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There are three fundamental bottlenecks to AI progress: models, chips, and data. We have model builders and chip producers, but data is the bottleneck to AI progress. Protege is the trusted data infrastructure layer that’s here to solve that. Curated, licensed, privacy-protected data, ready for AI. 2025 was a... banner year: we facilitated tens of millions of dollars in transactions for AI companies worldwide, including the majority of the Magnificent Seven. We unlocked tens of millions in revenue for data and content rights-holders worldwide. But we’re just getting started. 2026 and beyond will require the full breadth and depth of the data that’s naturally generated by people living their normal lives — from healthcare to video to audio to motion capture, and much, much more. Come build with us! We’re hiring for roles across the team. Daisy Wolf Eva Steinman a16z Nikhil Basu Trivedi Footwork saar gur CRV Bloomberg Beta Flex Capital SV Angelshow more

Protege

1,003 subscribers

29,873 views • 7 months ago •via X (Twitter)

Anya Rossi• Live Now

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8 Comments

Protege7 months ago

More from @BobbySamuels, @daisydwolf, @evajsteinman on @a16z's Raising Health Podcast, now live!

Protege7 months ago

And @daisydwolf + @evajsteinman's investment thesis in us from last month!

Engy Ziedan7 months ago

@daisydwolf And come join our data lab!

Auren Hoffman7 months ago

@daisydwolf go go go!

Tom Hollands7 months ago

@daisydwolf amazing company + mission. so glad to work with you 🦾

Yiwei7 months ago

@a16z @daisydwolf energy is the silent fourth. compute is a derivative of power capacity and we're already hitting the grid limits in some regions

Spencer Ingram6 months ago

@daisydwolf Wait, so you can actually let AI know who has the world's best cup of coffee?

Ai Pulse7 months ago

@daisydwolf This. The paradox: we have infinite synthetic data but zero signal. Curated, licensed real-world data is worth 10x raw internet scraping. The winners in 2026 will be the ones with distribution + quality data moats, not just raw capacity.

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1/ The data parsing market for robotics is just emerging, and it’s already valued in the tens of billions. Data parsing to build data models and software for Robotics is a $20B market in 2024 and is expected to reach $150B+ by 2034 Cherry AI Robotics has built a data parsing tool for robotics, which goes live next week, and will effectively make this project one of the pioneers in data parsing for robotics.

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Brandon Ong

166,735 views • 1 month ago

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Sky Wee

58,239 views • 11 months ago