AI evaluation for Research institutes

Turn AI experiments into reproducible evidence

Create versioned test datasets, define domain-specific metrics, compare models and system configurations, and monitor how experimental results hold up in real-world use.

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All the tools you need to run every experiment against consistent standard

Synthetic Datasets

Thousands of test cases and simulated conversations generated from our Simulation Engine or your own product specs and files.

Custom metrics

Define your own scorers, thresholds, and quality criteria, or just let the Galtea Simulation Engine build them automatically from your product specs.

Traces

Plug into the logs and traces you already collect, with no second instrumentation effort.

Versions

Re-run the same test suite automatically on every prompt, model, or pipeline change, so regressions get caught before they ship.

Human reviews

Send the hard or flagged cases to expert reviewers, and use their verdicts to sharpen how quality gets scored over time.

GitHub Actions

Run evaluations automatically on every pull request, so a quality or safety regression is blocked before it reaches production.

Monitors

Monitor your production traffic automatically, automatically surface patterns in production, and what's driving them, before your users feel it.

Keep research data, models, and results under your control

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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Frequently asked questions

How can research teams use Galtea?

Research teams can systematically test models, prompts, retrieval systems, and agent workflows against defined criteria.

Can we compare experiments across models or versions?

Yes. Run repeatable evaluations and compare results across models, configurations, prompts, and datasets.

Can we use synthetic data?

Yes. Generate test cases and simulated interactions alongside your own research datasets.

Can we reproduce evaluation results?

Galtea helps structure test cases, metrics, and results so teams can run and compare evaluations consistently.

Turn AI experiments into reproducible evidence

All the tools you need to run every experiment against consistent standard

Evaluate and monitor every AI system your research produces

Keep research data, models, and results under your control

Frequently asked questions

Learn how teams in research institutes evaluate AI with Galtea