InData Labs vs Innowise Group: full comparison for 2026
Last updated: July 2026
Quick verdict
InData Labs (4.5/5) edges ahead of Innowise Group (3.9/5) overall. InData Labs is the better choice for fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor.. Innowise Group is the stronger option for companies wanting AI/ML delivered as part of a broad full-cycle software development engagement from one vendor.. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs Innowise Group: head-to-head summary
| Criterion | InData Labs | Innowise Group |
|---|---|---|
| Founded | 2014 | 2007 |
| HQ | Nicosia, Cyprus | Warsaw, Poland |
| Team size | 51–200 | 1,001–5,000 |
| Rating | 4.5 / 5 | 3.9 / 5 |
| Best for | Fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor. | Companies wanting AI/ML delivered as part of a broad full-cycle software development engagement from one vendor. |
| Pricing model | Fixed project and Time & Material | Fixed project, dedicated team, staff augmentation |
| Min. engagement | $20K | Not published |
| Primary tech stack | Python, Scikit-learn, TensorFlow | Python, TensorFlow, AWS |
| Industries served | FinTech, Healthcare, Technology/SaaS, Retail, Logistics | Technology/SaaS, Healthcare, Retail, Financial Services |
InData Labs vs Innowise Group: overview
InData Labs
InData Labs is a data science and AI consultancy founded in 2014 by Marat Karpeko, headquartered in Nicosia, Cyprus, with additional offices in Lithuania and the US. The 80+ person firm (per company website) runs its own R&D center and focuses on production AI systems for fintech, healthcare, SaaS, retail, and logistics clients.
Innowise Group
Innowise Group is a global full-cycle software development and IT consulting company established in 2007, headquartered in Warsaw, Poland. The firm has grown to roughly 3,000–3,500 employees and offers AI/ML services alongside web and mobile development, cloud, QA, DevOps, cybersecurity, and IT staff augmentation, with recent office expansions into the UK, UAE, and Germany.
Services and capabilities: InData Labs vs Innowise Group
| Capability | InData Labs | Innowise Group |
|---|---|---|
| Custom ML model development | ✓ | ✓ |
| Deep learning & computer vision | ✗ | ✗ |
| NLP & LLM / Generative AI | ✗ | ✗ |
| MLOps & production deployment | ✗ | ✗ |
| Data engineering | ✓ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✓ |
Tech stack comparison: InData Labs vs Innowise Group
| Framework / platform | InData Labs | Innowise Group |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| Databricks | N/A | N/A |
| LangChain | N/A | N/A |
Pricing comparison: InData Labs vs Innowise Group
| Criterion | InData Labs | Innowise Group |
|---|---|---|
| Minimum engagement | $20K | Not published |
| Engagement models | Fixed project, Time & Material | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Enterprise / not published |
Target audience comparison: InData Labs vs Innowise Group
| Dimension | InData Labs | Innowise Group |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | FinTech, Healthcare, Technology/SaaS | Technology/SaaS, Healthcare, Retail |
| Best use cases | Building a fintech risk-scoring or fraud model with a specialist data-science team, Standing up a healthcare predictive-analytics pilot with a boutique partner | Companies wanting a single vendor for a full product build that includes an ML component, Full-cycle development programs where AI/ML is one feature among several |
| Typical project type | Fixed project | Fixed project |
InData Labs vs Innowise Group: pros and cons
| InData Labs | |
|---|---|
| + | Founder brought data-analytics experience from the gaming industry, an unusually data-intensive prior domain |
| + | Multi-country footprint (Cyprus, Lithuania, US) without the very large headcount of enterprise IT firms |
| + | 10+ years of focused data science practice rather than a recent AI pivot from generalist dev work |
| + | Named vertical focus (FinTech, Healthcare, Logistics) supports domain-specific model design |
| - | 80-person team limits capacity for very large multi-year enterprise programs |
| - | Less brand recognition in North America than US-headquartered competitors |
| - | Public case studies rarely disclose named enterprise clients |
| Innowise Group | |
|---|---|
| + | 18 years of continuous growth from founding to 3,000+ employees |
| + | Recent international office expansion (UK, UAE, Germany, 2023–2024) signals active growth investment |
| + | Full-cycle development scope means AI/ML features can be built directly into a larger product without a separate vendor |
| + | 3,000+ engineers supports substantial delivery capacity for large programs |
| - | AI/ML is one of many services (alongside web, mobile, cloud, QA, cybersecurity) rather than the firm's defining specialty |
| - | Less AI-specific certification or research-driven positioning than boutique ML specialists on this list |
| - | Minimum engagement size not publicly disclosed |
Who should choose InData Labs?
