Top Machine Learning Development Services in Europe

Addepto vs Xomnia: full comparison for 2026

Quick verdict

Addepto (4.4/5) edges ahead of Xomnia (4.3/5) overall. Addepto is the better choice for Aviation, logistics, finance — PoC to production MLOps. Xomnia is the stronger option for Dutch/NW European enterprises, data strategy plus agentic AI. The right choice depends on your project size, budget, and required tech stack.

Addepto vs Xomnia: head-to-head summary

Criterion Addepto Xomnia
Founded 2017 2013
HQ Warsaw, Poland Amsterdam, Netherlands
Team size 50–249 135+ (post-Aurai acquisition, 2025)
Rating 4.4 / 5 4.3 / 5
Primary differentiator Explicit 'proof-of-concept to production' positioning addresses the common failure mode where enterprise ML pilots never reach deployment Acquired Aurai in 2025 specifically to consolidate strategy, platform, and applied-AI capability under one roof as it scales toward regional market leadership
Pricing model Fixed project, Time & Materials Consulting retainer, dedicated team
Min. engagement $10,000+ Not published
Primary tech stack Python, MLOps pipelines, AWS Python, Cloud data platforms, Agentic AI frameworks
Industries served Aviation, Manufacturing, Automotive, Financial Services, Retail/E-commerce, Logistics Retail/E-commerce, Energy & Utilities, Healthcare, Financial Services, Public Sector

Addepto vs Xomnia: overview

Addepto

Addepto is a Warsaw, Poland AI consultancy founded in 2017 that explicitly positions its value around production-grade delivery — moving clients from proof-of-concept to production — rather than research exploration. It covers AI consulting, generative AI development, data engineering, MLOps, document processing, and computer vision, serving aviation, manufacturing, automotive, finance, retail, healthcare, and logistics clients. Addepto is a GoodFirms top-rated firm for Big Data and Business Intelligence services, with a 50–249 employee band per Clutch.

Xomnia

Xomnia is an Amsterdam, Netherlands data-and-AI consultancy founded in 2013, covering data strategy, cloud data platforms, agentic AI, and EU-hosted cloud solutions. In June 2025 it acquired Aurai specifically to scale toward becoming Northwest Europe's leading data and AI consultancy, growing its collective team past 135 specialists. Its client roster includes Rabobank, Vodafone Ziggo, ProRail, and NS (per company website), spanning retail, mobility, energy, healthcare, and public-sector work.

Services and capabilities: Addepto vs Xomnia

Capability Addepto Xomnia
ML Development
AI Consulting
Computer Vision
NLP
Generative AI
MLOps
Data Engineering
Staff Augmentation

Tech stack comparison: Addepto vs Xomnia

Framework / platform Addepto Xomnia
Python
AWS N/A
Microsoft Azure N/A N/A
Google Cloud N/A
Kubernetes N/A N/A
PyTorch N/A N/A
LangChain N/A N/A
Databricks N/A N/A

Pricing comparison: Addepto vs Xomnia

Criterion Addepto Xomnia
Minimum engagement $10,000+ Not published
Engagement models Fixed project, Time & Materials, Dedicated team Consulting retainer, Dedicated team, Fixed project
Rate transparency Minimum disclosed Not public
Price tier Accessible Enterprise / mid-market

Target audience comparison: Addepto vs Xomnia

Dimension Addepto Xomnia
Best company size Startup to mid-market Startup to mid-market
Best industries Aviation, Manufacturing, Automotive Retail/E-commerce, Energy & Utilities, Healthcare
Best use cases Computer vision for document processing, MLOps pipeline hardening for existing proof-of-concepts Enterprise data and AI strategy roadmaps, Cloud data platform builds
Typical project type Fixed project Consulting retainer

