InData Labs vs Innowise Group: full comparison for 2026
Quick verdict
InData Labs (4.1/5) edges ahead of Innowise Group (4.0/5) overall. InData Labs is the better choice for teams needing data science depth before an AI build. Innowise Group is the stronger option for buyers wanting one vendor across every AI service category. 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 | Limassol, Cyprus | Warsaw, Poland |
| Team size | 51-200 | 2,100-3,500 |
| Rating | 4.1 / 5 | 4.0 / 5 |
| Primary differentiator | Data-science-first heritage that predates the generative AI branding wave | Full-cycle coverage of nearly every AI service category under one 2,000-plus person firm |
| Pricing model | Fixed project or dedicated team | Fixed project, dedicated team, or staff augmentation |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, scikit-learn, TensorFlow | Python, AWS, Azure |
| Industries served | Retail & e-commerce, Gaming, Fintech, Healthcare | Healthcare, Fintech, Retail & e-commerce, Manufacturing |
InData Labs vs Innowise Group: overview
InData Labs
InData Labs traces its founding to 2014 and gaming-industry veteran Marat Karpeko, with headquarters in Cyprus and additional offices reported in Lithuania and the US. Reported staff counts swing between roughly 65 and 200 across different trackers, common for firms mixing core employees with project-based contractors. The firm's practice centers on data science: predictive analytics, natural language processing, computer vision, and large-scale data analytics, positioning it closer to a data-first consultancy than a generative-AI-branded shop.
Innowise Group
Innowise, founded in 2007 by three engineers including CEO Pavel Arlou, runs out of Warsaw with public headcount estimates between roughly 2,100 and over 3,500, a gap that likely reflects the difference between core staff and the firm's total delivered-project base of over 1,300 engagements across 60-plus countries. Its AI service list covers nearly every current category: AI agents, generative AI, GPT-based systems, computer vision, and NLP document processing. That breadth trades off against the depth boutique AI-only firms can offer in any single area.
Services and capabilities: InData Labs vs Innowise Group
| Capability | InData Labs | Innowise Group |
|---|---|---|
| Generative AI | ✗ | ✓ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✓ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: InData Labs vs Innowise Group
| Framework / platform | InData Labs | Innowise Group |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | N/A | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Kubernetes | N/A | ✓ |
Pricing comparison: InData Labs vs Innowise Group
| Criterion | InData Labs | Innowise Group |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
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 | Retail & e-commerce, Gaming, Fintech | Healthcare, Fintech, Retail & e-commerce |
| Best use cases | Building predictive models from an existing data warehouse or event stream., Adding computer vision to a product that already produces image or video data. | Staffing a large AI program that touches multiple service categories at once., Augmenting an internal team with AI engineers rather than handing off a full project. |
| Typical project type | Fixed project | Fixed project |
InData Labs vs Innowise Group: pros and cons
| InData Labs | |
|---|---|
| + | Founder's gaming background brings real-time data processing experience to computer vision work. |
| + | Cyprus headquarters (EU-based) can simplify GDPR-aligned data handling for European clients. |
| + | Predictive analytics and NLP expertise predates the current generative AI wave. |
| + | More than a decade of track record in a narrower, more defensible specialty. |
| - | Reported team size varies close to 3x across public sources |
| - | Less generative AI and LLM-specific public case work than firms built specifically around that |
| Innowise Group | |
|---|---|
| + | Broad AI service coverage leaves fewer gaps if project scope shifts mid-engagement. |
| + | Over 1,300 delivered projects across 60-plus countries demonstrates repeat operational experience. |
| + | Large staff pool supports staff augmentation in addition to full project delivery. |
| + | Multiple engagement models give buyers flexibility beyond fixed-scope contracts. |
| - | Breadth across every AI category can mean less depth than a boutique specialist offers in any one of them |
| - | Publicly reported headcount varies by over 1,000 employees across sources |
Who should choose InData Labs?
A typical fit: building predictive models from an existing data warehouse or event stream.
Data-science-first heritage that predates the generative AI branding wave. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Gaming, Fintech, Healthcare.
Who should choose Innowise Group?
A typical fit: staffing a large AI program that touches multiple service categories at once.
Full-cycle coverage of nearly every AI service category under one 2,000-plus person firm. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Fintech, Retail & e-commerce, Manufacturing.
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 | InData Labs |
| Your budget is at the lower end | Compare: InData Labs (Not disclosed) vs Innowise Group (Not disclosed) |
| You need specialist depth in a specific vertical | InData Labs |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: InData Labs vs Innowise Group
| Use case | InData Labs fit | Innowise Group fit | Winner |
|---|---|---|---|
| Building predictive models from an existing data warehouse or event stream. | Strong | Limited | InData Labs |
| Adding computer vision to a product that already produces image or video data. | Strong | Limited | InData Labs |
| Staffing a large AI program that touches multiple service categories at once. | Limited | Strong | Innowise Group |
| Augmenting an internal team with AI engineers rather than handing off a full project. | 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 (4.1/5) is the stronger overall choice for most AI Development projects. Data-science-first heritage that predates the generative AI branding wave.
Innowise Group (4.0/5) is worth a look if you need augmenting an internal team with AI engineers rather than handing off a full project. If your situation matches that, Innowise Group is a competitive option.
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InData Labs vs Innowise Group FAQ
Is InData Labs better than Innowise Group?
InData Labs (4.1/5) scores higher overall, but "better" depends on your use case. InData Labs's strongest advantage: Founder's gaming background brings real-time data processing experience to computer vision work. Innowise Group's strongest advantage: broad AI service coverage leaves fewer gaps if project scope shifts mid-engagement.
How do InData Labs and Innowise Group differ in pricing?
InData Labs uses fixed project or dedicated team pricing. Innowise Group uses fixed project, dedicated team, or staff augmentation pricing. 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 firm before shortlisting.
What are the main differences between InData Labs and Innowise Group?
InData Labs's primary differentiator is: data-science-first heritage that predates the generative AI branding wave. Innowise Group's primary differentiator is: full-cycle coverage of nearly every AI service category under one 2,000-plus person firm. They also differ in team size (51-200 vs 2,100-3,500), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Retail & e-commerce, Gaming vs Healthcare, Fintech).
Verify all details directly with each firm before making a decision.