Problem

Protege addresses the biggest bottleneck in AI development: access to high-quality, real-world training data. AI builders need specialized, private, and proprietary datasets to train, fine-tune, and evaluate more capable models, but data supply is fragmented and difficult to access responsibly. Data holders, meanwhile, often lack the expertise and infrastructure to commercialize their assets and face real concerns around governance, intellectual property, security, and fair compensation. The economic consequence is slower model development for buyers and under-monetized data for holders.

The clearest use case is helping AI teams source rights-protected, domain-specific data for demanding applications such as healthcare. Protege highlights de-identified health records and medical imaging alongside media, audio, and other real-world formats, giving model developers access to data that would otherwise be difficult to discover, license, and operationalize.

Product / Service

Protege is a two-sided AI data platform that connects data holders with vetted data users. It acts as connective tissue across fragmented data sources, curating and packaging private and proprietary information into AI-ready datasets while providing expertise on data rights, licensing, and model-development requirements. Its offering supports the full lifecycle, including pre-training, post-training, fine-tuning, evaluation, and benchmarking.

For model builders, the benefit is faster access to tailored datasets and domain expertise rather than merely a static data catalog. For data providers, Protege offers a way to monetize existing assets through secure, rights-protected transactions while helping address legal, technical, and governance requirements. The model is intended to expand the supply of usable real-world data without sacrificing data-holder protections or compensation.

Market

Protege competes in the AI training-data and data-infrastructure market, specifically the emerging category of rights-protected marketplaces and networks for proprietary, real-world data. The company’s materials do not identify specific direct competitors, so the most defensible comparison is to broader data marketplaces, data brokers, and specialist providers of training, evaluation, and human-feedback data. Protege differentiates itself by combining data access with curation, licensing expertise, and vertical specialization.

Protege is clearly beyond the pre-revenue stage in commercial activity. It reported 20x business growth in 2025, partnerships with leading foundation-model and AI companies, and tens of millions of dollars in revenue generated for its data partners. It raised a $25 million Series A in August 2025 and a further $30 million round led by Andreessen Horowitz in January 2026, bringing total funding to $65 million. The disclosed revenue figure refers to partner revenue rather than Protege’s own revenue, but the partnerships, growth, funding, and expanding healthcare, media, audio/speech, and motion-capture businesses indicate substantial early traction.