NILG.AI vs Xomnia: full comparison for 2026
Last updated: July 2026
Quick verdict
NILG.AI (4.5/5) edges ahead of Xomnia (4.3/5) overall. NILG.AI is the better choice for companies earlier in their AI adoption curve that want a structured discover-pilot-scale engagement model rather than a from-scratch build.. Xomnia is the stronger option for dutch and Northwest European enterprises wanting a single consultancy for data strategy, cloud data platforms, and applied or agentic AI delivery.. The right choice depends on your project size, budget, and required tech stack.
NILG.AI vs Xomnia: head-to-head summary
| Criterion | NILG.AI | Xomnia |
|---|---|---|
| Founded | 2018 | 2013 |
| HQ | Porto, Portugal | Amsterdam, Netherlands |
| Team size | 10–49 | 135+ (post-Aurai acquisition, 2025) |
| Rating | 4.5 / 5 | 4.3 / 5 |
| Best for | Companies earlier in their AI adoption curve that want a structured discover-pilot-scale engagement model rather than a from-scratch build. | Dutch and Northwest European enterprises wanting a single consultancy for data strategy, cloud data platforms, and applied or agentic AI delivery. |
| Pricing model | Consulting engagement, pilot-to-scale retainer | Consulting retainer, dedicated team |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, scikit-learn, Data pipelines | Python, Cloud data platforms, Agentic AI frameworks |
| Industries served | Public Sector, Cross-industry AI adoption | Retail/E-commerce, Energy & Utilities, Healthcare, Financial Services, Public Sector |
NILG.AI vs Xomnia: overview
NILG.AI
NILG.AI is a Porto, Portugal AI consultancy founded in 2018 by Kelwin Fernandes (PhD, Computer Science, University of Porto) and Nohelia González. It runs a structured discover-pilot-scale methodology to help businesses identify high-impact AI opportunities, validate them, and scale what works, and has assisted over 100 companies across sectors. The company was incubated at UPTEC and was awarded Data Changemaker of the Year at DSPA Insights 2024 for an AI-driven urban waste-management project in the Algarve. Its YouTube education channel has over 100,000 subscribers and NILG.AI was selected for Microsoft's 'Learn with Creators' program.
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: NILG.AI vs Xomnia
| Capability | NILG.AI | Xomnia |
|---|---|---|
| ML Development | ✓ | ✗ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✗ | ✓ |
| MLOps | ✗ | ✓ |
| Data Engineering | ✓ | ✓ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: NILG.AI vs Xomnia
| Framework / platform | NILG.AI | Xomnia |
|---|---|---|
| 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: NILG.AI vs Xomnia
| Criterion | NILG.AI | Xomnia |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Consulting retainer, Fixed-scope pilot | Consulting retainer, Dedicated team, Fixed project |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: NILG.AI vs Xomnia
| Dimension | NILG.AI | Xomnia |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Public Sector, Cross-industry AI adoption | Retail/E-commerce, Energy & Utilities, Healthcare |
| Best use cases | AI opportunity discovery workshops, Municipal and public-sector optimization pilots | Enterprise data and AI strategy roadmaps, Cloud data platform builds |
| Typical project type | Consulting retainer | Consulting retainer |
NILG.AI vs Xomnia: pros and cons
| NILG.AI | |
|---|---|
| + | Founder-level technical credibility (PhD-led, Microsoft education partner) uncommon at this company size |
| + | Structured discovery-pilot-scale methodology reduces risk for first-time AI buyers |
| + | Public recognition (Data Changemaker of the Year 2024) for a real municipal deployment |
| + | Incubated at UPTEC, giving it ties into Porto's applied-research ecosystem |
| - | 10–49 employee band limits capacity for running several large programs concurrently |
| - | Heavier emphasis on strategy and pilot work than large-scale production ML engineering compared to bigger players |
| - | Public case studies skew toward public-sector and education rather than regulated enterprise sectors |
| 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 NILG.AI?
NILG.AI is the right choice for companies earlier in their AI adoption curve that want a structured discover-pilot-scale engagement model rather than a from-scratch build..
Founder-led by a University of Porto PhD with a public AI-education arm (100K+ YouTube subscribers, Microsoft education partner) that doubles as a technical credibility signal.. Minimum engagement starts at Not published. Works best with clients in Public Sector, Cross-industry AI adoption.
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.
Decision matrix: NILG.AI vs Xomnia
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | NILG.AI |
| You need a large dedicated team for an ongoing programme | Xomnia |
| Your budget is at the lower end | Compare: NILG.AI (Not published) vs Xomnia (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 | NILG.AI |
Use case fit: NILG.AI vs Xomnia
| Use case | NILG.AI fit | Xomnia fit | Winner |
|---|---|---|---|
| AI opportunity discovery workshops | Strong | Strong | Both equally |
| Municipal and public-sector optimization pilots | Strong | Limited | NILG.AI |
| Enterprise data and AI strategy roadmaps | Limited | Strong | Xomnia |
| Cloud data platform builds | Limited | Strong | Xomnia |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: NILG.AI vs Xomnia
NILG.AI (4.5/5) is the stronger overall choice for most Machine Learning Development projects. Founder-led by a University of Porto PhD with a public AI-education arm (100K+ YouTube subscribers, Microsoft education partner) that doubles as a technical credibility signal.. It is best for companies earlier in their AI adoption curve that want a structured discover-pilot-scale engagement model rather than a from-scratch build..
Xomnia (4.3/5) is the better choice when dutch and Northwest European enterprises wanting a single consultancy for data strategy, cloud data platforms, and applied or agentic AI delivery.. If your situation matches those criteria, Xomnia is a competitive option.
Related comparisons
NILG.AI vs Xomnia FAQ
Is NILG.AI better than Xomnia?
NILG.AI (4.5/5) scores higher overall, but "better" depends on your use case. NILG.AI is better for companies earlier in their AI adoption curve that want a structured discover-pilot-scale engagement model rather than a from-scratch build.. 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..
How do NILG.AI and Xomnia differ in pricing?
NILG.AI uses consulting engagement, pilot-to-scale retainer pricing with a minimum engagement of Not published. 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: NILG.AI 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 NILG.AI and Xomnia?
NILG.AI's primary differentiator is: founder-led by a university of porto phd with a public ai-education arm (100k+ youtube subscribers, microsoft education partner) that doubles as a technical credibility signal.. 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 (10–49 vs 135+ (post-Aurai acquisition, 2025)), minimum engagement (Not published vs Not published), and primary industries served (Public Sector, Cross-industry AI adoption vs Retail/E-commerce, Energy & Utilities).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.