#SignalFire

[kamalkafir-blog]

Affiniti's 20- and 22-year-old founders raise $17M led by SignalFire just 6 months after an $11M seed

[TECH AND FINANCIAL] Affiniti founders Aaron Bai, 20, and Sahil Phadnis, 22, are building the kind of expense management software for main street small businesses that tech startups have enjoyed for years. Their growth has been so impressive that six months after raising an $11 million seed round, they raised a $17 million Series A, led by Signal Fire, they told TechCrunch exclusively. Affiniti…

[isfeed]

Conveyor uses AI to automate the painful process of vendor security reviews and RFPs with AI

The 4-year-old startup nabbed a $20 million Series B from SignalFire. Source: TechCrunch Conveyor uses AI to automate the painful process of vendor security reviews and RFPs with AI

[newtras]

Openai and Deepmind are losing engineers to anthropic in the battle of one talent

Anthropic makes an advantage in the war of AI talent, Top engineers' poaching from Openai and Deepmind. Opponent companies have been hitting to preserve AI elite researchers with high-paying and non-competitive payments. Anthropic emerges as a leader in the war of AI talents, delivering high talent from some of his main opponents. That is according to Venture Capital Signalfire Company released…

[satrthere]

Openai and Deepmind are losing engineers to anthropic in the battle of one talent

Anthropic makes an advantage in the war of AI talent, Top engineers' poaching from Openai and Deepmind. Opponent companies have been hitting to preserve AI elite researchers with high-paying and non-competitive payments. Anthropic emerges as a leader in the war of AI talents, delivering high talent from some of his main opponents. That is according to Venture Capital Signalfire Company released…

[inspire2rise]

AI’s Threat to Jobs: 40% of Employers Plan Cuts as Entry-Level Roles Dwindle

AI’s Impact on Jobs: 40% of Employers Plan to Cut Roles, SignalFire Reports Artificial Intelligence (AI) is reshaping the job market, with a World Economic Forum (WEF) survey released on May 28, 2025, revealing that 40% of employers plan to reduce roles where AI can automate tasks. This finding aligns with a SignalFire study showing a sharp decline in entry-level tech hiring, with large tech…

[er-10-media]

В IT исчезают вакансии начального уровня

New Post has been published on https://er10.kz/read/it-novosti/v-it-ischezajut-vakansii-nachalnogo-urovnja/

В IT исчезают вакансии начального уровня

Выпускники технических вузов в развитых странах столкнулись с беспрецедентными трудностями при трудоустройстве: рынок начальных вакансий в IT-сфере стремительно сокращается. Согласно данным венчурной компании SignalFire, с 2019 года найм молодых специалистов крупнейшими технологическими компаниями упал более чем на 50%.

Вместо предложений с шестизначными зарплатами и бонусами, которые были обычным делом еще несколько лет назад, сегодня выпускники ведущих вузов США стоят в длинных очередях на интервью – зачастую безрезультатно.

Одной из ключевых причин стало бурное развитие искусственного интеллекта. Многие компании, включая Salesforce и Shopify, прямо заявляют: часть рабочих функций теперь проще и дешевле передать ИИ, чем нанимать новичков.

– Раньше стартапы нанимали одного опытного разработчика и нескольких младших. Теперь – только опытных. Код, созданный ИИ, может быть не идеален, но он дешевле и быстрее, чем работа студента без опыта, – отмечает профессор компьютерных наук UC Berkeley Джеймс О’Брайен.

Снижение интереса к молодым кадрам сопровождается общим «сжатием» команд. С 2021 года средний возраст новых технических сотрудников вырос на три года – работодатели не хотят тратить ресурсы на обучение. Кроме того, массово сокращают стажировки – главный канал получения этого самого опыта.

Согласно опросам LinkedIn, поколение Z – самое обеспокоенное своими перспективами на рынке труда.

– Если раньше диплом Berkeley или Stanford открывал все двери, то теперь – это вообще не гарантия для получения работы. 80% вакансий для начинающих специалистов включают требование о наличии опыта работы в течение 2 лет, но его получить становится все сложнее, – отмечает руководитель карьерного центра San Francisco State University Пол Глантинг.

