WeAreBrain vs Synergy Labs: full comparison for 2026
Last updated: July 2026
Quick verdict
WeAreBrain (4.3/5) edges ahead of Synergy Labs (4.1/5) overall. WeAreBrain is the better choice for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model.. Synergy Labs is the stronger option for french and EU businesses wanting practical, dashboard- and recommendation-engine-focused ML rather than deep research or foundation-model work.. The right choice depends on your project size, budget, and required tech stack.
WeAreBrain vs Synergy Labs: head-to-head summary
| Criterion | WeAreBrain | Synergy Labs |
|---|---|---|
| Founded | 2015 | 2016 |
| HQ | Netherlands (internationally distributed team) | Paris, France |
| Team size | 60+ | Not disclosed |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Best for | Startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model. | French and EU businesses wanting practical, dashboard- and recommendation-engine-focused ML rather than deep research or foundation-model work. |
| Pricing model | Dedicated team, fixed project | Fixed project, consulting |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, AI product tooling, Shopify/SAP Commerce Cloud integrations | Python, Recommendation engine frameworks, Business intelligence dashboards |
| Industries served | Transport & Logistics, Healthcare, EdTech, Retail/E-commerce | Retail/E-commerce, Cross-industry business intelligence |
WeAreBrain vs Synergy Labs: overview
WeAreBrain
WeAreBrain is a Netherlands-headquartered AI-native product studio founded in 2015, combining AI product development with software modernization, e-commerce integrations, and automation services. It describes itself as 'a winning team, not an agency,' with a 60+ person, 13-nationality team and an average client tenure of 3.8 years, alongside an NPS score above 80 (per company website). Named clients include SidelineSwap and clevergig, which was acquired by Visma.
Synergy Labs
Synergy Labs is a Paris, France AI company active since 2016, focused specifically on business-facing applied ML: smart dashboards, customer segmentation, data automation, and recommendation engines, built to EU compliance standards. Its narrower scope compared to broad AI generalists on this list suits businesses wanting practical outcome-driven ML rather than deep research or foundation-model work. Team size and detailed named case studies are not publicly available.
Services and capabilities: WeAreBrain vs Synergy Labs
| Capability | WeAreBrain | Synergy Labs |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| Data Engineering | ✗ | ✓ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: WeAreBrain vs Synergy Labs
| Framework / platform | WeAreBrain | Synergy Labs |
|---|---|---|
| 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: WeAreBrain vs Synergy Labs
| Criterion | WeAreBrain | Synergy Labs |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Fixed project | Fixed project, Consulting retainer |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: WeAreBrain vs Synergy Labs
| Dimension | WeAreBrain | Synergy Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Transport & Logistics, Healthcare, EdTech | Retail/E-commerce, Cross-industry business intelligence |
| Best use cases | AI-native product MVP development, E-commerce AI personalization | Customer segmentation modeling, Recommendation engine development |
| Typical project type | Dedicated team | Fixed project |
WeAreBrain vs Synergy Labs: pros and cons
| WeAreBrain | |
|---|---|
| + | 80+ NPS and 3.8-year average client tenure signal strong retention (per company website) |
| + | 13-nationality team supports multilingual, multi-market European delivery |
| + | Combines AI-native product development with broader software modernization services |
| + | Founded 2015 with a decade of continuous operation |
| - | Broader software, e-commerce, and automation service lines mean ML is one of several offerings, not the sole focus |
| - | 60+ team size is modest relative to enterprise-scale competitors on this list |
| - | Notable named clients (SidelineSwap, clevergig) are smaller-profile than some competitors' enterprise logos |
| Synergy Labs | |
|---|---|
| + | Active since 2016 with a clear focus on business-outcome ML: dashboards, segmentation, and recommenders |
| + | EU-compliance-first framing is relevant for French and broader EU buyers |
| + | Paris HQ provides access to France's growing AI talent market |
| + | Narrower service scope than large generalists can mean faster delivery on well-defined dashboard or recommender projects |
| - | Team size and detailed case studies are not publicly available, limiting independent verification |
| - | Narrower focus on dashboards, recommenders, and segmentation is a less natural fit for deep computer-vision or NLP research needs |
| - | Smaller public profile than Paris AI leaders like Dataiku or Hugging Face, which are product companies rather than comparable services vendors |
Who should choose WeAreBrain?
WeAreBrain is the right choice for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model..
Frames itself around culture and retention — 'a winning team, not an agency' — with a long average client tenure as central to its pitch alongside technical delivery.. Minimum engagement starts at Not published. Works best with clients in Transport & Logistics, Healthcare, EdTech, Retail/E-commerce.
Who should choose Synergy Labs?
Synergy Labs is the right choice for french and EU businesses wanting practical, dashboard- and recommendation-engine-focused ML rather than deep research or foundation-model work..
Focuses specifically on business-facing applied ML — smart dashboards, customer segmentation, recommendation engines — built to EU compliance rules, rather than broad AI R&D.. Minimum engagement starts at Not published. Works best with clients in Retail/E-commerce, Cross-industry business intelligence.
Decision matrix: WeAreBrain vs Synergy Labs
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | WeAreBrain |
| You need a large dedicated team for an ongoing programme | WeAreBrain |
| Your budget is at the lower end | Compare: WeAreBrain (Not published) vs Synergy Labs (Not published) |
| You need specialist depth in a specific vertical | WeAreBrain |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | WeAreBrain |
Use case fit: WeAreBrain vs Synergy Labs
| Use case | WeAreBrain fit | Synergy Labs fit | Winner |
|---|---|---|---|
| AI-native product MVP development | Strong | Limited | WeAreBrain |
| E-commerce AI personalization | Strong | Limited | WeAreBrain |
| Customer segmentation modeling | Limited | Strong | Synergy Labs |
| Recommendation engine development | Limited | Strong | Synergy Labs |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: WeAreBrain vs Synergy Labs
WeAreBrain (4.3/5) is the stronger overall choice for most Machine Learning Development projects. Frames itself around culture and retention — 'a winning team, not an agency' — with a long average client tenure as central to its pitch alongside technical delivery.. It is best for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model..
Synergy Labs (4.1/5) is the better choice when french and EU businesses wanting practical, dashboard- and recommendation-engine-focused ML rather than deep research or foundation-model work.. If your situation matches those criteria, Synergy Labs is a competitive option.
Related comparisons
WeAreBrain vs Synergy Labs FAQ
Is WeAreBrain better than Synergy Labs?
WeAreBrain (4.3/5) scores higher overall, but "better" depends on your use case. WeAreBrain is better for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model.. Synergy Labs is better for french and EU businesses wanting practical, dashboard- and recommendation-engine-focused ML rather than deep research or foundation-model work..
How do WeAreBrain and Synergy Labs differ in pricing?
WeAreBrain uses dedicated team, fixed project pricing with a minimum engagement of Not published. Synergy Labs uses fixed project, consulting 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: WeAreBrain or Synergy Labs?
WeAreBrain 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 WeAreBrain and Synergy Labs?
WeAreBrain's primary differentiator is: frames itself around culture and retention — 'a winning team, not an agency' — with a long average client tenure as central to its pitch alongside technical delivery.. Synergy Labs's primary differentiator is: focuses specifically on business-facing applied ml — smart dashboards, customer segmentation, recommendation engines — built to eu compliance rules, rather than broad ai r&d.. They also differ in team size (60+ vs Not disclosed), minimum engagement (Not published vs Not published), and primary industries served (Transport & Logistics, Healthcare vs Retail/E-commerce, Cross-industry business intelligence).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.