Top Machine Learning Development Services in Europe

NILG.AI vs Framna: full comparison for 2026

Last updated: July 2026

Quick verdict

NILG.AI (4.5/5) edges ahead of Framna (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.. Framna is the stronger option for nordic and Benelux enterprises wanting mobile-first digital product development with AI/ML as an integrated capability, backed by private-equity growth investment.. The right choice depends on your project size, budget, and required tech stack.

NILG.AI vs Framna: head-to-head summary

Criterion NILG.AI Framna
Founded 2018 2008
HQ Porto, Portugal Stockholm, Sweden (multi-hub group also headquartered across Amsterdam, Gdańsk, Copenhagen, and Zurich)
Team size 10–49 670+
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. Nordic and Benelux enterprises wanting mobile-first digital product development with AI/ML as an integrated capability, backed by private-equity growth investment.
Pricing model Consulting engagement, pilot-to-scale retainer Dedicated team, project-based
Min. engagement Not published Not published
Primary tech stack Python, scikit-learn, Data pipelines Python, Mobile app frameworks (iOS/Android), AI/data engineering tooling
Industries served Public Sector, Cross-industry AI adoption Cross-industry digital product development

NILG.AI vs Framna: 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.

Framna

Framna is a digital product development group formed in 2023 through the merger of Bontouch (founded 2008 in Stockholm, formerly Sweden's leading iOS/Android product agency), Shape (Copenhagen), and Move (founded 2006 in Amsterdam), backed by Waterland Private Equity. Its 670+ product designers, engineers, and strategists work across offices including Amsterdam, Gdańsk, Stockholm, Copenhagen, and Zurich, and the group acquired Bright Inventions (Gdańsk) in September 2025 to expand further.

Services and capabilities: NILG.AI vs Framna

Capability NILG.AI Framna
ML Development
AI Consulting
Computer Vision
NLP
Generative AI
MLOps
Data Engineering
Staff Augmentation

Tech stack comparison: NILG.AI vs Framna

Framework / platform NILG.AI Framna
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 Framna

Criterion NILG.AI Framna
Minimum engagement Not published Not published
Engagement models Consulting retainer, Fixed-scope pilot Dedicated team, Project-based consulting
Rate transparency Not public Not public
Price tier Enterprise / mid-market Enterprise / mid-market

Target audience comparison: NILG.AI vs Framna

Dimension NILG.AI Framna
Best company size Startup to mid-market Mid-market to enterprise
Best industries Public Sector, Cross-industry AI adoption Cross-industry digital product development
Best use cases AI opportunity discovery workshops, Municipal and public-sector optimization pilots Mobile-first AI-enabled product development, Multi-country Nordic and Benelux digital product programs
Typical project type Consulting retainer Dedicated team

NILG.AI vs Framna: 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
Framna
+ 670+ product designers, engineers, and strategists across offices in eight cities including Gdańsk, Poland
+ Private-equity backing (Waterland) supports continued growth and acquisition capacity, including Bright Inventions in September 2025
+ Bontouch predecessor was the leading iOS and Android product agency in Sweden, giving deep mobile-engineering roots
+ Multi-country hub structure across Sweden, Denmark, the Netherlands, Poland, Switzerland, the UK, and the US supports large distributed programs
- 2023 rebrand and merger means the unified Framna brand and delivery model are still relatively new, even though component agencies are older
- AI/ML is one capability within a broader mobile and digital-product agency group, not the group's primary specialization
- Multiple recent M&A moves, including the formation merger and the 2025 Bright Inventions acquisition, mean organizational structure is still consolidating

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 Framna?

Framna is the right choice for nordic and Benelux enterprises wanting mobile-first digital product development with AI/ML as an integrated capability, backed by private-equity growth investment..

Formed in 2023 through the merger of three established agencies backed by Waterland Private Equity, giving it unusually broad simultaneous coverage of Sweden, Denmark, the Netherlands, and Poland under one group.. Minimum engagement starts at Not published. Works best with clients in Cross-industry digital product development.

Decision matrix: NILG.AI vs Framna

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 Framna
Your budget is at the lower end Compare: NILG.AI (Not published) vs Framna (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 Framna

Use case NILG.AI fit Framna fit Winner
AI opportunity discovery workshops Strong Strong Both equally
Municipal and public-sector optimization pilots Strong Limited NILG.AI
Mobile-first AI-enabled product development Limited Strong Framna
Multi-country Nordic and Benelux digital product programs Limited Strong Framna
Fixed-price build Limited Limited Both equally
Staff augmentation Limited Limited Both equally

Verdict: NILG.AI vs Framna

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..

Framna (3.8/5) is the better choice when nordic and Benelux enterprises wanting mobile-first digital product development with AI/ML as an integrated capability, backed by private-equity growth investment.. If your situation matches those criteria, Framna is a competitive option.

Related comparisons

NILG.AI vs Framna FAQ

Is NILG.AI better than Framna?

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.. Framna is better for nordic and Benelux enterprises wanting mobile-first digital product development with AI/ML as an integrated capability, backed by private-equity growth investment..

How do NILG.AI and Framna differ in pricing?

NILG.AI uses consulting engagement, pilot-to-scale retainer pricing with a minimum engagement of Not published. Framna uses dedicated team, 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 Framna?

NILG.AI 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 Framna?

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.. Framna's primary differentiator is: formed in 2023 through the merger of three established agencies backed by waterland private equity, giving it unusually broad simultaneous coverage of sweden, denmark, the netherlands, and poland under one group.. They also differ in team size (10–49 vs 670+), minimum engagement (Not published vs Not published), and primary industries served (Public Sector, Cross-industry AI adoption vs Cross-industry digital product development).

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