Braintrust

Braintrust

Commercial

Commercial AI observability and evaluation platform for tracing agents, running evals and experiments, and building datasets from production logs.

Curated by Tiberiu ArvaVerified

Proprietary

Strengths

  • SDKs for TypeScript, Python, Go, Java, Ruby, C#
  • Hybrid data plane on AWS, GCP or Azure
  • Unlimited users even on free tier

Practitioner note

Suits eval-heavy teams that want experiments and production logs in one place. For data-sensitive workloads the Enterprise hybrid model keeps traces, datasets and prompts in your cloud while Braintrust runs the UI and auth control plane.

Governance posture

Reviewed 2026-09-30
PartialData residency

Enterprise hybrid and self-hosted deployments keep traces, logs, datasets and prompts in the customer's cloud account and region. Hosted-SaaS regions are not stated.

Source
YesDeployment model

Hosted SaaS, or Enterprise-only hybrid with a customer data plane (Terraform for AWS, GCP, Azure) and a Braintrust-managed control plane. (saas, hybrid)

Source
UnknownAudit logging

The security docs mention only monitoring API key usage through activity logs. No dedicated audit-log feature was verified.

YesSOC 2

Braintrust states it is SOC 2 Type II compliant.

Source
UnknownISO 27001

The Braintrust security docs do not mention ISO 27001, and the Trust Center did not render certification details.

UnknownISO 42001

The Braintrust security docs do not mention ISO 42001.

N/AEU AI Act

Observability and evaluation tooling, not an AI system placed on the market. Obligations rest with the deployer. (role: not-applicable)

YesLicense risk

Proprietary SaaS. Hybrid deployment still depends on the Braintrust-managed control plane. (medium)

Source

EU AI Act obligations

Risk tier: Not applicable · as of 2026-08-23

Source-backed information mapped from Braintrust's tracked risk tier — not legal advice. Obligations depend on how your organisation deploys the system; see the full obligation reference and timeline.

This record's EU AI Act risk tier is marked not applicable, so no tier-specific obligations attach. Deployers embedding it in an AI system in scope of the Act should assess that system's own tier.

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