Patient support and intake
Write, trace, and monitor agents that answer patient questions and collect intake data. Score answers and review cases. Clinicians and domain experts review cases to build ground truth.
Observe and evaluate AI agents that handle patient data. Use Langfuse's HIPAA-ready cloud region or your own infrastructure. For healthcare and life sciences teams.
HIPAA-ready cloud region with a self-serve BAA: Sign the ClickHouse BAA, then send PHI only to the dedicated US region.
Self-host so patient data never leaves your network: Run Langfuse in your VPC or in an air-gapped environment.
Clinician or domain expert review in platform: Send traces and dataset items to annotation queues for clinicians or domain experts to review, correct, and pinpoint failure modes.
Quality gates and evidence for audits: Evaluate changes with datasets and experiments before going live, and keep traces and scores for review.
One platform for every AI team: Orchestrate one platform for tracing, evals, and cost tracking across teams. Govern centrally across the org.
Used by 21 of the Fortune 50
90B+ observations/month
100,000+ engineers building on Langfuse
Used by 21 of the Fortune 50
90B+ observations/month
100,000+ engineers building on Langfuse
HIPAA-ready cloud region
A separate US region for healthcare and life sciences workloads. Sign the ClickHouse BAA before you send PHI. Docs →
Self-host or air-gap
Run Langfuse in your own network, including a deployment with no internet access. Patient data stays there. Docs →
Masking
Remove or replace PHI in inputs, outputs, and metadata before it is stored. Docs →
Access controls
SSO and role-based access scoped to organizations and projects. Docs →
Audit logs
Record prompt changes, membership changes, and other admin actions, with the user or API key that made the change. Docs →
HIPAA-ready region in the US. BAA available.
Your app→OTel SDK→HIPAA region
Evaluate agents or datasets before release. Have clinicians and domain experts review the results and check that your AI judges agree with those labels.
Offline evals, clinician or domain expert review, judge calibration, and production checks.
Run a dataset experiment on each change. Fail the release when a score drops below your threshold.
Docs →Annotation queues are an in-app review flow. Clinicians or domain experts label traces and can save a corrected output before a release.
Docs →Score Analytics compares AI judge scores with clinician or domain expert labels. Agreement metrics include Cohen's Kappa, F1, Pearson, and Spearman.
Docs →Run compliance and quality checks with automated evaluators on production traces.
Code evaluatorsDecision model evaluatorsControl prompts, protect data, and manage access.
Keep immutable prompt versions. Use labels for staging and production, and protect the production label.
Docs →Mask inputs, outputs, and metadata in the SDK before trace data leaves your application.
Docs →Organizations and projects are the data boundary. Role-based access limits who can open a project.
Docs →Set a retention window per project. Export observations and scores to your own bucket when you need a longer archive.
Docs →Use cases
Write, trace, and monitor agents that answer patient questions and collect intake data. Score answers and review cases. Clinicians and domain experts review cases to build ground truth.
Observe agents that book and change appointments. Catch failed tool calls and wrong bookings, and test them on representative cases before they go live.
Companies like Merck Group build agents that use medical insights to draft answers, and trace them on Langfuse. Merck Group does this with Generative Medical Insights.
Merck Group · Generative Medical Insights
Observe and improve agents that draft clinical notes from visits and conversations.
Catch failing executions in production and evaluate changes before they go live. Keep traces for audit.
Trace and evaluate voice agents across speech, transcripts, and model calls. Companies like Evolve trace assistive agents such as Rest, and improve them in annotation queues.
Evolve · Rest sleep coach
Companies like Merck Group give AI teams one platform for traces, prompts, and evaluations. Merck Group's platform team serves 80+ use cases on Langfuse.
Merck Group · 80+ use cases
Start with datasets and release gates. Then read how Merck Group and Evolve use Langfuse.
Evaluate model and prompt changes against datasets before release.
Design ground-truth datasets with clear inputs, expected outputs, and a review rubric.
How Merck Group serves 80+ AI teams on self-hosted Langfuse.
How Evolve traces and evaluates Rest, a voice-and-text sleep coach.
Create a fresh Langfuse Cloud account in the HIPAA-ready region. The region runs in Oregon (AWS us-west-2) at hipaa.cloud.langfuse.com. Subscribe to the Pro plan or higher. Complete and sign the ClickHouse Business Associate Agreement via Ironclad before you process PHI. That form is the ClickHouse BAA for Langfuse HIPAA Cloud. It asks for your Langfuse organization ID. Where to find the organization ID. Send HIPAA-regulated data only to that region. It is separate from the EU, US, and Japan regions. In a self-hosted deployment, Langfuse does not receive or process your data, so no BAA with Langfuse is involved. You implement the HIPAA safeguards in your own environment. HIPAA docs.
Talk through the HIPAA-ready region, self-hosting, and how Merck Group and Evolve use Langfuse.
No credit card required · Free tier available · Self-hosting option