Verilance.ai
Verilance.ai provides a living compliance layer for organizations deploying autonomous AI agents, continuously validating their operations against evolving regulations like the EU AI Act and NIST AI RMF. The platform uses a regulatory reasoning engine to encode requirements as machine-readable constraints, delivering a defensible compliance score from 0 to 100 and audit-ready evidence for each agent action.
- Regulatory & Compliance Technology
- Artificial Intelligence
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Organizations deploying autonomous AI agents face a widening gap between operational reality and regulatory readiness. Most have no clear picture of their compliance posture, relying on assumptions, incomplete audits, or generic checklists that miss the detail that AI regulations demand.
Solution
Verilance provides a living compliance layer that continuously validates AI agent compliance against the full scope of applicable regulations. The platform performs structured compliance assessments that produce a single, defensible compliance score grounded in granular analysis of AI systems. Its regulatory reasoning engine encodes regulatory requirements as structured knowledge and derives machine-readable compliance constraints for each agent, system, and jurisdiction. The platform continuously scans for external regulatory changes, classifies AI systems by risk tier, maps gaps to specific regulatory articles, and monitors remediation progress over time. Verilance offers real-time control rather than static inventories and questionnaires, enabling ongoing compliance maintenance as regulations evolve.
Target Audience
Primary customers are regulated enterprises deploying autonomous AI agents, particularly financial services firms, SaaS and AI vendors selling into regulated buyers, pharma/biotech/medical device companies, and consultancies or legal firms needing defensible compliance evidence for clients.
Features
- Centralized compliance score from zero to 100 that provides a defensible measure of regulatory readiness
- Continuous horizon scanning that tracks external regulatory changes across relevant jurisdictions
- Regulatory reasoning engine that encodes requirements as structured knowledge and derives machine-readable compliance constraints
- Risk-tier classification of AI systems based on regulatory obligations
- Gap analysis mapped to specific regulatory articles for actionable remediation planning
- Ongoing monitoring of solutions to maintain and demonstrate compliance over time
- Runtime agent monitoring that assesses every agent action against relevant constraints, with deviations flagged and full audit trails back to specific articles
- API-first integration with ServiceNow, IBM, OneTrust, Archer, and other GRC tools, or a native AI asset register