RAW Labs

What RAW Labs does

RAW Labs SA is a Swiss AI engineering firm, headquartered in Lausanne and founded in 2015, that builds the infrastructure layers enterprises require to move AI agents from prototype to production under regulatory pressure. The company operates in two complementary modes: it engineers custom infrastructure for enterprise clients (data, integration, governance, runtime layers) and ships two proprietary products — Kora, a workflow operating system for agentic operations launched in June 2026, and MXCP, an open-source enterprise-grade Model Context Protocol framework launched in June 2025. Both products share an "externalized metadata architecture" that separates schemas, policies, and tests from implementation code, enabling static validation, drift detection, and signed audit-ready evidence.

The underlying technology stack combines a DuckDB analytical engine with dbt integration for data transformations, CEL-based policy enforcement, OAuth2/SAML authentication, and ed25519-signed WORM evidence storage. RAW Labs serves four regulated verticals — telecommunications, manufacturing, financial services, and healthcare — and ships compliance features for HIPAA, GDPR, EU AI Act Annex III, DORA Chapter 5, and Swiss SR 26-2. Performance claims include 99.99% uptime, P99 latency of 142ms, and 0.003% error rate on its engineering stack.

Revenue is generated through three streams: (1) custom engineering services for enterprise clients (professional services), (2) Kora subscriptions tiered at $0/$49/$49-per-seat/custom-pricing for Free/Pro/Teams/Enterprise plans, and (3) MXCP open-source distribution with enterprise support and consulting. GTM is hybrid: consultative direct enterprise sales for large deployments, self-serve PLG via Kora's free tier and MXCP's GitHub distribution, and channel partnerships (notably Squirro for SquirroGPT). The company has 11-50 employees and was last capitalized by a $5.5M round led by Verve Ventures in February 2021; it has since been bootstrapping product development and partnerships.

Name

RAW Labs

Legal name

RAW Labs SA

Website

https://raw-labs.com

Company type

Private

Founded year

2015

Operating status

Operating

Headcount range

11–50 employees

Short description

RAW Labs SA is a Swiss AI engineering firm founded in 2015 that builds enterprise AI infrastructure — the Kora workflow operating system and MXCP Model Context Protocol framework — to help regulated enterprises deploy governed, audit-ready AI agents in production.

Ownership category

akta.pro rank

Product category

Enterprise AI Infrastructure Software

NAICS

Software Publishers (51321), Custom Computer Programming Services (541511)

SIC

Services-Prepackaged Software (7372), Services-Computer Programming Services (7371)

akta.pro primary industry

AI Integration & Orchestration Platforms (Connectors, Workflow, iPaaS for AI) (HDAEANAI)

akta.pro secondary industries

Enterprise AI Governance, Risk & Compliance Platforms (Model Risk, Audit, Policies) (HDAEANAE), iBPMS (Intelligent BPM Suites) & Process Automation Suites (HDAEAHAG), Model Deployment, Serving & Inference Platforms (HDAAABAF)

Keywords

• Enterprise AI infrastructure
• Workflow orchestration software
• Model context protocol
• Data virtualization platform
• AI governance software

Headquarters

HQ city

Lausanne

HQ country

Switzerland

HQ region

Europe

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. Custom Engineering Services: Custom infrastructure engineering for enterprise clients. We engineer custom infrastructure for clients in code — not slides. Most engagements use the products as the foundation and add custom engineering on top.
2. Kora Subscription: Workflow operating system licensed on subscription basis with tiered pricing: Free (evaluation), Pro ($49/month), Teams ($49/seat/month), and Enterprise (custom annual contract). Includes runtime features in every plan with feature never gated by plan.
3. MXCP Open Source + Enterprise: MXCP is open-source framework with enterprise features for production-grade MCP server deployments. Revenue from enterprise support, advanced features, and consulting around the open-source product.

Pricing tiers

Go-to-market motion3 records

Distribution channels4 records

Marketing channels7 records

Core offering

RAW Labs engineers the data, integration, governance, and runtime layers that turn AI capabilities into enterprise-grade systems. The company sells two proprietary software products — Kora (a workflow operating system for AI-ready agentic operations) and MXCP (an open-source enterprise-grade Model Context Protocol framework) — and complements them with custom engineering services for regulated industries including telecom, manufacturing, financial services, and healthcare.

Product overview

RAW Labs offers two core products: Kora and MXCP. Kora is a workflow operating system for AI-ready operations that provides the foundational operating model for agentic workflows - encompassing workflow design and release management, organization/role modeling, integration management, execution handling, and monitoring/audit. MXCP is an enterprise-grade MCP framework that serves as the infrastructure layer for AI agent-to-system interaction, providing typed schemas, policy enforcement, observability, and quality assurance for connecting AI to databases, APIs, and enterprise systems. Together, these products address the full stack of enterprise AI reliability: Kora governs the workflow and process layer while MXCP handles the data access and system interaction layer.

