ML6 vs Addepto: full comparison for 2026
Quick verdict
ML6 (4.2/5) edges ahead of Addepto (3.8/5) overall. ML6 is the better choice for benelux and German firms wanting EU-based AI expertise. Addepto is the stronger option for manufacturers wanting a small first AI engagement. The right choice depends on the size of your program, your budget, and whether you want the same firm to build what it recommends.
ML6 vs Addepto: head-to-head summary
| Criterion | ML6 | Addepto |
|---|---|---|
| Founded | 2013 | 2017 |
| HQ | Ghent, Belgium | Warsaw, Poland |
| Team size | 140+ | 50–249 |
| Rating | 4.2 / 5 | 3.8 / 5 |
| Primary differentiator | European AI strategy and engineering from an OpenAI services partner | Low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries |
| Pricing model | Project fees; rates on request | $50–$99/hr (Clutch band); project-based |
| Min. engagement | Not disclosed | $10,000+ (Clutch) |
| Primary tech stack | Google Cloud, Azure, OpenAI | Databricks, Azure, AWS |
| Industries served | Manufacturing, Retail, Media, Financial services, Public sector, Healthcare | Manufacturing, Aviation, Logistics, Retail, Financial services |
ML6 vs Addepto: overview
ML6
Ghent-based ML6 has worked on AI since 2013 and employs 140+ specialists across Belgium, Germany, and the Netherlands. OpenAI named it one of its services partners in June 2025. It sells strategy and engineering together: discovery workshops and roadmaps first, then model building and deployment by the same people. Because its clients are European, EU AI Act and General Data Protection Regulation (GDPR) questions come up as ordinary project work.
Addepto
Addepto was founded in Warsaw in 2017 and was acquired in December 2025 by KMS Technology, an Atlanta digital engineering company backed by Sunstone Partners. Its chief executive says 97% of the team are AI engineers (per company website; independently unverifiable). It sells AI consulting and roadmaps for data-heavy industries such as manufacturing and aviation, followed by builds. Clutch lists $50–$99 an hour and a $10,000+ minimum project, so a small first engagement is possible.
Services and capabilities: ML6 vs Addepto
| Capability | ML6 | Addepto |
|---|---|---|
| Readiness assessment | ✗ | ✓ |
| Use-case prioritization | ✓ | ✗ |
| TCO / ROI modeling | ✗ | ✗ |
| AI governance & EU AI Act | ✓ | ✗ |
| Build vs. buy advice | ✗ | ✗ |
| Audit of live AI programs | ✗ | ✗ |
| Change management | ✗ | ✗ |
| Can build what it recommends | ✓ | ✓ |
Frameworks and platforms: ML6 vs Addepto
| Framework / platform | ML6 | Addepto |
|---|---|---|
| EU AI Act | ✓ | N/A |
| GDPR | ✓ | N/A |
| NIST AI RMF | N/A | N/A |
| AWS | N/A | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | ✓ | N/A |
| Databricks | N/A | ✓ |
| Snowflake | N/A | N/A |
Pricing comparison: ML6 vs Addepto
| Criterion | ML6 | Addepto |
|---|---|---|
| Minimum engagement | Not disclosed | $10,000+ (Clutch) |
| Engagement models | Strategy & roadmap engagement, Delivery team, Ongoing advisory | Readiness assessment, Strategy & roadmap engagement, Delivery team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Mid-market | Accessible |
Target audience comparison: ML6 vs Addepto
| Dimension | ML6 | Addepto |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Manufacturing, Retail, Media | Manufacturing, Aviation, Logistics |
| Best use cases | AI roadmaps for Belgian, Dutch, or German manufacturers., Generative AI assistants that must meet EU AI Act and GDPR rules. | A small readiness check and roadmap for a manufacturer., Predictive maintenance and quality models in industrial settings. |
| Typical project type | Strategy & roadmap engagement | Readiness assessment |
ML6 vs Addepto: pros and cons
| ML6 | |
|---|---|
| + | Strategy and engineering come from the same European team |
| + | EU AI Act and GDPR experience is part of normal delivery |
| + | OpenAI services partnership gives early access to model updates |
| + | A dozen years of applied AI work with Belgian and German industrial companies |
| - | Footprint is mostly Benelux and Germany, thin elsewhere |
| - | Its strategy business is smaller than its engineering business |
| - | The OpenAI partnership may pull recommendations toward OpenAI models, so ask for the alternatives |
| Addepto | |
|---|---|
| + | A $10,000+ Clutch minimum allows a small first step |
| + | Team is almost entirely engineers, so roadmaps stay technically grounded |
| + | Experience with manufacturing and aviation data |
| + | Databricks experience for data platform work |
| - | Acquired by KMS Technology in December 2025, and integration may change teams and priorities |
| - | Strategy work is mostly a front end to engineering |
| - | Little governance or change-management work |
Who should choose ML6?
