Xomnia vs Grape Up: full comparison for 2026
Last updated: July 2026
Quick verdict
Xomnia (4.3/5) edges ahead of Grape Up (4.0/5) 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.. Grape Up is the stronger option for automotive and finance enterprises wanting agentic AI and generative-AI-powered legacy modernization delivered by an experienced cloud-native engineering firm.. The right choice depends on your project size, budget, and required tech stack.
Xomnia vs Grape Up: head-to-head summary
| Criterion | Xomnia | Grape Up |
|---|---|---|
| Founded | 2013 | 2006 |
| HQ | Amsterdam, Netherlands | Kraków, Poland |
| Team size | 135+ (post-Aurai acquisition, 2025) | Not disclosed |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Best for | Dutch and Northwest European enterprises wanting a single consultancy for data strategy, cloud data platforms, and applied or agentic AI delivery. | Automotive and finance enterprises wanting agentic AI and generative-AI-powered legacy modernization delivered by an experienced cloud-native engineering firm. |
| Pricing model | Consulting retainer, dedicated team | Fixed project, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Cloud data platforms, Agentic AI frameworks | Python, Kubernetes, Cloud-native platforms |
| Industries served | Retail/E-commerce, Energy & Utilities, Healthcare, Financial Services, Public Sector | Automotive, Financial Services, Manufacturing, Aviation |
Xomnia vs Grape Up: 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.
Grape Up
Grape Up is a Kraków, Poland AI and cloud-native engineering firm founded in 2006, delivering agentic AI, generative-AI-powered legacy modernization, and advanced analytics alongside its own productized platforms: Databoostr for data sharing and monetization, and Cloudboostr, a Kubernetes stack for cloud deployment. Named clients include Porsche, Nissan, Mazda, Ducati, BNP, and Allstate (per company website), concentrated in automotive, finance, manufacturing, and aviation.
Services and capabilities: Xomnia vs Grape Up
| Capability | Xomnia | Grape Up |
|---|---|---|
| ML Development | ✗ | ✗ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| MLOps | ✓ | ✓ |
| Data Engineering | ✓ | ✗ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: Xomnia vs Grape Up
| Framework / platform | Xomnia | Grape Up |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | ✓ |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| Databricks | N/A | N/A |
Pricing comparison: Xomnia vs Grape Up
| Criterion | Xomnia | Grape Up |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Consulting retainer, Dedicated team, Fixed project | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: Xomnia vs Grape Up
| Dimension | Xomnia | Grape Up |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail/E-commerce, Energy & Utilities, Healthcare | Automotive, Financial Services, Manufacturing |
| Best use cases | Enterprise data and AI strategy roadmaps, Cloud data platform builds | Agentic AI workflow automation for enterprises, Generative-AI-powered legacy system modernization |
| Typical project type | Consulting retainer | Fixed project |
Xomnia vs Grape Up: 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 |
| Grape Up | |
|---|---|
| + | Notable automotive and finance client roster (Porsche, Nissan, Mazda, Ducati, BNP, Allstate) per company website |
| + | Own productized platforms (Databoostr, Cloudboostr) show deeper platform-engineering capability than pure staffing vendors |
| + | Founded 2006 — nearly two decades of continuous Kraków-based delivery |
| + | Agentic AI and GenAI-powered legacy modernization address a current enterprise pain point directly |
| - | Team size and detailed employee count are not publicly disclosed |
| - | Cloud-native and Kubernetes engineering roots mean AI/ML depth may be shallower than pure-play ML boutiques |
| - | Public case studies emphasize client logos over specific project outcomes and metrics |
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 Grape Up?
Grape Up is the right choice for automotive and finance enterprises wanting agentic AI and generative-AI-powered legacy modernization delivered by an experienced cloud-native engineering firm..
Built its own productized platforms (Databoostr, Cloudboostr) alongside custom delivery — a hybrid product-plus-services model less common among pure consultancies on this list.. Minimum engagement starts at Not published. Works best with clients in Automotive, Financial Services, Manufacturing, Aviation.
Decision matrix: Xomnia vs Grape Up
| 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 Grape Up (Not published) |
| 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 Grape Up
| Use case | Xomnia fit | Grape Up fit | Winner |
|---|---|---|---|
| Enterprise data and AI strategy roadmaps | Strong | Strong | Both equally |
| Cloud data platform builds | Strong | Limited | Xomnia |
| Agentic AI workflow automation for enterprises | Strong | Strong | Both equally |
| Generative-AI-powered legacy system modernization | Limited | Strong | Grape Up |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Xomnia vs Grape Up
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..
Grape Up (4.0/5) is the better choice when automotive and finance enterprises wanting agentic AI and generative-AI-powered legacy modernization delivered by an experienced cloud-native engineering firm.. If your situation matches those criteria, Grape Up is a competitive option.
Related comparisons
Xomnia vs Grape Up FAQ
Is Xomnia better than Grape Up?
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.. Grape Up is better for automotive and finance enterprises wanting agentic AI and generative-AI-powered legacy modernization delivered by an experienced cloud-native engineering firm..
How do Xomnia and Grape Up differ in pricing?
Xomnia uses consulting retainer, dedicated team pricing with a minimum engagement of Not published. Grape Up uses fixed project, 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: Xomnia or Grape Up?
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 Grape Up?
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.. Grape Up's primary differentiator is: built its own productized platforms (databoostr, cloudboostr) alongside custom delivery — a hybrid product-plus-services model less common among pure consultancies on this list.. They also differ in team size (135+ (post-Aurai acquisition, 2025) vs Not disclosed), minimum engagement (Not published vs Not published), and primary industries served (Retail/E-commerce, Energy & Utilities vs Automotive, Financial Services).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.