Safe Intelligence
Verification and robustness testing for ML models and AI agents
About Safe Intelligence
Safe Intelligence provides tools to validate, harden and monitor machine learning models and AI agent systems, using formal verification to analyze how models behave across input regions. Its products cover model validation, robustification and ongoing monitoring.
Common use cases
- Validating models before release
- Safety-critical AI assurance
- Monitoring agents
- Regulated model testing
Products and services
Validate
Performance and robustness analysis with formal verification of input regions.
Robustify
Checks performance under domain shift and aims to reduce unexpected behavior.
Monitor
Continuous monitoring and alerts for ML and agent systems.
Spec27
Separate product for agent validation, monitoring and repair.
Key features
- Formal verification
- Robustness testing
- Model hardening
- Continuous monitoring
- Agent validation
- Domain shift checks
Safe Intelligence alternatives
FAQs
What models does it cover?
Deep neural networks, decision trees, random forests and AI agent systems.
What is Spec27?
A separate product for validating, monitoring and repairing agents.
Who is it for?
Teams that need assurance on ML model behavior.
Safe Intelligence on AI Connect
Sessions at our 2026 events
Sessions and webinars to watch
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