A typical fit: AI roadmaps for Belgian, Dutch, or German manufacturers.
European AI strategy and engineering from an OpenAI services partner. Minimum engagement is not publicly disclosed. Works best with clients in Manufacturing, Retail, Media, Financial services, Public sector, Healthcare.
Who should choose Addepto?
A typical fit: a small readiness check and roadmap for a manufacturer.
Low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries. Minimum engagement starts at $10,000+ (Clutch). Works best with clients in Manufacturing, Aviation, Logistics, Retail, Financial services.
Decision matrix: ML6 vs Addepto
| Your situation | Recommended choice |
|---|---|
| Your board wants a costed, sequenced roadmap within a quarter | Neither lists cost modeling; ask for a sample roadmap |
| You already run AI that is missing its targets | Neither offers a separate audit; ask for a scoped review |
| Regulators will ask how each AI system is governed | ML6 |
| AI will change roles and processes for many staff | Neither; plan change management separately |
| You want the strategy firm to build the result too | Both can deliver after the strategy |
| Your budget is at the lower end | Compare: ML6 (Not disclosed) vs Addepto ($10,000+ (Clutch)) |
| You need a large team across many countries | ML6 |
Use case fit: ML6 vs Addepto
| Use case | ML6 fit | Addepto fit | Winner |
|---|---|---|---|
| AI roadmaps for Belgian, Dutch, or German manufacturers. | Strong | Limited | ML6 |
| Generative AI assistants that must meet EU AI Act and GDPR rules. | Strong | Limited | ML6 |
| A small readiness check and roadmap for a manufacturer. | Limited | Strong | Addepto |
| Predictive maintenance and quality models in industrial settings. | Limited | Strong | Addepto |
Verdict: ML6 vs Addepto
ML6 (4.2/5) is the stronger overall choice for most AI Strategy Consulting projects. European AI strategy and engineering from an OpenAI services partner.
Addepto (3.8/5) is worth a look if you need predictive maintenance and quality models in industrial settings. If your situation matches that, Addepto is a competitive option.
Related comparisons
ML6 vs Addepto FAQ
Is ML6 better than Addepto?
ML6 (4.2/5) scores higher overall, but "better" depends on your use case. ML6's strongest advantage: strategy and engineering come from the same European team. Addepto's strongest advantage: a $10,000+ Clutch minimum allows a small first step.
How do ML6 and Addepto differ in pricing?
ML6's pricing: project fees; rates on request. Addepto's pricing: $50–$99/hr (Clutch band); project-based with a minimum engagement of $10,000+ (Clutch). Any hourly bands shown come from Clutch, not a published rate card, so a scoping call is still needed for a project quote.
Which is better for enterprise: ML6 or Addepto?
ML6 is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each consultant before shortlisting.
What are the main differences between ML6 and Addepto?
ML6's primary differentiator is: european AI strategy and engineering from an OpenAI services partner. Addepto's primary differentiator is: low Clutch entry point ($10,000+) for AI roadmap work in data-heavy industries. They also differ in team size (140+ vs 50–249), minimum engagement (Not disclosed vs $10,000+ (Clutch)), and primary industries served (Manufacturing, Retail vs Manufacturing, Aviation).
Verify all details directly with each consultant before making a decision.