AI built to be trusted.

We engineer the data, integration, governance, and runtime layers that turn AI capabilities into systems enterprises can rely on.

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Our mission

AI made accessible to demanding industries.

AI is reshaping every industry — but it has to be done responsibly. We build the infrastructure that lets enterprises adopt AI on their own terms: systems that operate reliably in production, comply with the laws they're held to, and produce the proof when an audit comes.

What we engineer

Four layers behind reliable AI.

Below every dependable AI system, the same four engineering problems have to be solved properly.

Data

Clean, governed, queryable. We connect to the systems where enterprise knowledge already lives — without forklift migrations or shadow copies.

Integration

AI talks to existing systems the way enterprises require: typed, traced, permissioned, idempotent. Every call accountable.

Governance

Policy as code, not slideware. Access, audit, lineage, and review enforced at the system level — not the trust-the-developer level.

Runtime

Observable, recoverable, predictable behavior under production load. Failure modes you can detect, debug, and design around.

Uptime 99.99% · P99 142ms · Err 0.003% · Status Nominal

Products

Built because enterprises needed them.

Both products emerged from real production engagements — the same architectural problems showing up again and again. We hardened the solutions into infrastructure anyone running enterprise AI can use.

Kora

Reliable agentic workflows

Production-grade orchestration for AI agents. Built so they behave the same way on the thousandth run as on the first — typed inputs, traced calls, deterministic recovery.

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MXCP

Enterprise-grade MCP framework

Open-source framework for putting Model Context Protocol servers into production: typed schemas, policy enforcement, observability, and operational guardrails out of the box.

mxcp.dev

Endorsements

“RAW is the one partner to get all company data available for enterprise AI. Securely. Continuously. Effortlessly.”

Dorian Selz
Dorian Selz Squirro

Writing

Engineering AI, in depth.

Long-form writing on the architectural decisions, failure modes, and trade-offs behind production AI — from the engineers who've been building these systems since 2015.

Read the blog

FAQ

Questions, briefly answered.

What does RAW Labs do?
RAW Labs is a Swiss AI engineering firm. Since 2015 we build the infrastructure behind production-grade enterprise AI — the data, integration, governance, and runtime layers AI systems need to operate reliably, comply with regulation, and produce audit-ready evidence under real production load. Headquartered in Switzerland; we serve enterprise customers globally.
Who is RAW Labs for?
Platform-engineering teams putting AI infrastructure into production, application developers building domain-specific agents, security and compliance teams that need provable audit trails, and OEM partners embedding governed AI capabilities inside their own products. The common thread is enterprises moving AI from prototype to production under regulatory pressure.
What industries does RAW Labs work with?
Telecommunications, manufacturing, financial services, and healthcare. Since 2015 we have shipped high-performance data virtualization, data lakes, advanced analytics, and secure data access across each of those industries. The same engineering discipline now applies to AI infrastructure for those same regulated sectors.
Is RAW Labs a consulting firm or a product company?
Both, deliberately. We engineer custom infrastructure for clients in code — not slides — and we ship two products of our own: Kora (production-grade agent orchestration) and MXCP (open-source Model Context Protocol server for governed data access). Most engagements use the products as the foundation and add custom engineering on top.
How does RAW Labs handle security and compliance?
Security is foundational. Our engagements and products enforce enterprise authentication (OAuth 2.0, API keys), role-based access control at every layer, complete audit trails, real-time policy enforcement before any action executes, and row-level security with data masking at the data layer. The model is zero-trust: every request must be explicitly authorised, and the evidence required for audit is produced automatically.
Who has RAW Labs worked with?
RAW Labs powers operational data access for Squirro’s enterprise AI platform, SquirroGPT — letting it query databases, SaaS applications, and APIs in real time alongside its evidence-based search. Squirro CEO Dorian Selz publicly endorses RAW Labs as the partner to make all company data available for enterprise AI: securely, continuously, effortlessly. Past customer industries include telecommunications, manufacturing, financial services, and healthcare.
How do I engage RAW Labs?
Talk to us. We’ll discuss your stack, deployment model, and regulatory constraints, then recommend the right combination of engineering work and our products. Typical enterprise engagements move from first conversation to a production-ready deployment — with full authentication, policies, and observability — in 2–4 weeks. Reach the team at https://www.raw-labs.com/contact.

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Get AI into your production.

Bring us the system you're trying to ship. We engineer the data, integration, governance, and runtime layers behind it — so your AI runs reliably, audits cleanly, and stays under your control.

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