AI/ML Testing
From notebooks to production.
Model validation, drift detection and AI safety testing for production ML systems.
What you get with AI/ML Testing.
- Model validation
- Drift detection
- Data lineage
- MLOps integration
How an engagement runs.
Predictable cadence. Real engineers. No black boxes.
We map your stack, risk surface and business objectives to design a next-gen testing plan that fits.
Test plans, threat models, environments and tooling are stood up with your team in the loop.
Engineers run cycles in sprints daily updates, shared dashboards, zero black boxes.
Actionable findings, severity-ranked, with remediation guidance and re-test included.
Common questions.
How quickly can you start?+
Most engagements kick off within 5–7 business days after scoping.
Do you sign NDAs?+
Yes. We sign mutual NDAs and MSAs before any access to systems or data.
Can you work with our existing CI/CD?+
Absolutely. We plug into GitHub Actions, GitLab CI, Jenkins, CircleCI, Bitbucket Pipelines and Azure DevOps.
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Ready to talk ai/ml testing?
A 20-minute scoping call is the fastest way to a real number.