Protégé provides AI-ready real-world data and expertise for use across the AI development lifecycle.
Protégé is an AI Data Platform that connects AI model builders with proprietary, real-world datasets across healthcare, video, audio, speech, and spatial/physical intelligence domains, with enterprise pricing tailored to engagement scope. It serves frontier AI labs, healthcare AI startups, and enterprise model builders who need high-quality, non-public training data with clear provenance and rights protections.
Founded as Protege Health, Inc. and headquartered in New York City, the platform raised a $25 million Series A in February 2026 followed by a $30 million Series A extension led by Andreessen Horowitz (a16z), bringing total Series A funding to $55 million. Protégé operates as a two-sided marketplace: AI model builders gain streamlined access to curated datasets for pre-training, post-training, fine-tuning, and evaluation, while data providers (hospitals, media companies, motion capture studios, audio archives) monetize existing data assets while maintaining ownership rights and provenance tracking. The platform recently launched dedicated Healthcare AI Evaluation Datasets and Benchmarks, and powers Vals AI's clinical documentation and medical billing benchmarks.
Based on our analysis of 870+ AI tools, Protégé occupies a distinct niche compared to general-purpose data labeling platforms like Scale AI or Labelbox—it focuses on sourcing genuinely proprietary, non-public real-world data rather than annotating publicly available content. Customer testimonials position the company as a hands-on data partner; Mahesh Ranganath of Siemens Healthineers describes Protégé as "an internal partner...helping us dig into exactly what data we need for the specific problem we're trying to solve, rather than simply being a data catalog." This consultative approach distinguishes it from self-serve data marketplaces and makes it particularly suited to teams building domain-specialized models where data scarcity is the critical bottleneck.
Was this helpful?
Protégé organizes its offering around four distinct stages of model development: pre-training (massive, diverse real-world datasets), post-training (narrower datasets for supervised training and human feedback), fine-tuning (curated domain-specific datasets), and evaluation (uncontaminated benchmark data). This staged approach lets teams source data appropriate to their current development phase rather than forcing a one-size-fits-all dataset purchase.
Launched in early 2026, Protégé's healthcare evaluation product provides benchmark-specific real-world data that does not overlap with common training corpora and reflects the full multimodal patient journey. The same data infrastructure powers Vals AI's healthcare benchmarks for clinical documentation (turning encounters into usable clinical notes) and medical coding (translating care into billable codes), giving the offering external validation.
Beyond serving model builders, Protégé operates a 'For Data Providers' program that lets hospitals, studios, and enterprises monetize existing data assets. The platform emphasizes maintaining clear rights protections and provenance throughout each exchange, which is critical for regulated verticals like healthcare and for content owners concerned about downstream redistribution.
Rather than positioning as a general data vendor, Protégé organizes its catalog around five distinct domains: healthcare, video, audio & speech, spatial & physical intelligence, and other domains. Each domain has dedicated landing pages and presumably specialized expertise, allowing teams to engage with subject-matter experts rather than generalists when sourcing data.
Protégé positions itself as an 'internal partner' rather than a self-serve data catalog, with named customers like Siemens Healthineers describing the team as helping dig into exactly what data is needed for specific problems. This high-touch model contrasts with marketplace-style data vendors and makes Protégé particularly useful when the right dataset doesn't yet exist off the shelf and must be assembled from provider relationships.
Contact Sales
Ready to get started with Protégé?
View Pricing Options →We believe in transparent reviews. Here's what Protégé doesn't handle well:
Weekly insights on the latest AI tools, features, and trends delivered to your inbox.
In January 2026, Protégé launched its Evaluation Datasets and Benchmarks product line for Healthcare AI, providing benchmark-specific real-world data designed not to overlap with training data. In February 2026, the company closed a $25 million Series A to expand its training data platform, followed shortly by a $30 million Series A extension led by Andreessen Horowitz (a16z). Protégé-prepared data also began powering new Vals AI healthcare benchmarks for clinical documentation and medical billing in late 2025.
No reviews yet. Be the first to share your experience!
Get started with Protégé and see if it's the right fit for your needs.
Get Started →Take our 60-second quiz to get personalized tool recommendations
Find Your Perfect AI Stack →Explore 20 ready-to-deploy AI agent templates for sales, support, dev, research, and operations.
Browse Agent Templates →