Top Machine Learning Development Services in Europe

Grape Up vs Framna: full comparison for 2026

Last updated: July 2026

Quick verdict

Grape Up (4.0/5) edges ahead of Framna (3.8/5) overall. Grape Up is the better choice for automotive and finance enterprises wanting agentic AI and generative-AI-powered legacy modernization delivered by an experienced cloud-native engineering firm.. 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.

Grape Up vs Framna: head-to-head summary

Criterion Grape Up Framna
Founded 2006 2008
HQ Kraków, Poland Stockholm, Sweden (multi-hub group also headquartered across Amsterdam, Gdańsk, Copenhagen, and Zurich)
Team size Not disclosed 670+
Rating 4.0 / 5 3.8 / 5
Best for Automotive and finance enterprises wanting agentic AI and generative-AI-powered legacy modernization delivered by an experienced cloud-native engineering firm. 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 Dedicated team, project-based
Min. engagement Not published Not published
Primary tech stack Python, Kubernetes, Cloud-native platforms Python, Mobile app frameworks (iOS/Android), AI/data engineering tooling
Industries served Automotive, Financial Services, Manufacturing, Aviation Cross-industry digital product development

Grape Up vs Framna: overview

Grape Up

Grape Up is a Kraków, Poland AI and cloud-native engineering firm founded in 2006, delivering agentic AI, generative-AI-powered legacy modernization, and advanced analytics alongside its own productized platforms: Databoostr for data sharing and monetization, and Cloudboostr, a Kubernetes stack for cloud deployment. Named clients include Porsche, Nissan, Mazda, Ducati, BNP, and Allstate (per company website), concentrated in automotive, finance, manufacturing, and aviation.

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: Grape Up vs Framna

Capability Grape Up Framna
ML Development
AI Consulting
Computer Vision
NLP
Generative AI
MLOps
Data Engineering
Staff Augmentation

Tech stack comparison: Grape Up vs Framna

Framework / platform Grape Up Framna
Python
AWS N/A N/A
Microsoft Azure N/A N/A
Google Cloud N/A N/A
Kubernetes N/A
PyTorch N/A N/A
LangChain N/A N/A
Databricks N/A N/A

Pricing comparison: Grape Up vs Framna

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

Target audience comparison: Grape Up vs Framna

Dimension Grape Up Framna
Best company size Startup to mid-market Mid-market to enterprise
Best industries Automotive, Financial Services, Manufacturing Cross-industry digital product development
Best use cases Agentic AI workflow automation for enterprises, Generative-AI-powered legacy system modernization Mobile-first AI-enabled product development, Multi-country Nordic and Benelux digital product programs
Typical project type Fixed project Dedicated team

Grape Up vs Framna: pros and cons

Grape Up
+ Notable automotive and finance client roster (Porsche, Nissan, Mazda, Ducati, BNP, Allstate) per company website
+ Own productized platforms (Databoostr, Cloudboostr) show deeper platform-engineering capability than pure staffing vendors
+ Founded 2006 — nearly two decades of continuous Kraków-based delivery
+ Agentic AI and GenAI-powered legacy modernization address a current enterprise pain point directly
- Team size and detailed employee count are not publicly disclosed
- Cloud-native and Kubernetes engineering roots mean AI/ML depth may be shallower than pure-play ML boutiques
- Public case studies emphasize client logos over specific project outcomes and metrics
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 Grape Up?

Grape Up is the right choice for automotive and finance enterprises wanting agentic AI and generative-AI-powered legacy modernization delivered by an experienced cloud-native engineering firm..

Built its own productized platforms (Databoostr, Cloudboostr) alongside custom delivery — a hybrid product-plus-services model less common among pure consultancies on this list.. Minimum engagement starts at Not published. Works best with clients in Automotive, Financial Services, Manufacturing, Aviation.

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: Grape Up vs Framna

Your situation Recommended choice
You need full-ownership delivery on a defined project scope Grape Up
You need a large dedicated team for an ongoing programme Grape Up
Your budget is at the lower end Compare: Grape Up (Not published) vs Framna (Not published)
You need specialist depth in a specific vertical Grape Up
You need staff augmentation or team extension Neither; consider alternatives that offer staff aug
You need consulting before committing to a build Grape Up

Use case fit: Grape Up vs Framna

Use case Grape Up fit Framna fit Winner
Agentic AI workflow automation for enterprises Strong Limited Grape Up
Generative-AI-powered legacy system modernization Strong Limited Grape Up
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: Grape Up vs Framna

Grape Up (4.0/5) is the stronger overall choice for most Machine Learning Development projects. Built its own productized platforms (Databoostr, Cloudboostr) alongside custom delivery — a hybrid product-plus-services model less common among pure consultancies on this list.. It is best for automotive and finance enterprises wanting agentic AI and generative-AI-powered legacy modernization delivered by an experienced cloud-native engineering firm..

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

Grape Up vs Framna FAQ

Is Grape Up better than Framna?

Grape Up (4.0/5) scores higher overall, but "better" depends on your use case. Grape Up is better for automotive and finance enterprises wanting agentic AI and generative-AI-powered legacy modernization delivered by an experienced cloud-native engineering firm.. 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 Grape Up and Framna differ in pricing?

Grape Up uses fixed project, dedicated team 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: Grape Up 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 Grape Up and Framna?

Grape Up's primary differentiator is: built its own productized platforms (databoostr, cloudboostr) alongside custom delivery — a hybrid product-plus-services model less common among pure consultancies on this list.. 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 (Not disclosed vs 670+), minimum engagement (Not published vs Not published), and primary industries served (Automotive, Financial Services vs Cross-industry digital product development).

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