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.
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.
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.
Live Security Events
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)
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
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
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.
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
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
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.
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 ConsultationNo commitment required. We'll discuss your use case and see if we can help.