data-curation
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The Startup Teaching Cameras to Catch What Tired Human Eyes Miss on the Assembly Line
Akridata spent years fixing AI's boring, expensive data problem - then pointed the same tools at factory defects and got acquired by DIMAAG in 2026.
Mahesh Sathiamoorthy Is Building the Practice Worlds AI Agents Need
After a decade improving the systems behind YouTube recommendations, Mahesh Sathiamoorthy left Google DeepMind to work on a new bottleneck: the data, tests and realistic environments that teach AI agents how to finish the job.
Bespoke Labs
Bespoke Labs is a Mountain View AI research lab that builds tools and datasets for training more reliable AI models and agents, starting with synthetic data curation and hallucination detection and expanding into realistic reinforcement-learning environments for long-horizon agentic AI. Its open-source projects, including Bespoke Curator, Bespoke-MiniCheck, OpenThoughts, Terminal-Bench, and GEPA, are widely used across the AI research community, and the company raised $40M in seed and Series A funding by mid-2026 from investors including Wing Venture Capital, 8VC, and Mayfield.
Superb AI
Superb AI is a computer vision AI company that builds an end-to-end MLOps and DataOps platform, letting teams label, curate, train, and deploy vision models on images, video, and 3D LiDAR data. Founded in 2018 and a Y Combinator alum, it uses AI-assisted automation to shrink the slow, manual work of preparing training data, and serves enterprise customers across autonomous driving, manufacturing, security, and public sector from offices in San Mateo and Seoul.
Century Health
Century Health is a New York-based health technology company that turns fragmented, messy electronic health record data into clean, structured, analysis-ready real-world evidence. Its AI-powered platform, CHARM (Century Health Abstraction & Retrieval Model), automates the curation, abstraction, and de-identification of clinical data to build disease-specific patient registries for pharmaceutical and life sciences research. Founded in 2023 by Vish Srivastava and Sanjay Hariharan, the company reports 97% accuracy against clinical expert judgment and raised a $5M seed round in 2026 led by Origin Ventures.
Roboto AI
Roboto AI is a Seattle-based analytics platform for robotics and Physical AI teams. It ingests multimodal robot logs - ROS bags, PX4/ULog, MCAP, Parquet, video - and uses AI agents plus a Python SDK and CLI to automatically search, analyze, and surface edge cases, anomalies, and failures across entire robot fleets. Founded in 2022 by former Amazon Robotics leaders Benji Barash and Yves Albers-Schoenberg, the company spun out of the Allen Institute for AI and raised a $4.8M seed to help robotics developers stop digging through petabytes of sensor data by hand.
Elucidata
Elucidata is a TechBio company building Polly, a data-centric ML-Ops platform that harmonizes messy biomedical data into AI-ready datasets for pharma R&D. Founded in 2015 by Abhishek Jha and Swetabh Pathak, the company powers drug discovery work at Pfizer, Genentech, Janssen and dozens of biotechs from offices in San Francisco, Boston and Delhi.
DatologyAI
DatologyAI builds an automated data curation platform that helps companies train better AI models faster, smaller, and cheaper. Founded in 2023 by former Meta AI, DeepMind and MosaicML researchers, the Redwood City startup has raised $57.6M to industrialize the messy art of preparing petabyte-scale training data.
Ari Morcos
Ari Morcos is the Co-Founder and CEO of DatologyAI, a Redwood City-based startup that automates the curation of training data for AI models. A Harvard-trained neuroscientist who spent two years at DeepMind and five at Meta AI Research (FAIR), Morcos pivoted from studying how biological brains learn to solving how artificial ones should eat - coining the phrase 'models are what they eat.' His company has raised $57.65M across seed and Series A rounds backed by Felicis Ventures, Radical Ventures, and angel investors including Geoffrey Hinton, Yann LeCun, and Jeff Dean. With an h-index of 35 and over 12,000 citations, Morcos bridges rigorous ML research and venture-scale ambition, targeting the data layer as AI's most underinvested frontier.