Protege is an AI data platform that aggregates and curates proprietary real‑world datasets across industries such as healthcare, media, audio, and motion capture, delivering them as AI‑ready, rights‑protected packages for pre‑training, fine‑tuning, and benchmark evaluation. The platform handles de‑identification, quality validation, licensing compliance, and offers custom data‑lab services, while providing a revenue‑share model that lets data owners securely monetize their assets.
Funding
$25M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
4OFounders
Product
Problem
AI developers often struggle to obtain high-quality, proprietary real-world data that is properly curated, de‑identified, and licensed for use in training, fine‑tuning, and evaluating models. Data owners lack a trusted mechanism to share their assets securely while receiving compensation, leading to fragmented data silos and bottlenecks in AI development.
Solution
Protege operates an AI data platform that aggregates proprietary datasets from hundreds of partners across domains such as healthcare, media, audio, and motion capture. The platform curates and enriches raw data into AI‑ready, rights‑protected packages, handling de‑identification, quality checks, and licensing compliance. Model builders can browse, license, and securely download these datasets for pre‑training, supervised fine‑tuning, or benchmark evaluation. Protege also offers expert data‑lab services to tailor datasets to specific use cases and to create contamination‑free evaluation and benchmark suites, especially for multimodal healthcare scenarios. Data providers receive revenue share payouts for each dataset usage, creating a sustainable exchange that unlocks otherwise inaccessible data while preserving privacy and ownership.
Target Audience
Primary customers are AI model builders—including vertical AI companies, large foundation model teams, and in‑house AI groups—who need curated real‑world data, as well as data owners across industries seeking to monetize their proprietary datasets.
Features
- Centralized catalog of diverse, proprietary datasets (e.g., billions of clinical notes, hundreds of millions of medical images, 300k+ hours of video, 500k+ hours of audio)
- Automated data curation pipeline that performs de‑identification, quality validation, and domain‑specific enrichment
- Secure, rights‑managed data delivery with licensing agreements and privacy protections
- Expert Data Lab services for custom dataset creation, multimodal benchmark design, and evaluation data that is uncontaminated by training sets
- API and SDK integrations enabling AI teams to programmatically request and ingest datasets into training pipelines
- Revenue‑share model that compensates data owners per dataset usage, incentivizing continued data contributions