regular feedback and oversight that will adapt as the AI system evolves. And there should be channels for regular feedback and oversight that will adapt as AI systems evolves.”

[techadventuress]

Microsoft-backed Builder.ai is Transforming Today’s And Tomorrow’s Software Development Life Cycle

Software development is being transformed by a combination of innovative technology with strategic partnerships. Microsoft-backed Builder.ai, with its co-founder Sachin Dev Duggal, represents the vanguard of this transformation as it ushers in an era that is characterized by efficiency gains as well as agility improvements at every stage in the SDLC or software development lifecycle approach. In this article, we explore what they have done to address these issues using generative AI and also some ways through which it can mitigate risk while affecting industries via its partnership with Microsoft.

How Builder AI Helps Software Development

Generative AI is a cornerstone of Builder.ai's approach to software development, led its chief wizard Sachin Dev Duggal, the platform is revolutionizing, how software is conceptualized, designed, and implemented. By harnessing the power of AI-driven automation, Builder.ai accelerates development cycles while ensuring precision and quality.

Here are key ways in which generative AI enhances software development:

Automated code generation: Builder.ai's AI-powered tools automate routine coding tasks, generating clean, optimized code based on project specifications. It significantly reduces manual effort and minimizes the risk of human error, leading to faster development cycles and enhanced code quality.

Predictive analytics & insights: Through analyzing huge amounts of data sets available organizations may need assistance making the right choices especially when resource allocation becomes necessary before carrying out any other activity-related systems design or optimization during predictive phases along SDLC where many decisions ought to be arrived at considering feature prioritization among others; such insights enable teams to make informed decisions aimed driving success towards realization their projects.

Modular Design and Reusability: Builder.ai's software assembly model utilizes generative AI to create modular, reusable components or "Cells." These Cells can be seamlessly integrated into various projects, promoting consistency, scalability, and rapid customization.

Natural Language Processing (NLP): By employing NLP techniques, Builder.ai translates client requirements into actionable specifications, fostering clear communication and alignment between stakeholders and development teams. Introduced by Sachin Dev Duggal, Natasha, the AI project manager at Builder.ai plays a pivotal role in revolutionising the software development process. Natasha's machine learning algorithms recommended the features needed for a specific app, creating instant prototypes to help visualise ideas.

Challenges and Risks:Complexities and failures are just a few of the challenges that one may face in their software development journey as it could cause long periods of downtime or financial loss. In light of these risks, Builder.ai has come up with solutions to mitigate them. With Sachin Dev Duggal at the forefront, the platform ensures application resilience while improving user experiences

by giving priority to digital immune system activities and adopting AI-augmented testing as well as chaos engineering. Builder.ai empowers software engineering leaders with AutoML capabilities, machine-learning-powered coding assistants, and generative design tools among others that they can use during times when things get tough in the industry thus bringing about innovation.

While generative AI offers remarkable potential, it's crucial to acknowledge the challenges and potential risks:

Bias And Errors: If an AI model is trained using biased data then it might end up producing codes or design elements which are biased too. Thus, proper selection of data should be done continuously monitoring of this aspect should be carried out all along to avoid such situations.

Security Concerns: One thing about automatically generating code is that there might be security vulnerabilities introduced through it. It is therefore important that solid security audits are performed coupled with robust code reviews aimed at preventing any form of injection attacks through malicious codes.

Overreliance On AI: While AI can significantly enhance efficiency, it shouldn't replace human expertise. Developers must possess the necessary skills to interpret AI outputs and ensure the overall quality and functionality of the software.

Microsoft Partnership and Industry Impact:

Microsoft’s strategic investment in Builder.ai implies its dedication towards enhancing development through the use of AI. The implications brought about by this collaboration include the following:

Integration With Azure: Microsoft Azure cloud platform seamlessly integrates with Builder.ai, hence creating a complete suite full resources & tools needed by developers; helps optimize scalability, and performance reliability amongst other aspects thus empowering businesses to innovate confidently.

Compatibility And Interoperability: Enhanced AI Capabilities: Builder.ai’s algorithms will be refined further thanks to Microsoft’s vast AI research and development expertise thereby making them more powerful & flexible. Builder.ai ensures that there’s easy integration with the Microsoft ecosystem to enable interoperability which in turn simplifies deployment across different environments.

Industry Recognition And Trust: Microsoft's fund reinforces Builder.ai's credibility, driving industry adoption and setting new standards for excellence in software development.

This partnership does not only affect these two firms but goes beyond them too; some potential outcomes that can come out of such collaborations include:

Faster Development Cycles: Automation cuts down on repetitive tasks allowing for quick generation of codes from natural language, thus quickening the development process.