[zero2046-blog]

DoNotPay 创始人新设 3000 万美元基金 Browder Capital Fund Four，红杉资本、Accel 创始人等参投

深潮 TechFlow 消息，5 月 15 日，据 DoNotPay 创始人 Joshua Browder 披露，其新设立的 Browder Capital Fund Four 已完成 3000 万美元融资。本轮投资方包括 Sequoia Capital、Marc Andreessen、Chris Dixon，以及 Accel 创始人 Arthur Patterson、SignalFire 创始人 Walter Kortschak 等。机构投资者方面，Cendana Capital、General Endowment Management、Level Ventures、Hummingbird Ventures 和 Slipstream 均参投。

[sc4torccio]

@oupires asked: ☜ + the one in s3 where she realizes they’re doomed to spend another winter in the wilderness 🤭

out in the clearing, overwhelmed by the smothering anticipation of the scientists' planned arrival, waiting, given the hour, felt nearly akin to standing on a cliff face, waiting to leap. like wild signalfire, sending butterflies fluttering in the dark, festering pit in natalie's stomach. worse, though, and against her better judgment, remained the fact that a blossom of hope had nestled itself quietly behind the jutting rungs of her ribs: a seedling that felt like it could drift away at any moment. she couldn't let it. not while more than half of their splintered faction craved a way out of their living hell of a wasteland. not when they'd wanted an end to the ritualistic violence, the persisting pressures of surviving, and the chaos of nature's ungovernable power; the madness that, over time, they'd whittled into some twisted version of meaning to make the losses they'd endured that much less senseless.

nat's fingers uncurled and dug into the sleeves of her jacket, her searching gaze shifting along every tenebrous break in the trees she could half make out. akilah and mari's whispers, murmured between themselves, hardly broke her engrossment in the lulling, still darkness. there was a quiet excitement in their voices; something almost more frenzied than that that seemed to walk a razor rope between anxious and wanting.

through the cacophony of the wilderness' fauna, natalie thought she caught the sound of twigs cracking; the susurration of dried grasses and tree roots rustling under the near - silent tread of infringing footsteps. she turned, then, as the shadowed silhouettes of two intruding shapes emerged through the trees — and in the stretch of a heartbeat, the length of time it took to read the defeat on melissa's face for what it was, to absorb the discontent on gen's, any smouldering hope they'd flinted into being amongst themselves evaporated into nothing.

natalie could hardly take it in, at first. could hardly reckon with the perplexity in akilah's eyes, or the way mari's face fell.

" what's wrong? " she asked, all the same, the low hush of her furtive whisper wobbling a little. they'd been perfectly tight - lipped, careful not to let a word of their plans leak into camp where they might be discovered. but nothing had ever been quite so simple as holding onto a secret. " something happened, " melissa offered, that answer alone enough to carve out the flourishing, flowering hope from natalie's chest in one swift motion. " hannah shoved a knife through that guy's face. "

the subsequent denial in akilah's voice cut through any dented, rusting resistance nat still felt against any reality in which this was her life, and theirs, for the foreseeable, miserable forever. " I'm sorry, what? we're not going? "

" no, shauna knows. "

nat's heart stilled for a second, before it dropped in her chest like a weight around her ankles in freezing, ice - encrusted water. her extremities almost seemed to lose their feeling, the edges of her vision tunnelling into dusky, pernicious black.

that they wouldn't be going home tonight didn't seem possible, given how far they'd gotten. but the narrow window they'd planned for had slammed shut, without warning, cutting off their fingers at the callused knuckle. they wouldn't be leaving this place — the minuscule patch of the wild, untraversed world that'd already taken coach, jackie, javi. instead, they'd go back to their camp where brutality reigned above empathy. back to the huts they'd crafted and lined in deer pelts that scarcely kept out the rain. back to the animal pit that still stank of torture and human decay, and to coach scott's head, where it rested on the end of a hand - crafted pike: a terrifying portent of just how little humanity still existed there. back to the endless void that lead nowhere but to suffering.

a single tear beaded down nat's cheek before she could make any motion to stop it, to stifle it and lock it away into dormancy with every single one she'd shed for coach. for shauna's lost child. but when the others started to trail off, to make their slow, subdued sojourn back to their huts, like nothing had ever happened, an undammed flood of them started to rise behind her lashes, glinting a cold, blurring sheen. for a moment, she could almost pretend that she could still will them away — that the rolling, towering tidal wave of disappointment that'd crushed the air out of her lungs and rendered her fingertips completely insensate, despite the encroaching cold, could still subside somehow. that maybe there'd be another opportunity, somewhere in the distant, far flung future.

