Fix incidents in minutes, not hours
Follow one trace through models, tools, APIs, databases, and background jobs. Your team sees the failing step and the customer impact in the same place.
Pydantic for enterprise
Ship AI systems your whole company can trust.
Build on the open-source Pydantic stack. Evaluate every release. Observe and govern the complete production path, from untrusted input to the answer your customer receives.
Production evidence pydantic / checkout-agent
01 Validate schema accepted
02 Evaluate 42 / 42 passed
03 Observe trace complete
agent.run842ms
model.call391ms
tool.inventory246ms
Pydantic Validation 10B downloads and counting
These companies trust Pydantic.
Outcomes across the Pydantic stack
Operational outcomes
Production AI is a company problem.
It takes more than a model call to deliver a reliable answer. Pydantic connects the decisions made in code to the evidence your business needs.
Prove behavior before release
Turn real production cases into eval datasets, define release gates in plain language, and keep the evidence that engineering, product, and compliance can review.
Keep AI economics legible
See token, model, and infrastructure cost alongside quality and latency. Set spending limits and route model traffic without adding another disconnected control plane.
Give every team the same evidence
Engineers debug the trace, product teams inspect outcomes, and security teams review the controls. Everyone works from the same production record.
Pressure-test the architecture.
Bring us your current stack and the constraints that will shape production.
Review your architectureThe Pydantic stack
Open-source foundations. Enterprise-grade operations.
Adopt the pieces you need today. The same team builds the libraries, production platform, and support path around them.
01 Open source
Build
Typed foundations for production AI
Validate untrusted data and build agents with the Python libraries developers already choose.
- Pydantic Validation
- Pydantic AI
02 Open source
Prove
Release against evidence
Test behavior against repeatable datasets and evaluation criteria before changes reach customers.
- Pydantic Evals
03 Managed or self-hosted
Run
Observe and govern what ships
Trace any language or framework, control model traffic, and improve live systems from real usage.
- Pydantic Logfire
- AI Gateway
Production evidence feeds the next release. Traces become regression cases and evals become release evidence. Your architecture stays yours.
Deployment
Your data boundary. Your choice.
Choose the operating model that fits your security, residency, and procurement requirements without changing the developer experience.
Enterprise Cloud
Best for: Moving from pilot to production quickly
Fully managed by Pydantic, with US or EU data residency, SSO, custom retention, and priority support.
- Ready in minutes
- Managed scaling
- Custom DPA or BAA
Enterprise Dedicated
Best for: Managed isolation and regional control
Single-tenant infrastructure in a dedicated VPC, operated and supported by the team that builds Logfire.
- Dedicated VPC and cluster
- Any GCP region
- Customer-managed encryption keys
Enterprise Self-hosted
Best for: Keeping telemetry in your infrastructure
Deploy to your Kubernetes cluster with our open-source Helm chart and keep telemetry inside your infrastructure.
- Your Kubernetes cluster
- Postgres and S3-compatible storage
- Setup assistance and 24/7 support
Choose the operating model.
Map residency, isolation, and ownership requirements to the right deployment.
Discuss deploymentSecurity and governance
Ready for the review before the review starts.
Give security and procurement a direct path to independently audited controls, legal documents, data policies, and deployment details.
Identity & access
- SSO with Okta, Microsoft Entra ID, Keycloak, or SAML
- Custom roles and permissions
Data & compliance
- SOC 2 Type 2, HIPAA, custom DPAs and BAAs
- US or EU residency and custom retention
Commercial support
- Volume discounts against your usage commitment
- Dedicated, SLA-backed engineering support
Customer evidence
What changes when teams can see the whole system.
Production outcomes from regulated software, cybersecurity, and AI-native engineering teams.
Root cause from an hour to minutes, across 54 agents and 697K+ production runs
Dosu cut agent debugging time 90% and saved $30k a year.
Read the customer story
160 test cases and 300 evals gate every deploy
Qualio turns plain-language quality criteria into auditable release gates.
Read the customer story
SQL alerts catch previously invisible background-job failures
Sophos catches silent failures across LLM calls, APIs, and workers.
Read the customer storyEnterprise support
Engineers on both sides of the call.
Work directly with Pydantic engineers on architecture, rollout, production readiness, and performance. Enterprise plans include 24/7 priority support, setup assistance, and an SLA matched to your operating model.
Plan your rolloutPut the rollout on the calendar.
Bring your timeline, production risks, and review requirements. We’ll work through the path to launch.
Talk to the teamQuestions
A clearer path through enterprise review.
Is Pydantic Enterprise one product?
Pydantic is a connected stack. Pydantic Validation, Pydantic AI, and Pydantic Evals are open-source Python libraries. Logfire and AI Gateway add the production observability, governance, and operational support enterprises need once those systems are live.
Can Logfire run in our environment?
Yes. Enterprise customers can choose Pydantic-managed Cloud, a Pydantic-managed dedicated environment, or self-hosted deployment in their own Kubernetes cluster. The pricing and enterprise deployment documentation contain the detailed comparison.
Do we have to use Pydantic AI to use Logfire?
No. Logfire is built on OpenTelemetry and accepts telemetry from applications written in any language or framework. The first-party Python, JavaScript and TypeScript, and Rust SDKs make common integrations easier.
Do you support languages beyond Python, TypeScript, and Rust?
Yes. Logfire accepts OpenTelemetry from any language or framework, including Java, Go, .NET, Ruby, and PHP. You can use the OpenTelemetry SDKs and collectors your teams already run, while our first-party SDKs provide a more tailored experience for Python, JavaScript and TypeScript, and Rust.
What does the enterprise security review include?
Our Trust Center covers security controls, subprocessors, compliance, and the documents procurement teams typically request. SOC 2 and penetration-test reports are available through the document request process.
How is Enterprise priced?
Enterprise pricing is custom and reflects your deployment model and negotiated usage commitment. Plans include unlimited seats and projects, volume-discounted usage, custom retention, and SLA-backed support; the pricing page contains the detailed comparison.
Bring us the hard requirements
Build the AI system you want to operate.
Tell us what you are shipping, where it has to run, and what your reviewers need to see.