Top Machine Learning Development Services in Europe

Xomnia vs Alexander Thamm: full comparison for 2026

Last updated: July 2026

Quick verdict

Xomnia (4.3/5) edges ahead of Alexander Thamm (4.2/5) overall. Xomnia is the better choice for dutch and Northwest European enterprises wanting a single consultancy for data strategy, cloud data platforms, and applied or agentic AI delivery.. Alexander Thamm is the stronger option for large German and DACH-region enterprises — especially automotive and manufacturing — wanting a manufacturer-independent AI and data consultancy at scale.. The right choice depends on your project size, budget, and required tech stack.

Xomnia vs Alexander Thamm: head-to-head summary

Criterion Xomnia Alexander Thamm
Founded 2013 2012
HQ Amsterdam, Netherlands Munich, Germany
Team size 135+ (post-Aurai acquisition, 2025) ~500 (across 10 locations)
Rating 4.3 / 5 4.2 / 5
Best for Dutch and Northwest European enterprises wanting a single consultancy for data strategy, cloud data platforms, and applied or agentic AI delivery. Large German and DACH-region enterprises — especially automotive and manufacturing — wanting a manufacturer-independent AI and data consultancy at scale.
Pricing model Consulting retainer, dedicated team Consulting retainer, enterprise engagement
Min. engagement Not published Not published (enterprise-scale engagements)
Primary tech stack Python, Cloud data platforms, Agentic AI frameworks Python, Data engineering pipelines, Agentic AI frameworks
Industries served Retail/E-commerce, Energy & Utilities, Healthcare, Financial Services, Public Sector Automotive & Manufacturing, Financial Services, Transport & Logistics, Public Sector

Xomnia vs Alexander Thamm: overview

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.

Alexander Thamm

Alexander Thamm is a Munich, Germany data and AI consultancy founded in 2012, with roughly 500 employees across 10 locations and 3,500+ completed projects for clients including BVG, Deutsche Bahn, Porsche, Volkswagen, MTU Aero Engines, and Škoda. It positions its 'whitebox solutions' around transparency and manufacturer-independence, avoiding lock-in to a single cloud vendor's ML stack, and runs an in-house Data Academy for client training and knowledge transfer.

Services and capabilities: Xomnia vs Alexander Thamm

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

Tech stack comparison: Xomnia vs Alexander Thamm

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

Pricing comparison: Xomnia vs Alexander Thamm

Criterion Xomnia Alexander Thamm
Minimum engagement Not published Not published (enterprise-scale engagements)
Engagement models Consulting retainer, Dedicated team, Fixed project Consulting retainer, Dedicated team, Enterprise program
Rate transparency Not public Not public
Price tier Enterprise / mid-market Enterprise / mid-market

Target audience comparison: Xomnia vs Alexander Thamm

Dimension Xomnia Alexander Thamm
Best company size Startup to mid-market Mid-market to enterprise
Best industries Retail/E-commerce, Energy & Utilities, Healthcare Automotive & Manufacturing, Financial Services, Transport & Logistics
Best use cases Enterprise data and AI strategy roadmaps, Cloud data platform builds Enterprise data and AI strategy for automotive OEMs, Manufacturing process optimization with ML
Typical project type Consulting retainer Consulting retainer

Xomnia vs Alexander Thamm: pros and cons

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
Alexander Thamm
+ 3,500+ completed projects and blue-chip clients (BVG, Deutsche Bahn, Porsche, Volkswagen, Škoda) demonstrate enterprise-scale delivery
+ In-house Data Academy provides client training and knowledge transfer alongside delivery
+ Manufacturer-independent positioning avoids lock-in to a single cloud vendor's ML stack
+ 10 office locations give strong DACH-region coverage
- Enterprise-scale engagement model and pricing are not accessible for smaller buyers
- 500-person scale trades boutique specialization depth for breadth across many industries
- Heavier automotive and manufacturing concentration may be less relevant for buyers outside those sectors

Who should choose Xomnia?

Xomnia is the right choice for dutch and Northwest European enterprises wanting a single consultancy for data strategy, cloud data platforms, and applied or agentic AI delivery..

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.

Who should choose Alexander Thamm?

Alexander Thamm is the right choice for large German and DACH-region enterprises — especially automotive and manufacturing — wanting a manufacturer-independent AI and data consultancy at scale..

'Whitebox solutions' positioning emphasizes transparency and manufacturer independence, backed by 3,500+ completed projects and blue-chip automotive clients.. Minimum engagement starts at Not published (enterprise-scale engagements). Works best with clients in Automotive & Manufacturing, Financial Services, Transport & Logistics, Public Sector.

Decision matrix: Xomnia vs Alexander Thamm

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

Use case fit: Xomnia vs Alexander Thamm

Use case Xomnia fit Alexander Thamm fit Winner
Enterprise data and AI strategy roadmaps Strong Strong Both equally
Cloud data platform builds Strong Limited Xomnia
Enterprise data and AI strategy for automotive OEMs Strong Strong Both equally
Manufacturing process optimization with ML Limited Strong Alexander Thamm
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: Xomnia vs Alexander Thamm

Xomnia (4.3/5) is the stronger overall choice for most Machine Learning Development projects. Acquired Aurai in 2025 specifically to consolidate strategy, platform, and applied-AI capability under one roof as it scales toward regional market leadership.. It is best for dutch and Northwest European enterprises wanting a single consultancy for data strategy, cloud data platforms, and applied or agentic AI delivery..

Alexander Thamm (4.2/5) is the better choice when large German and DACH-region enterprises — especially automotive and manufacturing — wanting a manufacturer-independent AI and data consultancy at scale.. If your situation matches those criteria, Alexander Thamm is a competitive option.

Related comparisons

Xomnia vs Alexander Thamm FAQ

Is Xomnia better than Alexander Thamm?

Xomnia (4.3/5) scores higher overall, but "better" depends on your use case. Xomnia is better for dutch and Northwest European enterprises wanting a single consultancy for data strategy, cloud data platforms, and applied or agentic AI delivery.. Alexander Thamm is better for large German and DACH-region enterprises — especially automotive and manufacturing — wanting a manufacturer-independent AI and data consultancy at scale..

How do Xomnia and Alexander Thamm differ in pricing?

Xomnia uses consulting retainer, dedicated team pricing with a minimum engagement of Not published. Alexander Thamm uses consulting retainer, enterprise engagement pricing with a minimum engagement of Not published (enterprise-scale engagements). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.

Which is better for enterprise: Xomnia or Alexander Thamm?

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 Xomnia and Alexander Thamm?

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.. Alexander Thamm's primary differentiator is: 'whitebox solutions' positioning emphasizes transparency and manufacturer independence, backed by 3,500+ completed projects and blue-chip automotive clients.. They also differ in team size (135+ (post-Aurai acquisition, 2025) vs ~500 (across 10 locations)), minimum engagement (Not published vs Not published (enterprise-scale engagements)), and primary industries served (Retail/E-commerce, Energy & Utilities vs Automotive & Manufacturing, Financial Services).

Last reviewed: July 2026. Verify all details directly with each company before making a decision.