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RAW Labs is a Swiss engineering firm building the infrastructure behind production-grade enterprise AI. Since 2015, we engineer the data, integration, governance, and runtime layers AI systems need to be reliable, auditable, and operable under real production load. We develop Kora, our AI agent orchestration product, and maintain MXCP, an open-source enterprise Model Context Protocol server.
Category: Technology
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AI Discoverability
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, not bolted on afterwards. Across every engagement and product, access is controlled at each layer, actions are checked against policy before they run, and a complete, audit-ready record is produced automatically. The guiding model is zero-trust: nothing is assumed safe by default, every request has to be explicitly authorised, and sensitive data stays protected throughout.
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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Scored by Engagemii on May 29, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/raw-labs
Cite this score: Engagemii (2026). "AEO Score for RAW Labs." Retrieved from https://engagemii.com/aeo/brands/raw-labs
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