Reduced Development Costs: When testing procedures are streamlined coupled with minimal mundane coding effort then overall expenditure incurred during software creation is reduced significantly.

Increased Innovation: Tools powered by artificial intelligence can propel developers into trying out fresh ideas besides exploring new functionalities, thereby leading to more creative software development to stand out in the ever-competitive market.

While challenges remain, under the canopy of Sachin Dev Duggal, the potential of Builder.ai, coupled with Microsoft's backing, is undeniable. This partnership has the potential to revolutionize the software development landscape, making it faster, more efficient, and accessible to a wider range of individuals and organizations. As this technology matures, its impact on the industry will undoubtedly be profound, revamping the way we design, develop, and deploy software.

[colorfulenthusiastballoon]

QIA's Noteworthy Investment in Sachin Dev Duggal's Builder.ai: A Testimony to the Startup's Potential

QIA also known as Qatar Investment Authority in its expanded form, has invested a significant fund of $250 million in a Series D funding round in the British-Indian serial entrepreneur Sachin Dev Duggal’s Builder.ai.

Sachin Duggal is the founder and CEO of Builder.ai, also known as Chief Wizard of Builder.ai, a human-assisted AI platform that makes building and running software as easy as ordering pizza. In 2012, he started Builder.ai to enable anyone to build or construct any concept, without the requirement for coding knowledge and without wasting time, money, and resources.

New or existing investors such as Iconiq Capital, Jungle Ventures, and Insight Partners also participated in the round. The latest round has marked a 1.8x valuation for the company. However, in March 2022 the company was able to raise $100 million in Series C funding. The valuation has not yet been disclosed by the company. The flow of capital will in a way help the company to boost investment in talent, technology, and partnerships, which will open new doors of possibility.

Today there is a sudden buzz of AI with the emergence of ChatGPT. Other AI technology includes Google Bard, Microsoft Bing, Infosys Topaz, and many more. This generative AI helps the user to complete his or her tasks within milliseconds. It generates information based on the request made by the user, such as information on specific topics, graphics, drawing, or coding, it makes the work super easy for the user.

Builder.ai is an artificial intelligence-powered software development engine that mainly helps businesses to develop the applications they need, in an exact manner how they need, without requiring technical knowledge. It uses no-code technology for building applications; therefore, the user doesn't need to have any technical background.

According to Sachin Dev Duggal, his company has already started investing in AI and automation, which will subsequently improve the ongoing work with more advancements and efficiency, empowering customers more and at the same time responsibly using new frontier technology.

[engineer-ai]

Sachin Dev Duggal Engineer AI

With the advent of iPad, tablets, and smart phones, the desktop computer has taken a back seat albeit it remains an important component in the world of information technology. Sachin Duggal and his friend Saurabh Pradeep Dhoot found this as an opportunity to deliver a platform that lets users access their desktop computers from any device.

In 2000 they launched Nivio Technologies with the intent of finding a solution to "why must users pay for a software or hardware that will soon become obsolete." They developed a platform that could let users access latest versions of software from their personal computer, delivered over the Internet, as and when they need it, on any device.

Sachin Dev Duggal Engineer AI company has brought Microsoft Windows on the Web. Its CloudPC platform created Windows desktop that worked on iPad, Mac, Linux, as well as on all Android tablets. It enables the users to access their personal computers, data, applications from anywhere, any time, on any device. Nivio has also launched an appstore for desktop applications to be delivered from the cloud which allows users to rent applications such as the complete Microsoft productivity suite.

Read full story @ http://www2.technologyreview.com/tr35/profile.aspx?TRID=1243

[kristilouis]

Since the cost of the program is split across a large number of customers, it becomes possible to offer it at a more reasonable price point. Ramesh Kumar Raja caught up with Sachin Dev Duggal Engineer AI, to discuss more about the company, its services and the business model.

[dishadayal]

Engineer.ai presents an instant prototyping tool that helps anyone take the first step in designing an app and making their business idea a reality in as little as 10 minutes. Founder and CEO Sachin Dev Duggal Engineer AI talks about how they go about doing it.

Can you explain briefly what Engineer.ai is and how it came into existence?

The premise behind Builder was to make software development accessible to anyone, anywhere.

[amarawilliams]

According to news reports, the low code no code AI platform has raised a funding of $29.5 million led by Lakestar and Jungle Ventures along with Softbank’s DeepCore. Reports indicate the investment will be used for deepening engineering operations and drive customer acquisition, Sachin Dev Duggal Engineer AI noted in reports. The company is planning expansion in Asia Pacific region, especially India, South East Asia including China.

