
Protege is an AI training data platform that connects AI developers with data holders. For AI developers, Protege offers a vast collection of high-quality training data across numerous modalities and verticals, with a quick and easy process for data procurement, reducing the time by 90% or more. The data is thoughtfully sourced and ethically managed. For data holders, Protege provides access to AI developers ranging from startups to large tech companies, ensuring governance control over privacy and IP, and offering a pain-free platform to share data. Protege's platform allows for seamless and quick data exchange, with expertise in determining data value and ensuring fair compensation. They have a network of AI tech companies using their platform and emphasize data source centricity with expert support.

Protege is an AI training data platform that connects AI developers with data holders. For AI developers, Protege offers a vast collection of high-quality training data across numerous modalities and verticals, with a quick and easy process for data procurement, reducing the time by 90% or more. The data is thoughtfully sourced and ethically managed. For data holders, Protege provides access to AI developers ranging from startups to large tech companies, ensuring governance control over privacy and IP, and offering a pain-free platform to share data. Protege's platform allows for seamless and quick data exchange, with expertise in determining data value and ensuring fair compensation. They have a network of AI tech companies using their platform and emphasize data source centricity with expert support.
What they do: AI training-data platform that connects AI developers with data holders and curates rights-protected multimodal datasets
Founded: 2024
Headquarters / Focus: New York City; initial vertical focus includes healthcare and media
Recent funding: Multiple rounds including $10M seed (Sep 2024) and a $25M Series A (Aug 2025); a later $30M Series A extension announced Jan 2026
Data infrastructure for AI training — sourcing, curating, and transacting high-quality, rights-cleared training data across verticals (notably healthcare and media).
2024
Data Infrastructure and Analytics
10000000
Participants included SV Angel, Liquid 2 Ventures, Bloomberg Beta, Flex Capital, Adam D'Angelo and others
25000000
30000000
Described as an extension expanding the prior Series A
“Includes participation from CRV, Footwork, Andreessen Horowitz (a16z), Bloomberg Beta, Flex Capital, SV Angel, Liquid 2 Ventures, Adam D'Angelo, Shaper Capital, Travis May, and others”
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Company Overview:
We are building Protege to solve the biggest unmet need in AI — getting access to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The Protege platform facilitates the secure, efficient, and privacy-centric exchange of AI training data.
Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech.
We’re a lean, fast-moving, high-trust team of builders who are obsessed with velocity and impact. Our culture is built for people who thrive on ambiguity, own outcomes, and want to shape the future of data and AI.
The Events Marketing Manager owns Protege's events strategy and growth marketing foundation, ensuring our team shows up at the right conferences, with the right people, at the right time. This role transforms our event opportunities into a disciplined, revenue-driving playbook that connects buyers and partners with Protege across our different verticals and AI communities.
The role requires a blend of operational excellence in event execution, marketing operations fundamentals, and startup growth mindset to test & build scalable systems from scratch. You'll be the connective tissue between commercial teams, partnerships, the Protege Data Lab, and Marketing—ensuring every touchpoint drives meaningful pipeline and brand visibility.
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