InData Labs is the right choice for fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor..
Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing.. Minimum engagement starts at $20K. Works best with clients in FinTech, Healthcare, Technology/SaaS, Retail, Logistics.
Who should choose Innowise Group?
Innowise Group is the right choice for companies wanting AI/ML delivered as part of a broad full-cycle software development engagement from one vendor..
Full-cycle software development scope (web, mobile, cloud, QA, security) with AI/ML as one of several integrated specialties.. Minimum engagement starts at Not published. Works best with clients in Technology/SaaS, Healthcare, Retail, Financial Services.
Decision matrix: InData Labs vs Innowise Group
| 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 | Innowise Group |
| Your budget is at the lower end | Compare: InData Labs ($20K) vs Innowise Group (Not published) |
| You need specialist depth in a specific vertical | InData Labs |
| You need staff augmentation or team extension | Innowise Group |
| You need consulting before committing to a build | InData Labs |
Use case fit: InData Labs vs Innowise Group
| Use case | InData Labs fit | Innowise Group fit | Winner |
|---|---|---|---|
| Building a fintech risk-scoring or fraud model with a specialist data-science team | Strong | Limited | InData Labs |
| Standing up a healthcare predictive-analytics pilot with a boutique partner | Strong | Limited | InData Labs |
| Companies wanting a single vendor for a full product build that includes an ML component | Limited | Strong | Innowise Group |
| Full-cycle development programs where AI/ML is one feature among several | Limited | Strong | Innowise Group |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | Innowise Group |
Verdict: InData Labs vs Innowise Group
InData Labs (4.5/5) is the stronger overall choice for most Machine Learning Development projects. Dedicated in-house R&D center focused specifically on data science and AI rather than broad software outsourcing.. It is best for fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor..
Innowise Group (3.9/5) is the better choice when companies wanting AI/ML delivered as part of a broad full-cycle software development engagement from one vendor.. If your situation matches those criteria, Innowise Group is a competitive option.
Related comparisons
InData Labs vs Innowise Group FAQ
Is InData Labs better than Innowise Group?
InData Labs (4.5/5) scores higher overall, but "better" depends on your use case. InData Labs is better for fintech, healthcare, and SaaS companies wanting a specialist data-science boutique rather than a generalist software vendor.. Innowise Group is better for companies wanting AI/ML delivered as part of a broad full-cycle software development engagement from one vendor..
How do InData Labs and Innowise Group differ in pricing?
InData Labs uses fixed project and time & material pricing with a minimum engagement of $20K. Innowise Group uses fixed project, dedicated team, staff augmentation 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 Innowise Group?
Innowise Group is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between InData Labs and Innowise Group?
InData Labs's primary differentiator is: dedicated in-house r&d center focused specifically on data science and ai rather than broad software outsourcing.. Innowise Group's primary differentiator is: full-cycle software development scope (web, mobile, cloud, qa, security) with ai/ml as one of several integrated specialties.. They also differ in team size (51–200 vs 1,001–5,000), minimum engagement ($20K vs Not published), and primary industries served (FinTech, Healthcare vs Technology/SaaS, Healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.