Frontier Ventures is a family of venture funds investing in early stage AI companies. Early investors in @Turingcom, @Expert_360, @Stacks, @ema_unlimited

Cupertino, CA
Surviving and Thriving In The Age of AI: Useful Ideas for Founders by Dmitry Alimov, Fabian Flatz frontier.ventures/surviving-…
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Major product release from the team at Onramp today! They're launching Aero, agentic AI built for customer onboarding. Not a chatbot, not a co-pilot — agents that actually do the work, for everyone in the relationship: 🔹 For customers — real-time guidance and smart nudges when they stall 
🔹 For customer-facing teams — early disengagement signals and automated re-engagement 
🔹 For operations teams — deployment-ready playbooks in minutes, not days Scale onboarding without scaling headcount. Worth a look 👇  onramp.ai/aero  #CustomerOnboarding #AgenticAI #OnRamp #AeroAI
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We’re thrilled to partner with OnRamp as they redefine customer onboarding through automation and intelligence. This $15m investment will help the team scale their AI capabilities, and grow their world-class team onramp.us/blog/ai-summaries-…
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Turing partnered with @SFResearch to evaluate Olympiad-grade mathematical reasoning in frontier models like GPT-5, Gemini 2.5 Pro, and Claude Sonnet 4. Over 200 long-form math responses were annotated step-by-step using a zero-tolerance, carry-forward logic rubric. Each step received a binary correctness label and written justification, executed by PhDs and domain experts. 500+ hours of expert annotation produced a benchmark-grade dataset with 100% compliance to Salesforce’s strict evaluation standards. The results: higher fidelity in reasoning verification, stronger model alignment, and a clearer view of how LLMs handle symbolic problem solving at scale. From RL Gyms to reasoning datasets, Turing accelerates post-training research with human precision and enterprise-grade rigor. Case Study Below.
Hard2Verify: A Step-Level Verification Benchmark for Frontier Math 🎯 LLMs now achieve gold-level performance on IMO problems 🏅, but training these reasoners requires verifiers that can catch subtle step-level mistakes. We introduce Hard2Verify—500+ hours of human annotation assessing verifiers on frontier LLM responses to challenging, open-ended math problems 🧮 Key findings: Open-source verifiers struggle to identify errors, often marking nearly all steps as correct. Weaker models achieve near-0 True Negative Rate while True Positive Rate approaches 1 📊 📄 Paper: bit.ly/4ofghQs 💻 Code: bit.ly/3LxNOH4 📊 Dataset: bit.ly/4npShcb Work by @ShreyPandit2001, @austinmxu, Xuan-Phi Nguyen, @yifeiming1, @caimingxiong, @JotyShafiq #FutureOfAI #EnterpriseAI #MachineLearning #DeepLearning #MathematicalReasoning #AIVerification
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🚀 AI is eating the Internet @Turingcom is powering the next era of AI — from frontier data to frontier models. Check out @jonsid's deep dive on the Sourcery Podcast🎧 Listen & read → sourcery.vc/p/exclusive-insi…
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The hidden force behind the AI revolution: @Turingcom’s technology powers most US AI giants. Grateful to be on this journey @jonsid 🙏 Full speed ahead! ⚡ 🎧 Listen → sourcery.vc/p/exclusive-insi… (Sourcery) 📺 Watch → youtube.com/watch?v=ZAY9D1Y9… (YouTube) 🎙️ Audio → ivoox.com/en/inside-the-2-2b… (iVoox) 📱 Podcast show → open.spotify.com/episode/1VP… (Spotify) #AI #Superintelligence #Turing #AGI #FrontierData
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BREAKING: AI has eaten the Internet. Data labeling is so over. & $30 trillion of human work is on the verge of automation. Inside The $2.2B AI Research Accelerator, Turing Founder & CEO, Jonathan Siddharth (@jonsid), joins Sourcery to break down the severe power shift in AI training: from commodity data labeling → expert research Positioning @turingcom apart from AI data providers like Scale AI, Mercor, & Surge. (00:00) AI Ate The Internet (00:49) Training Superintelligence: the race to AGI (02:31) Viral tweet (03:24) What Turing actually does (04:43) The internet data is “used up” — where will new data come from? (05:34) Four pillars of superintelligence: multimodality, reasoning, tool use, coding (06:07) Automating $30T of global knowledge work (09:18) The $1B revenue opportunity (10:59) Why Turing is a research-first accelerator, not a data labeler (13:45) Jonathan’s Stanford AI Lab roots & founding DNA (17:57) How models are built: pre-training vs. post-training (20:14) RLHF, reinforcement learning, & “breaking the models” (25:19) GPT-5 and the myth of rapid takeoff (30:46) Safety debates and human-in-the-loop systems (34:53) Closing Enterprise Gap: finance, insurance, & pharma (39:23) Why proprietary enterprise data is the next moat in AI
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75 years after the Turing Test, AI has surpassed it. The real question now isn’t whether AI can fool us, it’s how far it can empower us. That’s the future we’re building at Turing: humans & AI working together to achieve what neither could alone.
75 years ago, Alan Turing asked: “Can machines think?” His test for machine intelligence defined an era. Today, AI has blown past it. So the real question is: what comes after the Turing Test?
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Just returned from an incredible trip to Japan for the newly signed partnership between our friends at OpenAI & Hitachi. It's clear we're in the next era of the AI race & global collaboration is imperative to unblock bottlenecks With this partnership OpenAI will work with Hitachi's energy & power grid operations, cooling equipment, storage, & its digital solutions hub, Lumada. Turing is here to proudly support the data pillar of AGI infrastructure & enterprise AI solutions. Historic moment.