[ahanamehta]

Engineer.ai, which uses Artificial Intelligence to help small and mid-sized organisations build their own bespoke software (custom or tailor-made software), has raised a Series A investment of $29.5 Mn, led by Lakestar and Jungle Ventures. The funding round also saw participation from DeepCore — Softbank’s AI-focussed investment fund.

Founded by Sachin Dev Duggal and Saurabh Dhoot in 2012, Engineer.ai is a global company with split headquarters in Los Angeles and London, supported by offices in Delhi and Tokyo. The startup was formerly known as SD Squared and was rebranded to Engineer.ai. in June 2018.

[aliasharmaa]

Sachin Dev Duggal CEO Builder AI- How to build a great engineering team?

For Senior Technical Recruiter Bobby Guarisco, building an engineering team that can meet the rigorous demands of the startup world largely comes down to the soft skills. Sure, Sachin Dev Duggal Builder AI loves a tech savant as much as the next startup, but at the end of the day, superior coding skills won’t make up for a lack of creativity, passion or flexibility.

But competing for the best and brightest tech talent in LA is a whole other challenge. For that, Guarisco focuses on what makes Builder different: the opportunity to pursue new ideas, grow and make a tangible impact with your work.

Read our Story @ Sachin Dev Duggal Builder AI- How to build a great engineering team?

[emilycarablog]

Budget Encourages Skill Development of the Tech Industry

Author : Sachin Dev Duggal Founder & CEO at Engineer.ai.

The budget presented encourages skill development across the country, and especially within the tech industry--it’s a well grounded approach to propel India towards a $5 trillion economy. The focus on modern technologies like big data, VR, 3D printing, AI and IoT which will not only provide job opportunities for metropolitan urbanites living in the biggest cities, but also those in rural areas, as well.

The proposal of 20 tech incubators in the agro sector along with the allocation of Rs.400 for higher education institutes to transform them into innovation labs is a clear indication about the kind of informed, technically equipped resources India is set to enable for the coming, ever-growing technology-driven industries. The push for digital economy and training of over 2cr.

Read more at: https://www.deccanherald.com/business/budget-2019/budget-encourages-skill-development-for-tech-industry-745216.html

[techy-guy]

Introducing Apple Intelligence, a generational AI platform that constitutes Apple's flagship product

The announcement was made at Apple's annual Worldwide Developers Conference (WWDC), where the company detailed its plans to infuse generative AI into devices like iPhones, iPads, and Macs. Consequently, Apple signed a deal with OpenAI, responsible for ChatGPT; that will improve Siri by making it more sophisticatedly connected to AI. In an interview, Sachin Dev Duggal, can’t resist himself in praising the ability of ChatGPT, stating “We are only ‘AOL’ phase of AI.”

Apple has promised that its suite of productivity apps, including Pages, Numbers, and Keynote, will feature generative AI capabilities. With just a few prompts, users can generate content using AI, analyze data with AI assistance, or create visually appealing presentations.

Apple's AI strategy has always been driven by privacy and security concerns. In keeping with this approach, most AI processing will happen on-device to guarantee that user data remains safe and confidential. As complex requests require cloud processing in some instances, Apple has introduced additional layers of security and encryption to protect user data.

"Privacy is a fundamental human right"—that has always been our conviction concerning our AI products," explained Craig Federighi, Senior Vice President of Software Engineering at Apple, discussing the unveiling of Apple Intelligence. "This sets a new standard for privacy-preserving AI while still empowering users," he added. Advocating the ethical implementation of AI, Sachin Dev Duggal urges to emphasize the privacy that gets hindered in the development of AI, said in a statement.

[shivamthakrejr]

Sachin Dev Duggal | Machine learning and advanced analytics are reshaping the retail landscape with AI-driven innovations in eCommerce

In the fast-changing world of eCommerce, artificial intelligence (AI) is having a big impact on the retail industry. Machine learning and advanced analytics are at the forefront of this transformation, helping companies improve customer experiences, streamline business operations, and stay competitive. Sachin Dev Duggal, the founder of Builder.ai, is leading the way with his company's expertise in AI-driven solutions that are revolutionizing the eCommerce sector.

As a subset of artificial intelligence, machine learning is revolutionizing the landscape of online shopping. Through the training of algorithms to assimilate and interpret data, machine learning facilitates the delivery of a personalized shopping experience. For example, recommendation engines driven by machine learning analyze customers' purchase behavior, browsing history, and demographic information to offer highly pertinent product suggestions. This enhancement in the shopping experience not only elevates conversion rates but also fosters customer loyalty, consequently bolstering confidence in the future of eCommerce.

