NILG.AI vs element61: full comparison for 2026
Last updated: July 2026
Quick verdict
NILG.AI (4.5/5) edges ahead of element61 (4.1/5) 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.. element61 is the stronger option for belgian and Benelux enterprises wanting a long-established analytics and performance-management consultancy that has built out a dedicated data science and AI practice.. The right choice depends on your project size, budget, and required tech stack.
NILG.AI vs element61: head-to-head summary
| Criterion | NILG.AI | element61 |
|---|---|---|
| Founded | 2018 | 2007 |
| HQ | Porto, Portugal | Brussels, Belgium |
| Team size | 10–49 | ~145 consultants (98.7 FTE per latest filings) |
| Rating | 4.5 / 5 | 4.1 / 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. | Belgian and Benelux enterprises wanting a long-established analytics and performance-management consultancy that has built out a dedicated data science and AI practice. |
| Pricing model | Consulting engagement, pilot-to-scale retainer | Consulting retainer, project-based |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, scikit-learn, Data pipelines | Python, BI/analytics platforms, Microsoft Azure |
| Industries served | Public Sector, Cross-industry AI adoption | Cross-industry Benelux enterprise |
NILG.AI vs element61: 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.
element61
element61 is a Brussels, Belgium analytics, performance management, and AI consultancy founded in 2007, with 145+ consultants averaging 9 years of experience each (98.7 FTE per latest financial filings). It layered data science and AI onto an already-mature BI and performance-management practice, and became the first Belgian partner for Microsoft's 'Analytics on Azure' Advanced Specialization. It primarily serves Belgian and Benelux enterprise clients.
Services and capabilities: NILG.AI vs element61
| Capability | NILG.AI | element61 |
|---|---|---|
| ML Development | ✓ | ✗ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| Data Engineering | ✓ | ✓ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: NILG.AI vs element61
| Framework / platform | NILG.AI | element61 |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | N/A | N/A |
| Microsoft Azure | 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 element61
| Criterion | NILG.AI | element61 |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Consulting retainer, Fixed-scope pilot | Consulting retainer, Fixed project |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: NILG.AI vs element61
| Dimension | NILG.AI | element61 |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Public Sector, Cross-industry AI adoption | Cross-industry Benelux enterprise |
| Best use cases | AI opportunity discovery workshops, Municipal and public-sector optimization pilots | Combined BI and AI enterprise programs, Azure-based analytics and ML platform builds |
| Typical project type | Consulting retainer | Consulting retainer |
NILG.AI vs element61: 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 |
| element61 | |
|---|---|
| + | Founded 2007 — one of the longest-running firms on this list, with over 15 years of continuous operation |
| + | 145+ consultants averaging 9 years of analytics and AI experience each (per company website) |
| + | First Belgian partner for Microsoft's 'Analytics on Azure' Advanced Specialization |
| + | Combined BI, data science, and AI practice under one roof simplifies vendor management for Benelux buyers |
| - | Originated as a BI and performance-management consultancy, so AI/ML is a newer practice layered onto an older core business rather than the founding focus |
| - | Belgium-centric market presence may mean less experience outside Benelux client norms |
| - | 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 element61?
element61 is the right choice for belgian and Benelux enterprises wanting a long-established analytics and performance-management consultancy that has built out a dedicated data science and AI practice..
Started as an analytics and performance-management consultancy in 2007 and layered data science and AI on top of an already-mature BI practice, combining both under one roof.. Minimum engagement starts at Not published. Works best with clients in Cross-industry Benelux enterprise.
Decision matrix: NILG.AI vs element61
| 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 | Check each company's engagement model |
| Your budget is at the lower end | Compare: NILG.AI (Not published) vs element61 (Not published) |
| You need specialist depth in a specific vertical | NILG.AI |
| 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 element61
| Use case | NILG.AI fit | element61 fit | Winner |
|---|---|---|---|
| AI opportunity discovery workshops | Strong | Strong | Both equally |
| Municipal and public-sector optimization pilots | Strong | Limited | NILG.AI |
| Combined BI and AI enterprise programs | Limited | Strong | element61 |
| Azure-based analytics and ML platform builds | Limited | Strong | element61 |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: NILG.AI vs element61
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..
element61 (4.1/5) is the better choice when belgian and Benelux enterprises wanting a long-established analytics and performance-management consultancy that has built out a dedicated data science and AI practice.. If your situation matches those criteria, element61 is a competitive option.
Related comparisons
NILG.AI vs element61 FAQ
Is NILG.AI better than element61?
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.. element61 is better for belgian and Benelux enterprises wanting a long-established analytics and performance-management consultancy that has built out a dedicated data science and AI practice..
How do NILG.AI and element61 differ in pricing?
NILG.AI uses consulting engagement, pilot-to-scale retainer pricing with a minimum engagement of Not published. element61 uses consulting retainer, project-based 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 element61?
element61 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 element61?
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.. element61's primary differentiator is: started as an analytics and performance-management consultancy in 2007 and layered data science and ai on top of an already-mature bi practice, combining both under one roof.. They also differ in team size (10–49 vs ~145 consultants (98.7 FTE per latest filings)), minimum engagement (Not published vs Not published), and primary industries served (Public Sector, Cross-industry AI adoption vs Cross-industry Benelux enterprise).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.