that if they survived long enough, there could still be another night like this. another knife. another plan.

that flickering, naive flame of short - lived consideration flared and shuddered out the instant nat dared to let herself appraise it, like someone had nipped at it with unfeeling fingers. only it hadn't been some punishing, outstretched hand that'd passed in front of natalie's glassy, thousand yard stare. it had been a single flake of glittering white, then another, and another — a shimmering, fine flurry, not dissimilar to the deluge that so often featured in the preludes to her worst recurring nightmares. a sudden and portentous icy draught. a huff of shaking breath that, for the first time in months, she could see as it condensed and misted into a fog in front of her very eyes.

the breath nat let out escaped at the crux of a despairing whimper, through cold - bitten, quivering lips: a shivering plea to the cold, lifeless sky, chased by a flash flood of rolling tears. a chest - rattling sob that no one would ever hear. winter was on their doorstep, unannounced, and there was nothing she could do to keep it out. nowhere to run. no way to escape it. six days trek through the woods with a man she wasn't sure she'd have trusted her bandana with might've saved them — even shauna, even lottie; but it was too late. the plan had crumbled, the knife nat had handed to hannah the key to its unravelling. and the snow that'd started to permeate the overhead canopy of fading, wilting green settled on her shoulders without permission, without inhibition, while she looked up into it: a gossamer dusting of it that endured, no matter how hard she shook in her loud, childlike anguish.

they were doomed. they'd only survived last winter by virtue of jackie's corpse and the barren, mold - infested cabin, out by the lake; by the ravenous, animal skin of their teeth. it hadn't been luck that'd seen them through exposure and starvation. just perseverance. just deranged, unstoppable desperation. this time, the notion of rescue dangled itself above it all, out of everyone's withering reach. it'd a been a pipe dream, as fragile as bone under eighty tons of falling steel and composite carbon — and natalie couldn't shake the thought that the loss of it had all but rendered laura lee's death a meaningless one. that ben's death had been for nothing. that jackie's remains had been desecrated for nothing. that she'd let javi thrash in the ice and bleed out in the snow for nothing.

that when the height of winter set in, the rest of their deaths would be meaningless, too.

[jcmarchi]

How Sudolabs brings practical AI solutions to multiple industries

New Post has been published on https://thedigitalinsider.com/how-sudolabs-brings-practical-ai-solutions-to-multiple-industries-2/

How Sudolabs brings practical AI solutions to multiple industries

Can you give us a short intro about Sudolabs? 

Sudolabs started as a digital product agency serving startups, guiding them through idea validation, product discovery, UX/UI design, and software development; we’ve covered the full spectrum.

Currently, we are focusing on enterprise solutions, specializing in AI and Digital Transformation. We help clients identify impactful use cases and ensure the seamless execution of those solutions. 

What inspired Sudolabs to dive into the world of Enterprise AI and Digital Transformation? Can you tell us a bit about the journey so far? 

When we started Sudolabs, we focused on the startup space and had a lot of success there.

Since 2018, we’ve helped start-ups and scale-ups launch over 50 products with a combined valuation of $1.5 billion. These products have raised $200 million across multiple rounds, with backing from top investors like Andreessen Horowitz, SignalFire, and Salesforce Ventures.

Working alongside some of the brightest minds in tech has been incredible.  

The transition to the enterprise segment happened quite naturally. As we grew and brought on some amazing talent, we started working with top Silicon Valley startups, which helped us build a strong reputation. This led to our first enterprise clients from the region reaching out, and we began working on larger, more complex projects.  

Ultimately, we started to explore enterprise verticals in more depth. We have delivered multiple projects, and our clients were quite impressed with our iterative process of building digital

products. We were used to fast-paced environments and quick iterative cycles when it comes to developing products. Our approach was appreciated a lot by our new enterprise clients. 

We also enjoyed the challenges they brought—they pushed us to think bigger and innovate more. Over time, this passion made it clear that diving deeper into Enterprise AI and digital transformation was the right path for us.  

Your transition toward AI and Digital Transformation has surely expanded your playing field — which new verticals have become priorities for you? 

We are, first and foremost, technology pioneers, not confined to any specific vertical. Sudolabs’ expertise lies in understanding emerging technologies, AI trends, and how users interact with these innovations.