Hitachi CEO Toshiaki Tokunaga met @OpenAI CEO Sam Altman in Tokyo today.​ We signed a landmark MoU to collaborate on sustainable and plentiful energy to power the growth of AI in our society.​ This is a significant development, a big step forward for the future of #genAI @sama
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Enjoyed sharing Turing’s mission & strategic unlock in the race to AGI with Molly. AGI needs research, compute, & data. Turing is at the forefront. Exciting times ahead. Full speed.
BREAKING: AI has eaten the Internet. Data labeling is so over. & $30 trillion of human work is on the verge of automation. Inside The $2.2B AI Research Accelerator, Turing Founder & CEO, Jonathan Siddharth (@jonsid), joins Sourcery to break down the severe power shift in AI training: from commodity data labeling → expert research Positioning @turingcom apart from AI data providers like Scale AI, Mercor, & Surge. (00:00) AI Ate The Internet (00:49) Training Superintelligence: the race to AGI (02:31) Viral tweet (03:24) What Turing actually does (04:43) The internet data is “used up” — where will new data come from? (05:34) Four pillars of superintelligence: multimodality, reasoning, tool use, coding (06:07) Automating $30T of global knowledge work (09:18) The $1B revenue opportunity (10:59) Why Turing is a research-first accelerator, not a data labeler (13:45) Jonathan’s Stanford AI Lab roots & founding DNA (17:57) How models are built: pre-training vs. post-training (20:14) RLHF, reinforcement learning, & “breaking the models” (25:19) GPT-5 and the myth of rapid takeoff (30:46) Safety debates and human-in-the-loop systems (34:53) Closing Enterprise Gap: finance, insurance, & pharma (39:23) Why proprietary enterprise data is the next moat in AI
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Frontier labs don’t need more vendors. They need research accelerators—neutral, fast-moving partners built for coding, reasoning, multimodality, and real-world RL. Here’s why neutrality matters more than ever ⤵️ bit.ly/4l6Dumc
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Big things are happening at @turingcom, and we’re just getting started. If you’re ready to make an impact, we’d love for you to join us! workspace.google.com/blog/ai…
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"We partner with Turing on our hardest workflows" - One of the largest AI labs in the world that we generate data for.
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Finlens is live on Product Hunt🔥 Accounting shouldn’t feel like assembling a jigsaw puzzle at month-end. We’ve built Finlens as your co-pilot for QuickBooks, to give founders clarity and firms control. No more spreadsheet gymnastics. No more chasing receipts. Just real-time books. GAAP schedules. And faster, cleaner closes. We’re backed by @ycombinator and @Accel But more than that, we’re backed by the conviction that accounting should be faster, sharper, and less painful. If you’re a founder or an accountant tired of the chaos behind clean books, come take a look. Check our @ProductHunt launch here producthunt.com/products/fin… #aiaccounting #producthuntlaunch #finlens
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Just got back from @RaiseSummit in Paris—where AI's top names like Groq, Cerebras, Eric Schmidt, Lovable, & Windsurf all took the stage Yet one unexpected player stood out as the next breakout AGI leader.. Stats: - $300M+ in Rev (profitable!) - $225M in funding, $2.2B valuation - Network of 4M+ engineers - Customers: OpenAI, NVDA, Anthropic, Google, MSFT, Meta, Salesforce, Amazon Any guesses?
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We are witnessing the end of data vendors and the rise of research accelerators. Turing is “Switzerland” — the neutral, strategic data partner to all frontier AI labs. See more of my thoughts at our latest blog post here: turing.com/blog/turing-is-sw…
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Meta’s $15B investment in ScaleAI highlights the importance of data partnerships for advancing AGI. At Turing, we remain fully neutral, serving all frontier models equally. Excited to continue to serve as a trusted research accelerator to all AI labs in need of high quality data to train their models. If you want to keep advancing in coding, reasoning, agentic workflows, multilinguality, and multimodality (audio, video, vision, and computer use agents), come talk to us @turingcom. The AGI race is on. 🚀
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I’m hiring a Chief of Staff at Turing. You’ll work directly with me on a wide range of high-leverage, high-impact projects across the company. It’ll be intense and a lot of work — but also deeply rewarding. You’ll get a front-row seat to scaling a high-growth company and work with an incredible team. @turingcom is at the center of the AGI revolution. Our customers include many of the top frontier AI labs and enterprises deploying real-world AI systems. You’ll help shape how AGI gets built and applied in the world. Past Chiefs of Staff at Turing now lead major functions. You’ll learn fast, grow fast, and push your learning rate to the max. Great signals: VC, strategy consulting, startup biz ops, or having been a founder. If interested, email subhashini@turing.com and cc me (jonathan.s@turing.com). Feel free to share this with any exceptional folks you know.
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.@OpenAI's GPT-4.1 lineup (plus mini & nano) brings major upgrades for coding—1M-token context, better code reasoning, and real-time performance. At Turing, we help teams implement and scale these tools across developer pipelines 🚀 💻 tcrn.ch/4j9gHFz
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The future of AI infrastructure? It's already here—thanks to @Google Cloud Next 2025. Turing helps enterprises use it. From Gemini integration to scalable post-training, we turn breakthroughs into business results. blog.google/products/google-… Contact us: turing.com/contact-us
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