Enterprise AI Governance
From Data to Agents

Infrastructure to safely connect AI agents to your systems and run durable, auditable agent workflows—with security, human oversight, and full control.

AI Frameworks
Claude
ChatGPT
LangChain
PydanticAI
Enterprise Data
Database
Files
REST API
Cloud

Trusted by banks, governments, and enterprises in 12+ countries

The AI Access Dilemma

AI is more capable than ever. But unlocking its full value requires system access—and access without the right infrastructure creates unacceptable risk.

AI Can Deliver Real Value

AI is getting better every day. When connected to your databases, APIs, and operational systems, it can find insights, automate workflows, and drive decisions that create measurable business impact.

But sandboxed AI with no access to real data? That's leaving value on the table.

AI Agent
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Infrastructure Impact
Critical Risk
100%
Risk Level
Evaluating AI system reliability...
Enterprise Systems
AI Agents
Governance Active

Without Infrastructure, There's Risk

Giving AI direct access to your systems without governance is dangerous. Who accessed what? When? Why? Can you prove compliance? Can you enforce policies?

Security, observability, auditability, and fail-tolerance—these aren't optional. They require purpose-built infrastructure.

RAW Labs: AI Access Infrastructure

We build the infrastructure layer between AI and your systems. Every interaction is authenticated, authorized, logged, and policy-enforced—automatically.

Get the full value of AI while maintaining complete visibility and control. Strict access. Full observability. Auditable by design.

AI Governance
Real-time Protection & Auditing
ACTIVE
47
Illegal Attempts
23
Policies Enforced
98%
Compliance Score
156
Audit Events

Live Security Events

Updated now
Secure
Audited
Compliant
Last scan: 2s ago

The RAW Labs Platform

Three layers of governance for enterprise AI—from data access to agent behavior to operational visibility.

MXCP

Transform data into AI-ready endpoints

Enterprise-grade MCP framework for building production AI tools with SQL or Python. Connect any database, API, or file—with security, testing, and governance built in.

  • SQL & Python endpoints
  • OAuth, RBAC & policy enforcement
  • Complete audit trails
  • Open source (BSL 1.1)
Learn more

MXCP Observability

Fleet monitoring for MCP servers

Unified visibility across all your MCP deployments. Traces, metrics, and audit logs through a single API—know what every agent is doing, in every environment.

  • OpenTelemetry distributed tracing
  • P50/P95/P99 latency metrics
  • Queryable audit logs
  • Multi-instance fleet dashboards
Learn more
Aimbient

Aimbient

Trustworthy infrastructure for AI agents

Backend platform for AI agents where security, auditability, and human oversight are non-negotiable. Durable workflows that survive restarts and wait for approvals.

  • Durable workflow execution
  • Human-in-the-loop approvals
  • Credential isolation per agent
  • Multi-tenant by default
Learn more

Use MXCP to give agents safe, governed access to your systems. Use Observability to keep everything under control in production. Use Aimbient to run those agents as durable workflows with human oversight.

Trusted by Industry Leaders

"
RAW is the one partner to get all company data available for enterprise AI. Securely. Continuously. Effortlessly.
Dorian Selz
Dorian Selz CEO, Squirro

Deployed Where Governance Matters

Enterprise-grade AI infrastructure for regulated industries

Financial Services

Banks, Investment Firms

Healthcare

Hospitals, Life Sciences

Government

Public Sector, Agencies

Manufacturing

Production, Industrial

Complimentary Strategy Session

Let's Discuss Your AI Strategy

We work with select enterprises to architect production-grade AI infrastructure. Share your vision and we'll explore how we can help.

Architecture Review

Understand your current landscape and identify opportunities

Strategic Roadmap

Tailored approach for security, compliance, and business goals

Investment Clarity

Transparent guidance on resources, timelines, and outcomes

Request a Consultation

Built in the Open

Our core infrastructure is open source. Evaluate freely, deploy with confidence.

We believe critical infrastructure should be inspectable. Our platform components are open source—you can read the code, understand how it works, and contribute improvements. No black boxes.

25k+ Downloads
12+ Countries
Open Source Core

Frequently Asked Questions

What does RAW Labs do? +

We build infrastructure for trustworthy AI agents in enterprises. Our platform has two main layers: MXCP governs what agents can access (your databases, APIs, and systems), while Aimbient governs what agents do over time (durable workflows with human oversight). MXCP Observability ties it all together with fleet-level visibility in production. We're focused on regulated industries—banking, healthcare, government—where security and compliance aren't optional.

Who is RAW Labs for? +

We work with platform engineers building AI infrastructure for their organizations, application developers creating domain-specific agents, security and compliance teams who need provable audit trails and policy enforcement, and OEM partners embedding governed agent capabilities into their own products. If you're moving AI from prototype to production and need enterprise-grade controls, we're built for you.

How does RAW Labs handle security and compliance? +

Security is foundational to everything we build. We support enterprise authentication through OAuth 2.0 and API keys, with role-based access control at every level. Every action is logged with complete audit trails—who did what, when, and why. We enforce policies in real-time before any action executes, support row-level security and data masking, and follow a zero-trust model where every request must be explicitly authorized. For regulated industries, this means you can demonstrate compliance to auditors.

What's the difference between MXCP and Aimbient? +

MXCP handles data and system access governance—it's how you safely expose your databases, APIs, and SaaS tools to AI agents with authentication, policies, and audit logging. Aimbient handles workflow governance—it's how you run agents that need to survive restarts, wait for human approvals, and execute over hours or days. Think of MXCP as governing what agents can see, and Aimbient as governing what agents can do.

Is your platform open source? +

MXCP is open source under the Business Source License (BSL 1.1). You can use it freely for internal projects and most commercial purposes. Aimbient's core components (runtime, SDK, registry) are also open source and production-capable. For organizations needing additional enterprise features, support SLAs, or managed hosting, we offer commercial options.

How do I get started? +

The best way is to talk to us. We'll discuss your specific requirements, assess your infrastructure, and recommend the right approach. For hands-on exploration, you can install MXCP and have your first MCP server running in about 15 minutes. Enterprise deployments with full authentication and policies typically go to production in 2-4 weeks.

Still have questions? Get in touch

Ready to Secure Your AI Infrastructure?

We help enterprises implement comprehensive AI governance. Let's discuss your specific requirements.

Schedule a Consultation

No commitment required. We'll discuss your use case and see if we can help.