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 behind a generative AI build. Innowise Group is the stronger option for buyers wanting one agency across every generative AI use case. 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 predating the generative AI branding wave | Full-cycle generative AI coverage under a single 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, OpenAI API, TensorFlow | Python, OpenAI API, AWS |
| Industries served | Retail & e-commerce, Gaming, Fintech, Healthcare | Healthcare, Fintech, Retail & e-commerce, Manufacturing |
InData Labs vs Innowise Group: overview
InData Labs
InData Labs was founded in 2014 by gaming-industry veteran Marat Karpeko and is headquartered in Cyprus, with additional offices reported in Lithuania and the US. Staff estimates swing between roughly 65 and 200 across sources. Its practice centers on data science, predictive analytics, natural language processing, and computer vision, with generative AI layered onto that foundation rather than replacing it, positioning it closer to a data-first consultancy than a generative-AI-branded agency.
Innowise Group
Innowise, founded in 2007 by three engineers including CEO Pavel Arlou, is based in Warsaw with public headcount estimates ranging from roughly 2,100 to over 3,500. Its generative AI service list covers AI agents, GPT-based systems, computer vision, and NLP document processing, drawn from a total delivered-project base of over 1,300 engagements across 60-plus countries. That breadth trades depth in any single area for coverage across nearly every current generative AI use case.
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 | ✓ | ✓ |
| OpenAI API | ✓ | ✓ |
| PyTorch | N/A | 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 a generative AI feature on top of an existing data warehouse., Adding computer vision alongside generative AI to a product with image or video data. | Staffing a large generative AI program that touches multiple use cases at once., Augmenting an internal team with generative AI engineers rather than a full project handoff. |
| 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 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-specific public case work than agencies built specifically around that |
| Innowise Group | |
|---|---|
| + | Broad generative 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 generative AI category can mean less depth than a boutique specialist offers |
| - | Publicly reported headcount varies by over 1,000 employees across sources |
Who should choose InData Labs?
A typical fit: building a generative AI feature on top of an existing data warehouse.
Data-science-first heritage predating 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 generative AI program that touches multiple use cases at once.
Full-cycle generative AI coverage under a single 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 a generative AI feature on top of an existing data warehouse. | Strong | Limited | InData Labs |
| Adding computer vision alongside generative AI to a product with image or video data. | Strong | Limited | InData Labs |
| Staffing a large generative AI program that touches multiple use cases at once. | Limited | Strong | Innowise Group |
| Augmenting an internal team with generative AI engineers rather than a full project handoff. | 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 Generative AI Development projects. Data-science-first heritage predating the generative AI branding wave.
Innowise Group (4.0/5) is worth a look if you need augmenting an internal team with generative AI engineers rather than a full project handoff. 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 generative 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 company before shortlisting.
What are the main differences between InData Labs and Innowise Group?
InData Labs's primary differentiator is: data-science-first heritage predating the generative AI branding wave. Innowise Group's primary differentiator is: full-cycle generative AI coverage under a single 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 company before making a decision.