# Xomnia

> Xomnia is a reviewed AI agency in Amsterdam, Netherlands, listed in the AIAgencies.eu register and last assessed 2026-08-04.

Canonical page: https://www.aiagencies.eu/agency/xomnia
Generated: 2026-09-17 · Curated by Gabor Kiss · No paid placements — inclusion, score, and rank are never sold.

## Facts
- Location: Amsterdam, Netherlands
- Website: https://xomnia.com
- Hourly rate: not published
- Team size: 50-249
- Founded: 2013
- Services: AI Consulting, AI Development, Generative AI
- Industries: Manufacturing
- LinkedIn: https://www.linkedin.com/company/xomnia/

## About
Xomnia is an Amsterdam data and AI consultancy building machine-learning systems and the data platforms underneath them for Dutch enterprises and public organizations.

## Documented clients
Documented engagements: Enexis, VodafoneZiggo, and The Ocean Cleanup. All 3 carry a source URL on file.

## Curator assessment
Reviewed 2026-08-04 by Gabor Kiss against published evidence.

Xomnia publishes the engineering rather than the pitch: the Enexis excavation-risk model names its stack down to logistic regression, MLflow and Airflow, which tells you the model is versioned and scheduled rather than sitting in a notebook.

VodafoneZiggo's customer-facing search runs on retrieval-augmented generation in production, and The Ocean Cleanup engagement built the Azure ingestion layer underneath the analysis rather than the analysis alone.

Outcomes are reported qualitatively more often than numerically, so the case studies tell you what was built and how, but less about what moved.

Best for Dutch enterprises and public bodies that need the data platform and the model treated as one engagement, because the first is usually why the second has not worked yet.

### Key strengths
- Names MLOps tooling (MLflow, Airflow) in published work, which is evidence of systems built to keep running
- Spans data engineering and modeling, so the platform gap gets addressed rather than escalated
- Clients include a national grid operator and a telecom, both environments with real reliability constraints

### Good to know
- Case studies describe method well and outcomes loosely—ask what was measured after go-live
- No published rates, headcount or founding year

## Compared head-to-head
- Xomnia vs DEPT: https://www.aiagencies.eu/compare/dept-vs-xomnia
- Xomnia vs Rewire: https://www.aiagencies.eu/compare/rewire-vs-xomnia

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Source: AIAgencies.eu — the curated register of European AI agencies. Rate provenance: "agency-confirmed" = disclosed via submission or claimed profile; "directory-listed" = Clutch or two agreeing B2B directories (lone unverified sources are never written). Full method: https://www.aiagencies.eu/methodology · Rate index: https://www.aiagencies.eu/rates