NILG.AI vs N-iX: full comparison for 2026
Last updated: July 2026
Quick verdict
NILG.AI (4.5/5) edges ahead of N-iX (3.8/5) 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.. N-iX is the stronger option for large enterprises wanting AI-augmented software engineering at significant scale, from a vendor with an unusually long record of zero delivery disruption through wartime relocation.. The right choice depends on your project size, budget, and required tech stack.
NILG.AI vs N-iX: head-to-head summary
| Criterion | NILG.AI | N-iX |
|---|---|---|
| Founded | 2018 | 2002 |
| HQ | Porto, Portugal | Valletta, Malta (legal HQ; primary engineering hub historically in Lviv, Ukraine) |
| Team size | 10–49 | 2,400+ |
| Rating | 4.5 / 5 | 3.8 / 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. | Large enterprises wanting AI-augmented software engineering at significant scale, from a vendor with an unusually long record of zero delivery disruption through wartime relocation. |
| Pricing model | Consulting engagement, pilot-to-scale retainer | Dedicated team, staff augmentation, fixed project |
| Min. engagement | Not published | Not published (enterprise-scale) |
| Primary tech stack | Python, scikit-learn, Data pipelines | Python, AWS, Microsoft Azure |
| Industries served | Public Sector, Cross-industry AI adoption | Financial Services, Retail/E-commerce, Healthcare, Manufacturing, Automotive |
NILG.AI vs N-iX: 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.
N-iX
N-iX is a software engineering group founded in 2002, legally headquartered in Valletta, Malta, with its historical primary engineering hub in Lviv, Ukraine. It has 2,400+ engineers across 10 countries, serves clients including Bosch, Siemens, eBay, and Inditex (per company website), and reports zero delivery disruptions since founding — including relocating 600+ Ukrainian engineers to safety in 2022 without dropping a single client project. It delivers AI-augmented development, cloud, data analytics, and cybersecurity services.
Services and capabilities: NILG.AI vs N-iX
| Capability | NILG.AI | N-iX |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| Data Engineering | ✓ | ✓ |
| Staff Augmentation | ✗ | ✓ |
Tech stack comparison: NILG.AI vs N-iX
| Framework / platform | NILG.AI | N-iX |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | N/A | ✓ |
| Microsoft Azure | 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: NILG.AI vs N-iX
| Criterion | NILG.AI | N-iX |
|---|---|---|
| Minimum engagement | Not published | Not published (enterprise-scale) |
| Engagement models | Consulting retainer, Fixed-scope pilot | Dedicated team, Staff augmentation, Fixed project |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: NILG.AI vs N-iX
| Dimension | NILG.AI | N-iX |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Public Sector, Cross-industry AI adoption | Financial Services, Retail/E-commerce, Healthcare |
| Best use cases | AI opportunity discovery workshops, Municipal and public-sector optimization pilots | AI-augmented software engineering at enterprise scale, Data analytics and engineering for finance and retail clients |
| Typical project type | Consulting retainer | Dedicated team |
NILG.AI vs N-iX: 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 |
| N-iX | |
|---|---|
| + | 2,400+ engineers across 10 countries make it one of the largest-scale vendors on this list |
| + | Blue-chip client roster including Bosch, Siemens, eBay, and Inditex (per company website) |
| + | Average client relationships of 7+ years suggest strong long-term retention |
| + | Malta legal HQ provides an EU-entity contracting structure alongside deep Ukraine-based engineering talent |
| - | Legal HQ (Malta) is a holding structure rather than where the bulk of day-to-day engineering happens (historically Lviv, Ukraine) — buyers should understand this distinction before contracting |
| - | 2,400+ person, 10-country scale means AI/ML is one capability among many broad software engineering services |
| - | 'AI-augmented development' framing suggests AI tooling assists engineering delivery broadly, rather than the company positioning itself as a pure ML specialist |
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 N-iX?
N-iX is the right choice for large enterprises wanting AI-augmented software engineering at significant scale, from a vendor with an unusually long record of zero delivery disruption through wartime relocation..
Legally headquartered in Valletta, Malta, with its primary engineering hub historically in Lviv, Ukraine; relocated 600+ Ukrainian engineers to safety in 2022 without dropping a single client project, and reports zero delivery disruptions since founding in 2002.. Minimum engagement starts at Not published (enterprise-scale). Works best with clients in Financial Services, Retail/E-commerce, Healthcare, Manufacturing, Automotive.
Decision matrix: NILG.AI vs N-iX
| 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 | N-iX |
| Your budget is at the lower end | Compare: NILG.AI (Not published) vs N-iX (Not published (enterprise-scale)) |
| You need specialist depth in a specific vertical | N-iX |
| You need staff augmentation or team extension | N-iX |
| You need consulting before committing to a build | NILG.AI |
Use case fit: NILG.AI vs N-iX
| Use case | NILG.AI fit | N-iX fit | Winner |
|---|---|---|---|
| AI opportunity discovery workshops | Strong | Strong | Both equally |
| Municipal and public-sector optimization pilots | Strong | Limited | NILG.AI |
| AI-augmented software engineering at enterprise scale | Limited | Strong | N-iX |
| Data analytics and engineering for finance and retail clients | Limited | Strong | N-iX |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: NILG.AI vs N-iX
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..
N-iX (3.8/5) is the better choice when large enterprises wanting AI-augmented software engineering at significant scale, from a vendor with an unusually long record of zero delivery disruption through wartime relocation.. If your situation matches those criteria, N-iX is a competitive option.
Related comparisons
NILG.AI vs N-iX FAQ
Is NILG.AI better than N-iX?
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.. N-iX is better for large enterprises wanting AI-augmented software engineering at significant scale, from a vendor with an unusually long record of zero delivery disruption through wartime relocation..
How do NILG.AI and N-iX differ in pricing?
NILG.AI uses consulting engagement, pilot-to-scale retainer pricing with a minimum engagement of Not published. N-iX uses dedicated team, staff augmentation, fixed project pricing with a minimum engagement of Not published (enterprise-scale). Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: NILG.AI or N-iX?
N-iX 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 N-iX?
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.. N-iX's primary differentiator is: legally headquartered in valletta, malta, with its primary engineering hub historically in lviv, ukraine; relocated 600+ ukrainian engineers to safety in 2022 without dropping a single client project, and reports zero delivery disruptions since founding in 2002.. They also differ in team size (10–49 vs 2,400+), minimum engagement (Not published vs Not published (enterprise-scale)), and primary industries served (Public Sector, Cross-industry AI adoption vs Financial Services, Retail/E-commerce).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.