AI Evaluations

Evaluate high-stakes AI systems with rigor and evidence

Turn product requirements into repeatable tests. Generate representative datasets, combine automated metrics with expert review, and compare every model, prompt, and system version before release.

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All the tools you need to go from product requirements to release evidence

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.

Evaluate sensitive AI systems without losing control of the data

Certificación ISO 27001

Controles de seguridad auditados de forma independiente en toda la plataforma.

Cumple con el RGPD

Acuerdos de procesamiento de datos, controles de retención y derecho de supresión integrados.

Autohospedaje y entorno privado

Despliega en tu propia nube o VPC. Tus datos nunca salen de tu infraestructura.

Soporte premium

Un plan de implementación adaptado a tu stack con un equipo de ingenieros dedicado.

SSO y MFA

Inicio de sesión único a través de tu proveedor de identidad actual, con autenticación multifactor.

Acuerdo de nivel de servicio

Tiempos de respuesta garantizados con rutas de escalado para incidentes en producción.

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Keep your quality standard separate from your AI providers

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.

Frequently asked questions

What kinds of AI products can Galtea evaluate?

Galtea can evaluate and monitor AI products including RAG assistants, chatbots, voice agents, multi-agent systems, document-processing workflows, copilots, and other LLM-powered applications.

Can Galtea support audit and compliance workflows?

Galtea provides the evaluation & monitoring data and traceability teams need to support internal reviews and evidence requirements.

Evaluate high-stakes AI systems with rigor and evidence

Evaluate every type of high-stakes AI system

All the tools you need to go from product requirements to release evidence

Evaluate sensitive AI systems without losing control of the data

Evaluate AI against the standards of your industry

Keep your quality standard separate from your AI providers

Frequently asked questions

Learn how teams in regulated industries evaluate their AI products with Galtea