AI evaluations for regulated industries
Keep your AI product reliable and secure, at scale
Generate thousands of test cases, no dataset needed
Turn requirements, policies, and domain knowledge into test cases, evaluation criteria, and realistic datasets.
Generate your scenarios
Stress-test AI with realistic users, multi-turn journeys, edge cases, and adversarial behavior before release.
Run a simulation
Track quality, safety, compliance, cost, and performance across versions and live interactions.
Monitor your AI
Identify exactly what's failing, trace it back to the source, fix it, and re-run the evaluation loop. Every iteration makes your product more reliable.
Optimize performance
Avoid costs from spiraling, with continuous, measureable and traceable evaluations
71%
Reduction in operational costs for AI validation processes.
10x ROI
Combining direct savings and regulatory risk mitigation.
+70%
Increase in team efficiency by reducing manual testing tasks.
x23.6
Vulnerability detection compared to manual process.
Built for the security and compliance of regulated sectors
ISO 27001 certified
Independently audited security controls across the full platform.
GDPR compliant
Data processing agreements, retention controls, and right-to-erasure built in.
Self-hosting & Private tenant
Deploy in your own cloud or VPC. Your data never leaves your infrastructure.
Premium support
A implementation plan tailored to your stack with a dedicated engineer team.
SSO & MFA
Single sign-on via your existing identity provider, with multi-factor authentication.
Service Level Agreement
Guaranteed response times with escalation paths for production incidents.
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Loved by developers, QA engineers, and product managers
API connection
Connect via REST API. Full control over test runs, results, and reporting.
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Platform Wizard New
No code needed. Use Val to configure and run evaluations.
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Everything you need to scale your AI product
Synthetic Datasets
Thousands of test cases and simulated conversations generated from our Simulation Engine or your own product specs and files.
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Custom metrics
Define your own scorers, thresholds, and quality criteria, or just let the Galtea Simulation Engine build them automatically from your product specs.
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Traces
Plug into the logs and traces you already collect, with no second instrumentation effort.
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Versions
Re-run the same test suite automatically on every prompt, model, or pipeline change, so regressions get caught before they ship.
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Human reviews
Send the hard or flagged cases to expert reviewers, and use their verdicts to sharpen how quality gets scored over time.
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GitHub Actions
Run evaluations automatically on every pull request, so a quality or safety regression is blocked before it reaches production.
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Monitors
Monitor your production traffic automatically, automatically surface patterns in production, and what's driving them, before your users feel it.
Read more →One platform, working with any stack
Any AI architecture
Evaluate conversational agents, RAG pipelines, voice agents, and document processing systems. No matter how complex the architecture.
Model agnostic
Compare performance across different models with the same test suite, so you always know which model works best.
CI/CD ready
Plug evaluations into your pipeline with GitHub Actions, GitLab CI, or any CI system. Catch regressions before they reach production.
Learn how teams in regulated industries scale their AI products with Galtea
Book a consultation with us
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