InData Labs vs WeAreBrain: full comparison for 2026
Last updated: July 2026
Quick verdict
InData Labs (4.4/5) edges ahead of WeAreBrain (4.3/5) overall. InData Labs is the better choice for companies wanting a decade-plus data science track record with in-house R&D rather than a pure project-delivery shop.. WeAreBrain is the stronger option for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model.. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs WeAreBrain: head-to-head summary
| Criterion | InData Labs | WeAreBrain |
|---|---|---|
| Founded | 2014 | 2015 |
| HQ | Nicosia, Cyprus (R&D and delivery centers in Lithuania and the US) | Netherlands (internationally distributed team) |
| Team size | 80+ | 60+ |
| Rating | 4.4 / 5 | 4.3 / 5 |
| Best for | Companies wanting a decade-plus data science track record with in-house R&D rather than a pure project-delivery shop. | Startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model. |
| Pricing model | Fixed project, Time & Materials | Dedicated team, fixed project |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, Generative AI/GPT tooling, Computer vision frameworks | Python, AI product tooling, Shopify/SAP Commerce Cloud integrations |
| Industries served | Cross-industry, Predictive Analytics | Transport & Logistics, Healthcare, EdTech, Retail/E-commerce |
InData Labs vs WeAreBrain: overview
InData Labs
InData Labs is a data science and AI consultancy legally headquartered in Nicosia, Cyprus, founded in 2014 by video-gaming industry veteran Marat Karpeko, with R&D and delivery centers in Lithuania and the US. The 80+ person firm runs its own R&D center and covers a wide technical band from generative AI and GPT integration through predictive analytics, forecasting, and computer vision. Its Cyprus legal HQ gives clients an EU-entity contracting structure alongside nearshore delivery capacity.
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.
Services and capabilities: InData Labs vs WeAreBrain
| Capability | InData Labs | WeAreBrain |
|---|---|---|
| ML Development | ✓ | ✓ |
| AI Consulting | ✓ | ✓ |
| Computer Vision | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Generative AI | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| Data Engineering | ✓ | ✗ |
| Staff Augmentation | ✗ | ✗ |
Tech stack comparison: InData Labs vs WeAreBrain
| Framework / platform | InData Labs | WeAreBrain |
|---|---|---|
| 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: InData Labs vs WeAreBrain
| Criterion | InData Labs | WeAreBrain |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Time & Materials | Dedicated team, Fixed project |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / mid-market | Enterprise / mid-market |
Target audience comparison: InData Labs vs WeAreBrain
| Dimension | InData Labs | WeAreBrain |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Cross-industry, Predictive Analytics | Transport & Logistics, Healthcare, EdTech |
| Best use cases | Generative AI and GPT integration projects, Predictive analytics and forecasting | AI-native product MVP development, E-commerce AI personalization |
| Typical project type | Fixed project | Dedicated team |
InData Labs vs WeAreBrain: pros and cons
| InData Labs | |
|---|---|
| + | Founded 2014 — one of the longer-running boutique data science firms in this list |
| + | In-house R&D center is a differentiator versus pure staff-augmentation vendors |
| + | Cyprus legal HQ with Lithuania/US delivery centers gives EU-entity contracting plus nearshore delivery |
| + | Broad technical range from generative AI to classic forecasting and computer vision |
| - | 80+ employee band is imprecise — exact current headcount is not independently published |
| - | Legal HQ (Cyprus) is a smaller AI hub than its Lithuania delivery center, which may matter to buyers wanting an on-the-ground presence |
| - | Pricing model and minimum engagement are not published |
| 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 |
Who should choose InData Labs?
InData Labs is the right choice for companies wanting a decade-plus data science track record with in-house R&D rather than a pure project-delivery shop..
Runs its own R&D center rather than purely project-based delivery, spanning generative AI/GPT integration through classic predictive analytics and computer vision.. Minimum engagement starts at Not published. Works best with clients in Cross-industry, Predictive Analytics.
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.
Decision matrix: InData Labs vs WeAreBrain
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | InData Labs |
| You need a large dedicated team for an ongoing programme | WeAreBrain |
| Your budget is at the lower end | Compare: InData Labs (Not published) vs WeAreBrain (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 | InData Labs |
Use case fit: InData Labs vs WeAreBrain
| Use case | InData Labs fit | WeAreBrain fit | Winner |
|---|---|---|---|
| Generative AI and GPT integration projects | Strong | Limited | InData Labs |
| Predictive analytics and forecasting | Strong | Limited | InData Labs |
| AI-native product MVP development | Limited | Strong | WeAreBrain |
| E-commerce AI personalization | Limited | Strong | WeAreBrain |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: InData Labs vs WeAreBrain
InData Labs (4.4/5) is the stronger overall choice for most Machine Learning Development projects. Runs its own R&D center rather than purely project-based delivery, spanning generative AI/GPT integration through classic predictive analytics and computer vision.. It is best for companies wanting a decade-plus data science track record with in-house R&D rather than a pure project-delivery shop..
WeAreBrain (4.3/5) is the better choice when startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model.. If your situation matches those criteria, WeAreBrain is a competitive option.
Related comparisons
InData Labs vs WeAreBrain FAQ
Is InData Labs better than WeAreBrain?
InData Labs (4.4/5) scores higher overall, but "better" depends on your use case. InData Labs is better for companies wanting a decade-plus data science track record with in-house R&D rather than a pure project-delivery shop.. WeAreBrain is better for startups and scale-ups wanting AI-native product development combined with broader software modernization, not just an isolated ML model..
How do InData Labs and WeAreBrain differ in pricing?
InData Labs uses fixed project, time & materials pricing with a minimum engagement of Not published. WeAreBrain uses dedicated team, fixed project 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: InData Labs or WeAreBrain?
InData Labs 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 InData Labs and WeAreBrain?
InData Labs's primary differentiator is: runs its own r&d center rather than purely project-based delivery, spanning generative ai/gpt integration through classic predictive analytics and computer vision.. 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.. They also differ in team size (80+ vs 60+), minimum engagement (Not published vs Not published), and primary industries served (Cross-industry, Predictive Analytics vs Transport & Logistics, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.