Top Machine Learning Development Services in Europe

STX Next vs Framna: full comparison for 2026

Last updated: July 2026

Quick verdict

STX Next (4.0/5) edges ahead of Framna (3.8/5) overall. STX Next is the better choice for enterprises wanting Python-native ML and AI engineering from a vendor with two decades of Python specialization and certified partnerships across all three major clouds.. 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.

STX Next vs Framna: head-to-head summary

Criterion STX Next Framna
Founded 2005 2008
HQ Poznań, Poland Stockholm, Sweden (multi-hub group also headquartered across Amsterdam, Gdańsk, Copenhagen, and Zurich)
Team size 330 670+
Rating 4.0 / 5 3.8 / 5
Best for Enterprises wanting Python-native ML and AI engineering from a vendor with two decades of Python specialization and certified partnerships across all three major clouds. 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 Fixed project, dedicated team, staff augmentation Dedicated team, project-based
Min. engagement Not published Not published
Primary tech stack Python, AWS, Snowflake Python, Mobile app frameworks (iOS/Android), AI/data engineering tooling
Industries served Financial Services, Manufacturing, Energy & Utilities, Healthcare, Retail/E-commerce Cross-industry digital product development

STX Next vs Framna: overview

STX Next

STX Next is a Poznań, Poland software company founded in 2005, describing itself as the largest Python-focused software development company in Europe with 330 employees operating a fully remote model across the US, UK, DACH region, and Poland. It holds simultaneous AWS Advanced Tier, Snowflake, Databricks, Microsoft Azure, and Amazon Bedrock partnerships, and built and open-sourced DeepNext, an autonomous AI developer agent, serving financial services, private equity, manufacturing, oil & gas, and healthcare clients.

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: STX Next vs Framna

Capability STX Next Framna
ML Development
AI Consulting
Computer Vision
NLP
Generative AI
MLOps
Data Engineering
Staff Augmentation

Tech stack comparison: STX Next vs Framna

Framework / platform STX Next Framna
Python
AWS 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

Pricing comparison: STX Next vs Framna

Criterion STX Next Framna
Minimum engagement Not published Not published
Engagement models Fixed project, Dedicated team, Staff augmentation Dedicated team, Project-based consulting
Rate transparency Not public Not public
Price tier Enterprise / mid-market Enterprise / mid-market

Target audience comparison: STX Next vs Framna

Dimension STX Next Framna
Best company size Mid-market to enterprise Mid-market to enterprise
Best industries Financial Services, Manufacturing, Energy & Utilities Cross-industry digital product development
Best use cases Python-native ML pipeline development, Multi-cloud MLOps using Databricks, Snowflake, and Bedrock Mobile-first AI-enabled product development, Multi-country Nordic and Benelux digital product programs
Typical project type Fixed project Dedicated team

STX Next vs Framna: pros and cons

STX Next
+ Largest Python-focused software company in Europe (per company website), giving deep bench strength for Python-native ML engineering
+ Certified across AWS Advanced Tier, Snowflake, Databricks, Azure, and Amazon Bedrock simultaneously — an unusually broad multi-cloud partner portfolio
+ Open-sourced its own autonomous AI dev agent (DeepNext), demonstrating in-house AI R&D beyond client work
+ 330 employees and a fully remote model across the US, UK, DACH, and Poland gives wide delivery flexibility
- AI and ML is one part of a much broader Python software-development practice, not the company's sole specialization
- 330-person scale means less boutique-style founder involvement than smaller specialists on this list
- Broad industry spread from banking to oil & gas trades vertical depth for breadth
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 STX Next?

STX Next is the right choice for enterprises wanting Python-native ML and AI engineering from a vendor with two decades of Python specialization and certified partnerships across all three major clouds..

Built and open-sourced DeepNext, an autonomous AI developer agent, and holds AWS Advanced Tier, Snowflake, Databricks, Azure, and Amazon Bedrock partnerships simultaneously.. Minimum engagement starts at Not published. Works best with clients in Financial Services, Manufacturing, Energy & Utilities, Healthcare, Retail/E-commerce.

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: STX Next vs Framna

Your situation Recommended choice
You need full-ownership delivery on a defined project scope STX Next
You need a large dedicated team for an ongoing programme STX Next
Your budget is at the lower end Compare: STX Next (Not published) vs Framna (Not published)
You need specialist depth in a specific vertical STX Next
You need staff augmentation or team extension STX Next
You need consulting before committing to a build Framna

Use case fit: STX Next vs Framna

Use case STX Next fit Framna fit Winner
Python-native ML pipeline development Strong Limited STX Next
Multi-cloud MLOps using Databricks, Snowflake, and Bedrock Strong Limited STX Next
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: STX Next vs Framna

STX Next (4.0/5) is the stronger overall choice for most Machine Learning Development projects. Built and open-sourced DeepNext, an autonomous AI developer agent, and holds AWS Advanced Tier, Snowflake, Databricks, Azure, and Amazon Bedrock partnerships simultaneously.. It is best for enterprises wanting Python-native ML and AI engineering from a vendor with two decades of Python specialization and certified partnerships across all three major clouds..

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

STX Next vs Framna FAQ

Is STX Next better than Framna?

STX Next (4.0/5) scores higher overall, but "better" depends on your use case. STX Next is better for enterprises wanting Python-native ML and AI engineering from a vendor with two decades of Python specialization and certified partnerships across all three major clouds.. 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 STX Next and Framna differ in pricing?

STX Next uses fixed project, dedicated team, staff augmentation 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: STX Next or Framna?

Framna 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 STX Next and Framna?

STX Next's primary differentiator is: built and open-sourced deepnext, an autonomous ai developer agent, and holds aws advanced tier, snowflake, databricks, azure, and amazon bedrock partnerships simultaneously.. 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 (330 vs 670+), minimum engagement (Not published vs Not published), and primary industries served (Financial Services, Manufacturing vs Cross-industry digital product development).

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