Content Graph
Content Graph provides a verification and adjudication layer for pre-clinical drug development, testing whether scientific evidence supports progression decisions. The platform integrates findings across scientific domains into explainable, deterministic, and auditable verdicts, anchoring AI reasoning in domain-specific evidence. It supports regulatory compliance with standards like the EU AI Act and 21 CFR Part 11.
- Drug Discovery & Therapeutics
- Artificial Intelligence
- Biotechnology
- Software Only
- Data & Analytics
- Regulatory & Compliance Technology
- AI Agents
- Enterprise Software
Funding
Founders
Founder details are not available yet.
Product
Problem
Large language models produce plausible but unverifiable outputs, and while retrieval-augmented generation adds context, it cannot guarantee accuracy. Organizations moving from generative experiments to autonomous agents face a critical trust gap, particularly in regulated industries where inaccurate or unverifiable AI outputs can have serious consequences and fail to meet evolving regulatory requirements.
Solution
Content Graph provides Data Integrity Protection™, a mission-critical verification layer that anchors AI reasoning in domain-specific, authoritative evidence. The platform transforms stochastic, unverified outputs into defensible, verified data that regulatory specialists and scientists can trust. Operating via API, MCP, or WebGUI, it enables deterministic accuracy and full provenance and traceability, making data audit-ready and regulator friendly. The solution helps pharmaceutical companies and other enterprises meet rigorous standards like the EU AI Act and 21 CFR Part 11 while deploying high-stakes AI with confidence. For pre-clinical drug development, Content Graph serves as the verification and adjudication layer that tests whether scientific evidence supports progression decisions, integrating findings across scientific domains into explainable, deterministic and auditable verdicts.
Target Audience
Primary customers are pharmaceutical companies and other enterprises in regulated industries, particularly those involved in pre-clinical drug development where data integrity, scientific evidence evaluation, and regulatory compliance are paramount.
Features
- Domain-specific verification pipelines that anchor AI reasoning in authoritative evidence sources
- Deterministic accuracy layer that converts probabilistic LLM outputs into verified, defensible data
- Integration of findings across scientific domains for pre-clinical drug development progression decisions
- Explainable, auditable verdicts on whether scientific evidence supports progression
- Full provenance and traceability tracking for audit-ready documentation and regulatory compliance
- Deployment flexibility through API, MCP, or WebGUI interfaces for seamless integration into existing workflows
- Compliance support for EU AI Act (section 15) and 21 CFR Part 11 requirements
- Enterprise-grade infrastructure designed for complex, regulated data environments