HumanAudit
HumanAudit is an AI compliance documentation platform that helps organizations prepare audit-ready documentation for AI governance frameworks in as little as five business days. The service produces customized compliance artifacts aligned with ISO/IEC 42001, the EU AI Act, NIST AI RMF, Microsoft SSPA, and related governance requirements. Through a structured intake process, HumanAudit generates documents such as Statements of Applicability, Fundamental Rights Impact Assessments, AI system inventories, risk registers, technical documentation, and post-market monitoring plans. The platform is designed to reduce the manual effort traditionally required for AI compliance by automating the creation of standardized documentation while leaving legal review and final approval to the customer's counsel. HumanAudit also provides cross-framework mapping so organizations can reuse a single evidence base across multiple customer questionnaires and regulatory frameworks.
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Labrynth AI
Labrynth is an AI-based regulatory intelligence platform for organizations working in complex, highly regulated environments.
Regulated teams often work across scattered rules, agency guidance, technical standards, internal policies, prior submissions, evidence files, and review history. Generic AI tools can generate answers, but they usually lack source traceability, auditability, and workflow context. Labrynth is designed to fill that execution gap.
The platform maps obligations, validates documents and evidence, identifies gaps, and helps teams prepare cited, reviewable, audit-ready outputs. Every recommendation is tied back to source documents, requirements, review history, and supporting evidence, helping experts move faster without losing control.
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Flex Databases
Document management and ensures regulatory compliance in clinical trials. By integrating AI and a unique "co-pilot" feature, our platform boosts efficiency while maintaining human oversight. Automated Filing with AI The AI assistant automates document classification and metadata assignment, reducing manual effort. Co-Pilot for Human Control The "co-pilot" feature allows users to set confidence levels for AI classification. Documents below the threshold are flagged for review, and users can adjust classifications, helping the AI improve. Key Benefits: Efficiency: AI automates tasks, allowing more focus on critical activities. Accuracy: AI and co-pilot oversight ensure data integrity and compliance. User-Friendly: An intuitive interface simplifies document management. Continuous Learning: AI improves accuracy with ongoing user feedback.
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Peta
Peta is an enterprise-grade control plane for the Model Context Protocol (MCP) that centralizes, secures, governs, and monitors how AI clients and agents access external tools, data, and APIs. It combines a zero-trust MCP gateway, secure vault, managed runtime, policy engine, human-in-the-loop approvals, and full audit logging into a single platform so organizations can enforce fine-grained access control, hide raw credentials, and track every tool call made by AI systems. Peta Core acts as a secure vault and gateway that encrypts credentials, issues short-lived service tokens, validates identity and policies on each request, orchestrates MCP server lifecycle with lazy loading and auto-recovery, and injects credentials at runtime without exposing them to agents. The Peta Console lets teams define who or which agents can access specific MCP tools in specific environments, set approval requirements, manage tokens, and analyze usage and costs.
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