We set the standard in seed. Early investors in @Coinbase, @Instacart, @Rippling, @Flexport, @Flock_Safety + more — $3B+ AUM, $200B+ in company valuations.

San Francisco + NYC
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Solo: Bringing Mission Control onboard. Taking control in 2027.
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Greptile has reviewed over 395,000 pull requests across @NVIDIA‘s large, complex codebases, where keeping up with code review was taking a growing share of engineers' time. On one team, the average time to merge went from more than 24 hours to 6 hours.
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Frontier AI models like Astra and Fable can control robots to follow harmful requests, including mixing household cleaners that could produce toxic fumes. Thanks @GadiNBC and @NBCNews for having @sebwarb1 and me from @robocurve! Public reporting on AI's capabilities and risks helps make it safer for everyone.
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Second consecutive year on @TIME's World's Top HealthTech Companies, with Outstanding Performance in AI & Data Analytics. That recognition belongs to the 500+ healthcare organizations we work with, where AI now absorbs the admin work for care and billing teams alike. Read more:commure.com/press-releases/c…
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.@EliSchleifer saw two very different versions of engineering at scale. At Google, internal tooling helped teams land code quickly. At Uber ATG, 700 engineers could spend days just getting a pull request merged. That gap helped lead him to start @trunkio. More on CI, merge queues + flaky tests in the full High Bit episode with @brettdg: piped.video/watch?v=zNXJVeGc…
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Congrats to @medivis_ai on being named to @FastCompany’s Innovation by Design Awards! Medivis was recognized in the Small and Mighty category for Cranial Navigation, its AR platform for 3D visualization during cranial procedures. More about Medivis: medivis.com/navigation/crani… Meet all of the award honorees: fastcompany.com/innovation-b…
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Introducing the Knowledge Base MCP. Greptile maintains a detailed knowledge base of how every part of your codebase works, as well as a history of past incidents. Starting today coding agents like Codex, Claude can access the Knowledge Base via Greptile's MCP, so they can use Greptile's learnings to write better code.
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Every correction your SMEs make to a model's output is institutional judgment, written down. Rent the model and that judgment goes into the vendor's product, which they can sell to your competitor. Own it and it compounds. Day 100 beats day 1.
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The U.S. openly discussing on orbit space control capabilities reflects a larger shift in how we think about space. Satellites can no longer be designed around the assumption that they will operate in a predictable environment for their entire mission. Resilience increasingly means mobility. That’s the problem we’re working on at Orbital Operations.Astraeus is being developed for high mobility, persistent operations and rapid response in orbit, enabled by high thrust cryogenic propulsion and long duration propellant storage. The future of space defense won’t just depend on what we put in orbit. It will depend on how freely we can maneuver once we’re there. airandspaceforces.com/meink-…
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Set up a tripod with a camera and run away. It finds the sun and calibrates itself. On High Bit, @Picogrid's @zanemountcastle explains how the team is building systems that can calibrate and connect quickly in GPS-denied environments. Full episode with @brettdg : piped.video/xqAQbYzcTZs?si=dLmj…
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We're thrilled to lead the $10M seed round for @robocurve, a Public Benefit Corporation independently evaluating and benchmarking how frontier AI models perform in the physical world. Frontier models are becoming increasingly capable of controlling robots, and understanding what these systems can actually do is becoming more important. Founder and CEO @chooi_jeq is not new to this. He was previously a Research Fellow at MATS, a researcher at the UK AI Security Institute, and a top contributor to Inspect Evals, the UK government's AI eval framework. Robocurve provides independent evidence of robotic capabilities and how quickly those capabilities are changing, helping the public understand the pace of AI progress in the physical world. In just three months, Robocurve's research has been viewed 6M+ times, its open-source evaluation harness has been downloaded 97k+ times, and researchers from 200+ institutions have signed up to build robotics benchmarks with the team.
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