Over time, this has naturally led us to have more expertise in certain industries, for instance we have long track-record working with banking institutions, or manufacturing companies. However, our tech expertise is applicable across different segments. 

From finance to manufacturing, how does Sudolabs tailor its approach to meet the unique needs of each industry it serves? 

At Sudolabs, we know that each industry—whether it’s finance, manufacturing, or healthcare— comes with its own unique needs. That’s why we don’t take a one-size-fits-all approach. Instead, we start with a tailored product discovery process that lets us dive deep into each client’s specific challenges and goals before any development begins. 

This discovery phase is crucial because it allows us to understand the ins and outs of their business, identify what’s working well, and spot areas where we can make the biggest impact. For example, in finance, we’re especially mindful of data security and regulatory demands, whereas in manufacturing, we might focus more on optimizing processes through predictive maintenance and AI-powered automation. 

By engaging closely with stakeholders early on, we ensure our solutions are not only technically robust but also genuinely aligned with what matters most to them. This way, we’re creating value that’s practical and meaningful for each industry we serve.

Could you share a behind-the-scenes look at some of the results Sudolabs has achieved for its clients? 

Certainly, we’ve had the chance to work with some amazing clients over the years, but let me share a few of our favorite collaborations. 

For a global steel manufacturer, we developed an AI-driven system to optimize their storage and furnace operations, which reduced their energy and emissions costs by 5%. Hitting ROI within a year, this project has been a great example of how AI can make heavy industry more efficient and sustainable. 

In the customer service, we worked with a major US-based outsourcing company, processing over 1.4 million call transcripts to help automate insights on metrics like handle time and customer satisfaction. By implementing advanced language models, we gave them a powerful tool to pull actionable insights, making their decision-making faster and more data-driven across all their call centers. 

For a major European insurance company, we developed a digital tool for better risk prediction and hazard assessment. It automates geospatial data processing and now supports over 1 million policies across 15 countries, helping more than 700 risk engineers focus on higher-value work and enabling faster, more accurate risk evaluations. It’s also been a big time-saver, freeing up over 20% of underwriting agents’ time. 

And for a marketing client with multiple agencies, we created an AI-powered lead-generation tool that personalizes reports for over 100 marketing use cases. This tool has not only streamlined their MQL process but also boosted engagement by matching customers with the right AI solutions, making lead generation much more efficient. 

AI is a very general term – what technologies do you work with and do you create success for your clients? 

We have expertise working across all key AI domains, as well as data infrastructure setup. In terms of infrastructure, that is a very interesting topic. A lot of people do not realize that in order to utilize

AI tools, you need to set up the right infrastructure to collect and process your data. Without this, you cannot train your Large Language Models or your Machine Learning Models. 

In terms of specific verticals within what people call AI today, we have experience working with LLMs and Gen AI, Traditional Machine Learning and Big Data, and other specialty AI domains, such as Computer Vision. There are multiple use-cases how to utilize all of the aforementioned technologies. 

Numbers speak louder than words—what are some key metrics that illustrate the transformative power of Sudolabs’s work? 

There are individual metrics or KPIs that each our client looks at, however ROI is definitely something what we take into consideration where we try to help our clients define the right business use-cases. For many, the improvements we bring are paying off quickly, and hitting that ROI target shows just how impactful our solutions can be. 

For companies new to AI, adapting can be a big leap. How does Sudolabs guide clients through the transition smoothly? 

We start by getting to know their business inside and out. Our team conducts in-depth assessments to understand their objectives, challenges, and existing processes. This helps us identify where AI can add the most value to their operations. Based on our findings, we develop a tailored AI strategy that aligns with their business goals. This roadmap outlines clear steps, timelines, and measurable milestones, ensuring everyone is on the same page. 

Our experts collaborate closely with our clients’ teams during the implementation phase, ensuring knowledge transfer and addressing any concerns promptly. We design AI systems that grow with our clients’ business. Our solutions are scalable and flexible, allowing them to expand AI capabilities as their needs evolve. Post-implementation, we don’t just walk away. We offer continuous support and maintenance services to ensure the newly adapted technology will be successful. On top of that, we prioritize data security and ethical AI use. 

Beyond delivering solutions, how does Sudolabs engage with communities to foster a broader understanding and excitement around AI? 

