✓ Capability
Evaluation, Guardrails & AI Security
Know it works before users tell you it doesn’t.
Evaluation is the backbone of every system we build. We create golden datasets, automated and LLM-as-judge evals, regression tests in CI, red-teaming for prompt injection and data leakage, and runtime guardrails.
Typical use cases
Challenge. Every prompt or model change is a gamble.
What we build. A versioned test set and automated scoring in CI, so changes are merged on evidence.
Challenge. An agent with tool access is about to go live.
What we build. Structured adversarial testing for prompt injection, data exfiltration and unsafe actions, with fixes and retests.
Challenge. Outputs occasionally include PII, off-topic answers or policy violations.
What we build. Input/output filters, topic controls and moderation tuned to your policy with measured false-positive rates.
Examples
Use cases with Evals & Guardrails.
Next step
Let's talk about your AI system.
A free 30-minute call with an Engagement Lead or AI Architect. You'll leave with a clearer view of options, risks and cost, whether or not we work together. Your case doesn't need to fit any box on this site; just tell us what you're facing.
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