WeAreBrain vs Predli: full comparison for 2026
Last updated: July 2026
Quick verdict
WeAreBrain (4.3/5) edges ahead of Predli (4.2/5) 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.. Predli is the stronger option for organizations wanting a structured path from first AI experiments to production, combining strategy, engineering, and applied research in one team.. The right choice depends on your project size, budget, and required tech stack.
WeAreBrain vs Predli: head-to-head summary
| Criterion | WeAreBrain | Predli |
|---|---|---|
| Founded | 2015 | 2019 |
| HQ | Netherlands (internationally distributed team) | Stockholm, Sweden |
| Team size | 60+ | Not disclosed |
| Rating | 4.3 / 5 | 4.2 / 5 |
| Best for | Startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model. | Organizations wanting a structured path from first AI experiments to production, combining strategy, engineering, and applied research in one team. |
| Pricing model | Dedicated team, fixed project | Consulting engagement, project-based |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, AI product tooling, Shopify/SAP Commerce Cloud integrations | Python, Generative AI frameworks, Cloud ML platforms |
| Industries served | Transport & Logistics, Healthcare, EdTech, Retail/E-commerce | Cross-industry AI adoption |
WeAreBrain vs Predli: 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.
Predli
Predli is a Stockholm, Sweden AI consulting company founded in 2019, combining strategy, engineering, and applied research to take organizations from first AI experiments to production-grade systems. Its 'Predli Studio' functions as a dedicated build unit for turning AI strategy directly into custom production solutions, alongside tech due diligence and AI masterclasses. The company has delivered 40+ AI use-cases for 50+ clients globally (per company website); team size is not publicly disclosed.
Services and capabilities: WeAreBrain vs Predli
| Capability | WeAreBrain | Predli |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| Data Engineering | ✗ | ✗ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: WeAreBrain vs Predli
| Framework / platform | WeAreBrain | Predli |
|---|---|---|
| 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 Predli
| Criterion | WeAreBrain | Predli |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Fixed project | Consulting retainer, Fixed project |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: WeAreBrain vs Predli
| Dimension | WeAreBrain | Predli |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Transport & Logistics, Healthcare, EdTech | Cross-industry AI adoption |
| Best use cases | AI-native product MVP development, E-commerce AI personalization | AI strategy and tech due diligence, Generative AI production builds via Predli Studio |
| Typical project type | Dedicated team | Consulting retainer |
WeAreBrain vs Predli: 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 |
| Predli | |
|---|---|
| + | 40+ AI use-cases delivered end-to-end for 50+ clients globally (per company website) |
| + | Combines tech due diligence and masterclasses alongside hands-on build work, useful for less AI-mature buyers |
| + | Stockholm HQ gives access to the strong Nordic tech and startup ecosystem |
| + | Founded 2019 with a focused, single-market Nordic identity |
| - | Team size is not publicly disclosed |
| - | Founded 2019 — shorter track record than several Polish and German competitors on this list |
| - | Public case study detail (client names, metrics) is limited |
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 Predli?
Predli is the right choice for organizations wanting a structured path from first AI experiments to production, combining strategy, engineering, and applied research in one team..
'Predli Studio' is a dedicated build function that turns AI strategy directly into production-grade custom solutions, rather than handing delivery to a separate vendor.. Minimum engagement starts at Not published. Works best with clients in Cross-industry AI adoption.
Decision matrix: WeAreBrain vs Predli
| 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 Predli (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 Predli
| Use case | WeAreBrain fit | Predli fit | Winner |
|---|---|---|---|
| AI-native product MVP development | Strong | Limited | WeAreBrain |
| E-commerce AI personalization | Strong | Limited | WeAreBrain |
| AI strategy and tech due diligence | Strong | Strong | Both equally |
| Generative AI production builds via Predli Studio | Limited | Strong | Predli |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: WeAreBrain vs Predli
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..
Predli (4.2/5) is the better choice when organizations wanting a structured path from first AI experiments to production, combining strategy, engineering, and applied research in one team.. If your situation matches those criteria, Predli is a competitive option.
Related comparisons
WeAreBrain vs Predli FAQ
Is WeAreBrain better than Predli?
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.. Predli is better for organizations wanting a structured path from first AI experiments to production, combining strategy, engineering, and applied research in one team..
How do WeAreBrain and Predli differ in pricing?
WeAreBrain uses dedicated team, fixed project pricing with a minimum engagement of Not published. Predli uses consulting engagement, 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: WeAreBrain or Predli?
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 Predli?
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.. Predli's primary differentiator is: 'predli studio' is a dedicated build function that turns ai strategy directly into production-grade custom solutions, rather than handing delivery to a separate vendor.. 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 Cross-industry AI adoption).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.