We’ve always believed that building a strong community is key, especially in the startup world where having a solid network really matters. So, we started hosting events under the SF Founders Collective, which kicked off in San Francisco and pretty quickly spread to other cities like NYC, Austin, and Salt Lake City. 

These events bring together founders and connect them with top VC experts, so they get practical insights that they can actually use. Lately, we’ve been focusing a lot on AI, diving into real-life applications and making the tech feel more accessible. 

For us, it’s not just about delivering solutions; it’s about creating a community that’s genuinely interested in learning and growing together in this space. We’re building places where founders can connect, share ideas, and hopefully get inspired about where AI can take them next.

In an increasingly competitive field, what do you think truly sets Sudolabs apart as a leader in Enterprise AI? 

What sets us apart as a leader in Enterprise AI Transformation is our personalized and practical approach. We focus on truly understanding each client’s unique challenges and goals, and we tailor our AI solutions to meet those specific needs.

Our team combines deep industry knowledge with advanced AI expertise, ensuring that our strategies are both innovative and grounded in real-world applicability. By emphasizing measurable results and fostering close collaboration, we help our clients successfully navigate AI adoption and achieve meaningful business outcomes. 

If you’re interested in exploring tailored solutions for your business, don’t hesitate to reach out to us: https://sudolabs.com/contact.

[automatismoateo]

Godspeed Jimmy Carter via /r/atheism

Godspeed, Jimmy Carter I always had a soft spot for this one - he tried his best under difficult circumstances, truly highly intelligent and educated, took a lot of undeserved criticism (and he looked a lot like my late father); I'm truly an atheist but if anyone ever exemplified the idea of 'christian' it was him. We'd be lucky to have more leaders like him. Submitted December 30, 2024 at 09:24PM by signalfire (From Reddit https://ift.tt/01Fu298)

[ndigitalhealth]

PayZen Secures $232M Series B Financing to Tackle Healthcare Affordability

Health technology company PayZen has secured $232 million in series B financing round to continue tackling healthcare access and affordability through its payment platform.

Co-founded in 2019 by Itzik Cohen, Tobias Mezger, and Ariel Rosenthal, the EHR integrative platform aims to make medical bills affordable to patients while boosting cash flow for medical service providers.

PAyZen’s series B financing round was co-led by New Enterprise Associates (NEA) and Magenta Medical Ltd., with a significant contribution from existing investors SignalFire, 7wireVentures, and Viola Ventures, alongside other angel investors.

Read more: https://nextdigitalhealth.com/funding-news/payzen-secures-232m-series-b-financing-to-tackle-healthcare-affordability/

fundingnews #FundingOpportunity #SeriesB #StartupFunding #StartupSuccess #HealthcareNews #HealthcareFunding #nextdigitalhealth #Wi4 #vineetagrawal

[kamalkafir-blog]

AI disrupting entry-level job market for college graduates: Report

(NewsNation) — As artificial intelligence becomes more prevalent, many traditional entry-level jobs for recent college graduates are changing or being eliminated altogether. A new report from SignalFire, a data-driven venture capital firm, suggests AI is responsible for a 25% decrease in the hiring of recent graduates by major tech companies, including Meta, Microsoft and Google. Asher Bantock,…

[isfeed]

Affiniti’s 20- and 22-year-old founders raise $17M led by SignalFire just 6 months after an $11M seed

Affiniti founders Aaron Bai and Sahil Phadnis are building the kind of expense management software for main street small businesses that tech startups have enjoyed for years. Source: TechCrunch Affiniti’s 20- and 22-year-old founders raise M led by SignalFire just 6 months after an M seed

[newtras]

AI has shrunk entective-level busy in technology and new research is recommended

If If AI is replacing people's work, there are a number of debates if they replace people's work. Although AI is difficult to make sure the AI ​​is difficult to speak to be carefully to speak out of the chapter of the people's room roles World Economic Forum 40% of employers find that AI is intended to cut off the job automatically auto employees. Researchers from signalfire Data-driven VC…

[satrthere]

AI has shrunk entective-level busy in technology and new research is recommended

If If AI is replacing people's work, there are a number of debates if they replace people's work. Although AI is difficult to make sure the AI ​​is difficult to speak to be carefully to speak out of the chapter of the people's room roles World Economic Forum 40% of employers find that AI is intended to cut off the job automatically auto employees. Researchers from signalfire Data-driven VC…