Addepto vs Xomnia: pros and cons

Addepto
+ Broad industry coverage from aviation to legal shows delivery flexibility beyond a single vertical
+ Explicit MLOps and production focus addresses the common 'stuck in proof-of-concept' failure mode
+ $10K entry point is accessible for a mid-market pilot engagement
+ GoodFirms top-rated recognition for Big Data and Business Intelligence services
- Broad industry spread can mean less depth in any single regulated vertical than a specialist boutique
- Exact team size within the 50–249 Clutch band is not broken out by function
- Public case studies are largely testimonial-based rather than published with hard metrics
Xomnia
+ Long, blue-chip client list including Rabobank, Vodafone Ziggo, ProRail, and NS (per company website)
+ 2025 Aurai acquisition materially increased delivery capacity and breadth
+ EU-hosted cloud solutions directly address data-residency concerns for Dutch and EU clients
+ Founded 2013 — over a decade of Netherlands market presence
- Recent acquisition (Aurai, 2025) means integrated team structure and delivery consistency are still settling
- Broad data-and-AI positioning is less narrowly specialized than pure-play ML boutiques on this list
- Pricing and minimum engagement are not published

Who should choose Addepto?

A typical fit: computer vision for document processing.

Explicit 'proof-of-concept to production' positioning addresses the common failure mode where enterprise ML pilots never reach deployment. Minimum engagement starts at $10,000+. Works best with clients in Aviation, Manufacturing, Automotive, Financial Services, Retail/E-commerce, Logistics.

Who should choose Xomnia?

A typical fit: enterprise data and AI strategy roadmaps.

Acquired Aurai in 2025 specifically to consolidate strategy, platform, and applied-AI capability under one roof as it scales toward regional market leadership. Minimum engagement starts at Not published. Works best with clients in Retail/E-commerce, Energy & Utilities, Healthcare, Financial Services, Public Sector.

Decision matrix: Addepto vs Xomnia

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Addepto
You need a large dedicated team for an ongoing programme Addepto
Your budget is at the lower end Compare: Addepto ($10,000+) vs Xomnia (Not published)
You need specialist depth in a specific vertical Addepto
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build Addepto

Use case fit: Addepto vs Xomnia

Use case Addepto fit Xomnia fit Winner
Computer vision for document processing Strong Limited Addepto
MLOps pipeline hardening for existing proof-of-concepts Strong Limited Addepto
Enterprise data and AI strategy roadmaps Strong Strong Both equally
Cloud data platform builds Limited Strong Xomnia
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: Addepto vs Xomnia

Addepto (4.4/5) is the stronger overall choice for most Machine Learning Development projects. Explicit 'proof-of-concept to production' positioning addresses the common failure mode where enterprise ML pilots never reach deployment.

Xomnia (4.3/5) is worth a look if you need cloud data platform builds. If your situation matches that, Xomnia is a competitive option.

Related comparisons

Addepto vs Xomnia FAQ

Is Addepto better than Xomnia?

Addepto (4.4/5) scores higher overall, but "better" depends on your use case. Addepto's strongest advantage: broad industry coverage from aviation to legal shows delivery flexibility beyond a single vertical. Xomnia's strongest advantage: Long, blue-chip client list including Rabobank, Vodafone Ziggo, ProRail, and NS (per company website).

How do Addepto and Xomnia differ in pricing?

Addepto uses fixed project, time & materials pricing with a minimum engagement of $10,000+. Xomnia uses consulting retainer, dedicated team pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Addepto or Xomnia?

Xomnia is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each company before shortlisting.

What are the main differences between Addepto and Xomnia?

Addepto's primary differentiator is: explicit 'proof-of-concept to production' positioning addresses the common failure mode where enterprise ML pilots never reach deployment. Xomnia's primary differentiator is: acquired Aurai in 2025 specifically to consolidate strategy, platform, and applied-AI capability under one roof as it scales toward regional market leadership. They also differ in team size (50–249 vs 135+ (post-Aurai acquisition, 2025)), minimum engagement ($10,000+ vs Not published), and primary industries served (Aviation, Manufacturing vs Retail/E-commerce, Energy & Utilities).