Evaluation, guardrails and safety
Prove your AI is accurate and safe before it reaches users, and keep it that way.
Before an AI system goes in front of customers or staff, it needs to be tested like software. We build evaluation suites that measure accuracy, groundedness and regressions, and guardrails that block prompt injection, data leakage, toxic output and off-policy responses. We also red-team for jailbreaks and PII exposure, so you can deploy generative AI with evidence it behaves, not just hope.
Included in this service
Evaluation suites
Automated test sets that score accuracy, groundedness and quality, and catch regressions before release.
Input and output guardrails
Filters that block prompt injection, unsafe content, PII leakage and off-topic or off-policy responses.
Red-teaming
Adversarial testing for jailbreaks, data exfiltration and harmful output before attackers find them.
Monitoring and governance
Production logging, abuse detection and an audit trail aligned to responsible-AI and compliance needs.
A clear path from problem to outcome
The same disciplined cycle every time, so you always know what is happening next.
Frame and qualify
We pin down the business outcome, the data you already hold and the constraints (latency, budget, privacy, residency). We agree success metrics up front, an offline accuracy or quality target plus a business KPI, so we build something measurable, not a demo.
Prototype on your data
We build a working proof of concept against a representative slice of your real data, not a public dataset. You see honest numbers early: retrieval quality, model accuracy, cost per request and failure cases, so the go or no-go decision is evidence based.
Engineer for production
We harden the prototype into a reliable system: data and feature pipelines, evaluation suites, access controls, observability and CI/CD. We integrate with your stack and put guardrails and human review where the cost of an error is real.
Deploy, monitor and improve
We ship to production, instrument it and watch for drift, regressions and cost creep. You get clear documentation, a retraining or re-indexing routine and an evaluation baseline so quality holds up and you can improve it over time.
More AI & Machine Learning capabilities
RAG assistants on your data
AI assistants that answer from your own documents, with citations you can verify.
AI agents and agentic workflows
Agents that take real actions across your tools, with approvals and an audit trail.
Custom ML models
Models built for your data and your problem, evaluated honestly before they ship.
Build it right.
Secure it for good.
Tell us what you're building or securing. We'll bring the engineers, the security team and the trainers, plus a clear, costed plan to get you there.
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