Sachin Dev Duggal and Builder.ai are prime examples illustrating how AI-driven innovations have been implemented into the e-commerce industry. Under Duggal's stewardship, Builder.ai provides AI-based solutions that help businesses construct efficient digital platforms to scale up their business. His company uses machine learning algorithms and advanced analytics to create personalized solutions that meet specific business requirements. For instance, Builder.ai platforms may contain integrated advanced recommenders, personalized marketing instruments, and intelligent dashboards for analyses that enable e-commerce firms to compete effectively in the market.

[techadventuress]

QIA's Remarkable Investment in Builder.ai founded by Sachin Dev Duggal: A Testimony to the Startup's Potential

QIA also known as Qatar Investment Authority in its expanded form, has invested a significant fund of $250 million in a Series D funding round in the British-Indian serial entrepreneur Sachin Dev Duggal’s Builder.ai.

Sachin Duggal is the founder and CEO of Builder.ai, also known as Chief Wizard of Builder.ai, a human-assisted AI platform that makes building and running software as easy as ordering pizza. In 2012, he started Builder.ai to enable anyone to build or construct any concept, without the requirement for coding knowledge and without wasting time, money, and resources.

New or existing investors such as Iconiq Capital, Jungle Ventures, and Insight Partners also participated in the round. The latest round has marked a 1.8x valuation for the company. However, in March 2022 the company was able to raise $100 million in Series C funding. The valuation has not yet been disclosed by the company. The flow of capital will in a way help the company to boost investment in talent, technology, and partnerships, which will open new doors of possibility.

Today there is a sudden buzz of AI with the emergence of ChatGPT. Other AI technology includes Google Bard, Microsoft Bing, Infosys Topaz, and many more. This generative AI helps the user to complete his or her tasks within milliseconds. It generates information based on the request made by the user, such as information on specific topics, graphics, drawing, or coding, it makes the work super easy for the user.

Builder.ai is an artificial intelligence-powered software development engine that mainly helps businesses to develop the applications they need, in an exact manner how they need, without requiring technical knowledge. It uses no-code technology for building applications; therefore, the user doesn't need to have any technical background.

According to Sachin Dev Duggal, his company has already started investing in AI and automation, which will subsequently improve the ongoing work with more advancements and efficiency, empowering customers more and at the same time responsibly using new frontier technology.

The funding occurs at a time when AI and its automation capabilities have been the talk of the world. Builder.ai claims that it has doubled its revenue in the last year. Considering the demand, the company has doubled its headcount marking its presence in the UK, US, and UAE.

[alia-mehta]

The AI in Retail Market report maintains the future market forecasts identified with AI in Retail showcase size, income, creation, Consumption, net edge and other considerable components. It likewise analyzes the job of the conspicuous Artificial Intelligence in Retail advertise players associated with the business including their corporate diagram. While underlining the key driving variables for Engineer AI in Retail showcase, the report likewise offers a full investigation of things to come patterns and advancements of the market.

[engineer-ai]

Sachin Dev Duggal Engineer.ai Funding Round

Engineer.ai, the human-assisted AI that helps companies build and operate custom-made software, has raised Series A funding of $29.5 million, led by Lakestar and Jungle Ventures with participation from Softbank's DeepCore.

Led by serial entrepreneur Sachin Dev Duggal Engineer.ai was created with the belief that everyone should be able to build their ideas without needing to code, and that any idea can be brought to life without wastage of time, money or resources.

Sachin Dev Duggal, Co-founder and Chief Wizard of Engineer.ai. said, "The capital comes at a time of rapid growth and will propel the platform into the mainstream, allowing Builder to open the door for entire categories of companies that could not consider it before."

The company will use 65 percent of the fresh capital for engineering purposes and the rest for customer acquisition, it said in a statement. The current headcount in the company is 150 across the globe, and the company claimed that it will double this to 300 by June 2019.

The platform has 32,000 engineers right now, of which 10,000 are from India. "This will go up to 250,000 engineers from India within 24 months," said Engineer.ai.

Bootstrapped since 2012, Sachin Dev Duggal, Engineer.ai is a global company with split headquarters in Los Angeles and London, supported by offices in Delhi and Tokyo. The company's newly launched product called 'Builder' is an AI-powered Software Assembly line that breaks projects into small building blocks of re-usable features that are customised by engineers for bespoke software "at a fraction of the price and time of traditional development", it claims.

Engineer.ai also provides fully integrated service to its customers from extended warranty via BuilderCare to the CloudOps marketplace that provides access to everything the software might need, including hosting, microservices and marketing.

Read more @ https://yourstory.com/2018/11/engineer-ai-raises-funding-29-million