Differentiator

Problem solved

Functional benefit

Brands

• Kora: A workflow operating system for AI-ready operations that turns critical business processes into executable workflows where humans, systems, and agents operate under release control, runtime observability, and evidence capture.
• MXCP

Products and services

• Kora A workflow operating system for AI-ready agentic operations that turns critical business processes into executable workflows where humans, systems, and agents operate under release control, runtime observability, and evidence capture. Models the organization (roles, people, agents, capabilities), manages workflow releases and environments, and provides signed run evidence for platform engineering teams and enterprises in regulated industries.
• MXCP An open-source, production-ready Model Context Protocol (MCP) server framework for enterprise AI that lets developers turn data from enterprise systems into MCP-compliant endpoints with enterprise security, audit logging, policy enforcement, and comprehensive governance features. Supports SQL-based tools, Python-based tools, and hybrid SQL/Python plugins for analytical and real-time workloads.
• Custom Engineering Services Consultative engineering engagements where RAW Labs engineers custom data, integration, governance, and runtime infrastructure for enterprise clients in code, typically using Kora and MXCP as the foundation and layering custom engineering on top. Typical engagements move from first conversation to production-ready deployment in 2-4 weeks.

Quantifiable outcome

• Reduced development timelines from weeks to days (1 day for tasks that previously took weeks) for MCP server generation
• +6 more outcomes

Named customers1 record

Segments8 records

Ideal customer profiles3 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration12 records

AI capability7 records

Feature8 records

Partnerships

One partnership is on record.

• SquirrocoreStrategic or Co-development Partner · 1 September 2024RAW Labs and Squirro formed a strategic partnership to bring real-time operational data to SquirroGPT. RAW Labs' technology enables SquirroGPT to access live operational data (databases, SaaS, APIs) and execute actions in real-time (update records, trigger workflows, execute transactions). This partnership creates a unified intelligence layer where users can query both static knowledge and dynamic operational data through a single conversational interface. The integration maintains the same security, compliance, and governance standards that enterprise customers require.

Scale indicators4 records

Recent moves5 records

Expansion highlights6 records

Direct peers

• LangChain: LangChain provides the most widely adopted open-source framework for building LLM-powered applications and agents, with a LangSmith platform for observability. It directly competes with RAW Labs' MXCP for the AI agent tooling and orchestration layer used by enterprises moving AI into production.
• Prefect: Prefect is a workflow orchestration platform designed for data and ML pipelines with strong observability and scheduling. It overlaps with Kora's positioning as orchestration infrastructure for AI-ready operations and governed workflows.
• LlamaIndex: LlamaIndex specializes in connecting LLMs to enterprise data sources through indexing and retrieval pipelines. It overlaps directly with MXCP's mission of providing structured, governed AI access to enterprise databases and APIs.
• Denodo: Denodo is a leader in data virtualization and federation, enabling real-time queries across disparate enterprise sources. It overlaps with RAW Labs' historical data virtualization capabilities and current MXCP data access layer.
• Dremio: Dremio offers a data lakehouse platform with query federation and virtualization capabilities, comparable to RAW Labs' original product foundation. It serves enterprise data access use cases that overlap with MXCP's structured data access layer.
• Temporal Technologies: Temporal provides durable workflow orchestration for production microservices, with reliability guarantees and observability. It competes with Kora at the workflow operating system layer for mission-critical processes involving humans, systems, and AI agents.

Broad incumbents

• Weights & Biases: Weights & Biases is an established MLOps platform covering experiment tracking, model registry, and observability. It sits in the broader AI infrastructure category that RAW Labs targets, though it focuses more on model development than enterprise governance and MCP integration.
• Databricks: Databricks provides a unified data and AI platform with Mosaic AI, Unity Catalog for governance, and agent tooling. It is a broad incumbent competing in the same enterprise AI infrastructure space where RAW Labs positions MXCP and Kora, with substantially greater resources.
• Palantir: Palantir's Foundry and AIP platforms serve regulated enterprises with data integration, ontology, and AI governance at massive scale. It competes with RAW Labs in the same enterprise AI infrastructure category, particularly in financial services, healthcare, and manufacturing.
• Snowflake: Snowflake is a major data cloud platform expanding into AI with Cortex AI and governance features. It is a broad incumbent in the data and AI infrastructure category where RAW Labs competes for enterprise spend on governed data access and AI workflows.

Market position

Strengths4 records

Weaknesses4 records

Competitive moat5 records

Key risks6 records

Key highlights7 records

Customer concentration

• Xx.com/raw_labs
• GitHubgithub.com/raw-labs
• LinkedInlinkedin.com/company/raw-labs

Compliance5 records

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds4 records

Investors6 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about RAW Labs