Bhavik Nagda
@bhavikvnagda
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Investing @bessemervp. Previously eng @covariantai, alum @mit.
Joined September 2015
My response to @Tim_Dettmers great post last week that we won't reach AGI because of resource limitations. My take - there's a ton of headroom in today's systems, it's too early to say that we're limited in any real sense. There's so much to do! https://t.co/yBFqGGaPmv
danfu.org
Progress towards AGI – and generally-useful AI – has many paths forward.
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The team @DoppelHQ are building something so incredibly unique and desperately needed. Product velocity + complexity is off the charts! Thanks @OpenAI for partnering on an killer community event in SF 🙌🏽
Thank you to everyone who came out to our SF community event last week with @OpenAI. Incredible conversations with engineers, founders, and builders who are shaping where AI and security go next. We loved sharing how we’re building Doppel’s biggest products—and we’re even more
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Tons of new things in this release, move to a hybrid-reasoning model, perceptive tool calling (including our new Focus system), better OCR, better desktop use, and improved structured output, while remaining fast, compact, and deployable.
Today we’re open-sourcing a preview of our two new models in the Isaac family: hybrid-reasoning 2B and 1B-parameter best-in-class vision-language models. Weights → https://t.co/1WgHMDfCST Blog → https://t.co/8MOLPKpUhO Demo → https://t.co/sAKt5dnZ6U
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🚨 Isaac 0.1 from @perceptroninc is now live on Replicate. It's a lightweight, grounded vision-language model that excels at OCR, spatial reasoning, and visual question answering. Read more here: https://t.co/48JOrf8hhj
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Perceptron’s platform is here — built for Physical AI Developers can now use Isaac-0.1 or Qwen3VL 235B via: Perceptron API — fast, reliable multimodal intelligence Python SDK — simple, grounded prompting for vision + language Build apps that see and understand the world.
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"Foxglove is what you use if you're a roboticist." As an investor, it's rare to hear the kind of product love that we heard from Foxglove customers. We believe that, as in cloud saas, there is going to be a robotics infra stack - and Foxglove is that critical infrastructure.
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🚀 We just raised $40 million to build infrastructure for Physical AI! 🦾 AI is rapidly transforming critical industries like manufacturing, logistics, transportation, agriculture, construction, aerospace, and defense. Teams that win in the physical world are those who can
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More from our internal @BessemerVP robotics materials here:
bvp.com
How robotics, edge computing, and AI are transforming physical automation — and the investment opportunities we see ahead.
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Fascinating how seminal research threads can ripple through an entire ecosystem. The RT-X work quietly seeded a generation of startups rethinking robotic intelligence and dextrous manipulators. The RT-X mafia is real — who else should be on this list?
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Isaac 0.1 caught a few spots Neo missed — out of the box. At ~2B params, they could even run it on-board 👀
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Today we’re releasing the technical details behind Isaac 0.1. We built Isaac to demonstrate that with the right principles, a simple recipe can reach competitive performance with a small model. Check out the report at: https://t.co/Y1Ys2NHswX
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We just did World’s first on-stage autonomous demo of long-horizon dexterous VLA 🚨 No training. No setup. Performance out of the box. Live demo is hard and unpredictable, but we felt great about our model’s generalization, and it went pretty well! 💯 Zero-shot. 100% success.
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Isaac 0.1 perceptive-language model, 2B params, sets a new standard for efficiency, delivering capabilities that meet or exceed those of models over 50 times its size Visual QA, simply trained Strong results on standard understanding benchmarks with a straightforward,
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It's crazy to me that a 2B open weights model can do this in 2025. This can run on a toaster!
1/ Introducing Isaac 0.1 — our first perceptive-language model. 2B params, open weights. Matches or beats models significantly larger on core perception. We are pushing the efficient frontier for physical AI. https://t.co/dJ1Wjh2ARK
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Perceptron AI just unveiled Isaac 0.1, its first perceptive-language model and a major step toward AI that can truly understand and interact with the physical world. Fun fact: Isaac was trained on $NBIS AI Cloud. 👀 Isaac outperformed Gemini, GPT-4o, and Claude Opus 4.1 on key
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The next platform shift is physical AI: systems that perceive, reason, and act in the real world. @perceptroninc’s Isaac 0.1 is a big step—grounded answers, precise pointing, robust OCR, and few-shot perception in a 2B model that runs at the edge. Open weights + demo are up -
1/ Introducing Isaac 0.1 — our first perceptive-language model. 2B params, open weights. Matches or beats models significantly larger on core perception. We are pushing the efficient frontier for physical AI. https://t.co/dJ1Wjh2ARK
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1/ Introducing Isaac 0.1 — our first perceptive-language model. 2B params, open weights. Matches or beats models significantly larger on core perception. We are pushing the efficient frontier for physical AI. https://t.co/dJ1Wjh2ARK
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Work with me and the team @BessemerVP! We’re looking for someone superlative and deep in the AI ecosystem. You’ll be “full stack” w exposure to all aspects of VC. You'll work closely w the best founders and technical minds. We love what we do and hope you bring that passion.
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