AI Safety
Guardrails for Production AI Systems
Evaluation frameworks, red-teaming, and safety protocols for AI that runs in real operations.
Deploying LLMs into industrial operations without safety protocols is a liability. We build the guardrails — output validation, escalation logic, red-teaming protocols, and monitoring dashboards — that make your AI deployments defensible to management, auditors, and customers.
Factory-floor-ready. Deployed in weeks. IP fully yours.
Output Validation
Automated checking of AI agent outputs against business rules before they touch your systems.
Red-Teaming
We attempt to break your AI system before your operations do — adversarial testing for edge cases and failure modes.
Safety Dashboards
Real-time monitoring of AI agent behaviour, error rates, and anomalous outputs with configurable alert thresholds.
Use Cases
Where we deploy this.
AI agent output validation
Hallucination detection in LLM pipelines
Automated compliance checking
Model behaviour monitoring
Adversarial testing programs
AI audit trail generation