Enterprise AI control plane

Govern every agent release. Ship with confidence.

LangWatch gives engineering, security, and business teams one enterprise AI platform for simulations, evaluations, observability, audit trails, and deployment control across cloud, hybrid, VPC, and self-hosted environments.

Cloud, hybrid, VPC, or self-hostedSSO / SAML + SCIMCustom RBACAudit logsEU data residency
Production readiness
Agent release review
Approved
Release gate
Passed
Policy checks
142 / 142
EU data plane
Active
Evidence package
  • Map teams, projects, prompts, and traces to RBAC scopes
  • Run scenario suites before a risky agent release
  • Export audit evidence for security and procurement
EngineeringSecurity
Operating model

One place for every team that signs off on AI.

Enterprise AI does not fail because one metric is missing. It fails when engineering, security, domain experts, and procurement all use different evidence. LangWatch makes that evidence shared.

Engineering

Build and improve agents with shared scenarios, eval suites, traces, and CI gates.

  • Scenario testing before release
  • Prompt and evaluation versioning
  • Trace inspection when behavior drifts
Security

Review access, deployment, retention, and audit posture without slowing every team down.

  • SSO / SAML and SCIM
  • Project and team scoped RBAC
  • Audit logs for sensitive changes
Business operations

Give stakeholders visibility into reliability, cost, and customer-impacting regressions.

  • Cost attribution by team and project
  • Quality trends for release reviews
  • Procurement-ready documentation
Leadership

Standardize how AI applications move from prototype to production across the company.

  • One operating model for AI quality
  • Governance without fragmented tooling
  • Deployment flexibility as requirements change
Operating model

The LangWatch loop.

One platform across the whole lifecycle, with governance and control at the centre of every step.

01
Experiment
Prompt + dataset
02
Simulate
Scenario suites
03
Red-Team
Adversarial runs
04
Deploy
CI gate + canary
05
Observe
Traces + spans
06
Improve
Tuned releases
Govern & Control
Policy at the centre of every step.
RBACAuditCostSSO

Runs on your stack, cloud, hybrid, or fully self-hosted, on your own ClickHouse and your own servers, so nothing leaves your environment.

Security review

The controls your reviewers ask for, already in the room.

Visit Trust Center
SSO / SAML

Enterprise identity with SAML single sign-on across your whole org.

SCIM provisioning

Automated user provisioning and deprovisioning straight from your IdP.

Custom RBAC

Role-based access control scoped to teams, projects, and data.

Data boundaries

Choose where sensitive prompts, responses, traces, and eval data are processed.

Audit logs

Every action logged, filterable, and exportable for your audits.

Retention controls

Align storage and evidence retention with security review and regulatory expectations.

Uptime & support SLA

Contractual uptime and response SLAs, with a forward deployed engineer for regulated teams.

Plus custom terms, a DPA, ISO 27001 reports, and InfoSec and legal review support for regulated procurement.

Deployment

Deploy where your data boundary already is.

Start managed, move to hybrid, or run inside your infrastructure. The enterprise architecture bends around the security posture your rollout needs.

Managed cloud

Get started in minutes on our managed EU cloud, scaled and maintained for you.

Hybrid

Keep sensitive data in your environment while LangWatch Cloud coordinates review workflows.

VPC / self-hosted

Run the full platform in your own VPC or on-prem with Docker Compose or Kubernetes support.

Trusted in production

Built for teams with real AI in front of real customers.

Trusted in production by
BackbasePagBankVismaDeloitteAlturaVinnyFreeday
“LangWatch helps us ship AI features with confidence, faster, safer, and without surprises.”
Deepak Pandey · VP Technology, Backbase

Bring AI to production, under control.

Walk through your deployment model, security review, and first agent release workflow with the LangWatch team.