Gradient @GradientVC
The seed fund designed for founders in AI. gradient.com San Francisco Joined May 2019-
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Nice feature about @AirSpaceIntel in @nytimes today! @GradientVC nytimes.com/2026/09/18/us/…
Linkup just released SPARSEUP, its first open-source model—and a meaningful contribution to open retrieval. 149M params. 56.4 nDCG@10 on BEIR-13. Apache 2.0. Sub-ms retrieval with Seismic. It’s the strongest public vocabulary-based sparse retriever under 150M they know of. Now available on @huggingface! cc @GradientVC
Introducing SPARSEUP: the first model release from @Linkup_platform , and the missing sparse companion of DenseOn and LateOn. Same backbone, same data, <150M, 56+ on BEIR-13. The model is open-source, use it! Blog: linkup.so/blog/introduci… Model: huggingface.co/Linkup-Platfor… (Apache
Today we’re announcing we’ve raised $20M in seed financing led by @QuietCapital , with participation from @GradientVC , @haystackvc and @CompoundVC and other amazing folks to build the verification layer for AI-driven biology. We are also delighted to be welcoming @vqctran who is joining us from @GoogleDeepMind as a co-founder. AI is not going to cure all diseases without a verification substrate - a scalable environment where models can test predictions and learn against living human biology. AI is becoming increasingly capable of generating biological hypotheses, therapeutic candidates and experimental designs. But generating ideas is advancing much faster than our ability to test what those ideas will actually do in human biology. Existing systems force a tradeoff: the most biologically relevant approaches are slow and expensive, while faster in vitro and computational systems often lack the fidelity needed to capture human response. Polyphron’s bet is that tissue is the fastest, cheapest, most parallelizable verification substrate that still contains the biology that matters and we believe the path to biological superintelligence runs through closed-loop interaction with these living and simulated human systems. Thank you to @axios for covering the announcement. Link to our new website in the thread.
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After 10 incredible years at Google, I've left @GoogleDeepMind to join @thematthewosman and @FabioZB_I at Polyphron as a co-founder and explore the next frontier in my research passions. Together, we're training frontier models that autonomously explore, understand, and
Polyphron announced a $20M seed from @GradientVC @QuietCapital @CompoundVC in @axios today! They’ve built human tissue models and generation to validate new AI-created drugs. It’s an incredible mission that is unique and has the capacity to revolutionize how we get new drugs to market quickly and safely. axios.com/pro/biotech-de…
BackOps just raised a $42M Series B led by @insightpartners, six months after its $26M Series A led by @ttunguz @Theoryvc and only eighteen months after @GradientVC led the pre-seed! The bigger story: Backops is moving beyond automating individual tasks in fulfillment centers to becoming a “resolution layer” across the messy systems that run the physical economy—understanding context, making decisions, taking action, and learning from every outcome.
Great Saturday hosting the @GradientVC x @GoogleDeepMind x @tokensandai Open Models Hackathon 🤖 So much fun seeing everyone build with @LambdaAPI , @NangoHQ & @RespanAI & @googlegemma and some really cool 23 demos by the end of the day!! Thanks @DynamicWebPaige, @matthewridenour, @JaidevShah4, @bastienbeurier, @francchen, @TheZachMueller, @simontiu for all the supports and for judging! More to come 🚀
🔻Grateful to @GradientVC for hosting the open models hackathon this afternoon, sponsored by @LambdaAPI, @GoogleDeepMind, Nango, @tokensandai, & @RespanAI. So many projects built with @googlegemma, including an open version of Claude Design & open meeting transcripts/synopses!
So fun hosting an AI hackathon at @GradientVC today! Can’t wait to see what everyone builds! Thanks @GoogleDeepMind @RespanAI @LambdaAPI for the support 🚀
Excited to be a Startup Battlefield judge at TechCrunch Disrupt this year! techcrunch.com/2026/09/10/fir…
Photo of when I visited Oura in 2019 to make sure it was a real thing It was real and now it’s $1.4B in revenue Amazing. Congrats to all 🚀 (And to Teemu Kurppa for all his hard work, pictured)
"I'm not worried about discriminatory pricing. I'm worried about discriminatory access." Zach Bratun-Glennon, General Partner at Gradient, warns discriminatory pricing and data access could concentrate AI power, yet resists market regulation. "Only if you have very large budgets to spend and, you know, you promise to share your data back with the model company and you, you know, happen to be providing scarce data, then you get to use their frontier model." "I don't want to regulate our way into solutions here." "I'm betting on the ecosystem. Some something will emerge." @thezbg @GradientVC
Build in America. Invest in America. Create jobs in America. Every job at a data center is supporting a American family. It's putting food on the table, paying for rent, buying a truck, paying for education, supporting a community, and giving an entire family peace of mind.
Lambda's @stephenbalaban: If we offshore the data center buildout, we not only lose data center jobs. We also undermine reindustrialization, and lose the jobs reindustrialization would bring back. Because the AI buildout is driving the buildout of the domestic grid, which is
Excited to welcome @bradenharris0n to the investment team here at @GradientVC! Previously Braden worked on the investment team at Section32 and on the finance team @SingleStoreDB. Thrilled to have you on the team!
Open Model Hack · Sep 12 · San Francisco 🛠️ Build agents with open models, agent-native APIs + an inference/eval gateway. @GradientVC @tokensandai @GoogleDeepMind @LambdaAPI @NangoHQ @RespanAI Lambda cloud credits + prizes for top teams. Apply: luma.com/openmodelhack
Arga has raised $10 million in a seed funding round that was led by General Catalyst, with participation from Box Group, Emergence, Gradient and SV Angel. spr.ly/6012B1arz0
why we seeded @KernaLabs
Moderna just showed what mRNA can do beyond vaccines: its individualized cancer therapy, with Keytruda, succeeded in Ph3. When LLMs began rapidly progressing 3y ago, we made a bet that AI models can outperform human-led design to create better mRNAs. 🧵1/4
@EricTopol Despite its obvious misuse during Covid, mRNA has tremendous promise for curing diseases. Artificial RNA essentially makes curing diseases a software problem.
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