General Cognition
Private Data For Frontier AI curates and anonymizes proprietary enterprise data—including codebases, financial documents, operational artifacts, and domain‑specific records—that is not publicly available. The service supplies AI research labs with real‑world training datasets such as board resolutions, project plans, internal memos, and legacy code in languages like COBOL and Fortran, enabling more accurate and applicable AI models. Access is provided through a request‑based portal for vetted customers.
- Artificial Intelligence
- Data & Analytics
Funding
Founders
Product
Problem
AI research labs often lack access to authentic, private enterprise data such as internal codebases, financial documents, and operational artifacts, which are essential for training models that perform well on real‑world business tasks. Publicly available datasets do not capture the complexity, domain specificity, or historical context needed for high‑fidelity model development.
Solution
Private Data For Frontier AI aggregates and anonymizes proprietary enterprise datasets—including legacy code with full commit histories, confidential financial records, governance documents, and domain‑specific operational artifacts—to supply AI labs with realistic training material. The data are sourced from a wide range of industries (e.g., healthcare, finance, energy, manufacturing) and cover niche programming languages and regulatory filings that are absent from public repositories. Each collection is stripped of personally identifiable information and proprietary identifiers while preserving structural and contextual details required for model learning. Clients can request access to curated datasets via a secure portal, enabling them to fine‑tune frontier models on authentic enterprise scenarios without exposing sensitive source data.
Target Audience
Primary customers are AI research laboratories and model‑training teams that require high‑quality, real‑world enterprise data to develop and evaluate frontier AI systems for business applications.
Features
- Anonymized enterprise documents (board resolutions, cap tables, audit reports, SOPs, strategy decks) across multiple industries
- Legacy code repositories in rare languages (COBOL, Fortran, Ada, RPG, PL/SQL, VHDL) with complete commit histories and associated tickets
- Domain‑specific datasets such as healthcare records, legal filings, insurance claims, and regulatory submissions
- Secure request‑and‑access workflow with encrypted data delivery and usage monitoring
- Structured metadata and versioning to support reproducible training pipelines