Innowise Group vs InData Labs: full comparison for 2026
Quick verdict
Innowise Group (4.0/5) edges ahead of InData Labs (3.9/5) overall. Innowise Group is the better choice for buyers wanting AI advisory with a direct path into full-cycle build. InData Labs is the stronger option for teams needing data science advisory before an AI build. The right choice depends on your project size, budget, and required tech stack.
Innowise Group vs InData Labs: head-to-head summary
| Criterion | Innowise Group | InData Labs |
|---|---|---|
| Founded | 2007 | 2014 |
| HQ | Warsaw, Poland | Limassol, Cyprus |
| Team size | 2,100-3,500 | 51-200 |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | AI advisory as an entry point into full-cycle delivery under one 2,000-plus person agency | A data-science-first heritage predating the generative AI branding wave |
| Pricing model | Fixed project, dedicated team, or staff augmentation | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, AWS, Azure | Python, scikit-learn, TensorFlow |
| Industries served | Healthcare, Fintech, Retail & e-commerce, Manufacturing | Retail & e-commerce, Gaming, Fintech, Healthcare |
Innowise Group vs InData Labs: overview
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 AI service list covers AI agents, generative AI, 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. AI advisory is one entry point into a much broader delivery capacity rather than the firm's sole focus.
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 advisory, predictive analytics, natural language processing, and computer vision, positioning it closer to a data-first agency than a generative-AI-branded competitor chasing the current trend.
Services and capabilities: Innowise Group vs InData Labs
| Capability | Innowise Group | InData Labs |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✓ | ✗ |
| Machine learning | ✓ | ✓ |
| Data engineering | ✗ | ✓ |
| MLOps | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Innowise Group vs InData Labs
| Framework / platform | Innowise Group | InData Labs |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | N/A |
| Kubernetes | ✓ | N/A |
| LangChain | N/A | N/A |
| PyTorch | N/A | N/A |
Pricing comparison: Innowise Group vs InData Labs
| Criterion | Innowise Group | InData Labs |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team, Staff augmentation | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Innowise Group vs InData Labs
| Dimension | Innowise Group | InData Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Fintech, Retail & e-commerce | Retail & e-commerce, Gaming, Fintech |
| Best use cases | Starting with an AI advisory engagement that can scale directly into full project delivery., Augmenting an internal team with AI engineers rather than a full project handoff. | Getting a data science advisory assessment before committing to a full AI build., Adding computer vision strategy to a product that already produces image or video data. |
| Typical project type | Fixed project | Fixed project |
Innowise Group vs InData Labs: pros and cons
| Innowise Group | |
|---|---|
| + | Broad AI service coverage leaves fewer gaps if project scope shifts mid-engagement. |
| + | Over 1,300 delivered projects across 60-plus countries shows repeat operational experience. |
| + | A 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 |
| - | Publicly reported headcount varies by over 1,000 employees across sources |
| InData Labs | |
|---|---|
| + | The founder's gaming background brings real-time data processing experience to computer vision work. |
| + | A 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 agencies built specifically around that |
Who should choose Innowise Group?
A typical fit: starting with an AI advisory engagement that can scale directly into full project delivery.
AI advisory as an entry point into full-cycle delivery under one 2,000-plus person agency. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Fintech, Retail & e-commerce, Manufacturing.
Who should choose InData Labs?
A typical fit: getting a data science advisory assessment before committing to a full AI build.
A 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.
Decision matrix: Innowise Group vs InData Labs
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Innowise Group |
| You need a large dedicated team for an ongoing programme | Innowise Group |
| Your budget is at the lower end | Compare: Innowise Group (Not disclosed) vs InData Labs (Not disclosed) |
| You need specialist depth in a specific vertical | Innowise Group |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Innowise Group |
Use case fit: Innowise Group vs InData Labs
| Use case | Innowise Group fit | InData Labs fit | Winner |
|---|---|---|---|
| Starting with an AI advisory engagement that can scale directly into full project delivery. | Strong | Limited | Innowise Group |
| Augmenting an internal team with AI engineers rather than a full project handoff. | Strong | Limited | Innowise Group |
| Getting a data science advisory assessment before committing to a full AI build. | Limited | Strong | InData Labs |
| Adding computer vision strategy to a product that already produces image or video data. | Limited | Strong | InData Labs |
| Fixed-price project | Limited | Limited | Both equally |
| Dedicated team model | Limited | Limited | Both equally |
Verdict: Innowise Group vs InData Labs
Innowise Group (4.0/5) is the stronger overall choice for most AI Consulting projects. AI advisory as an entry point into full-cycle delivery under one 2,000-plus person agency.
InData Labs (3.9/5) is worth a look if you need adding computer vision strategy to a product that already produces image or video data. If your situation matches that, InData Labs is a competitive option.
Related comparisons
Innowise Group vs InData Labs FAQ
Is Innowise Group better than InData Labs?
Innowise Group (4.0/5) scores higher overall, but "better" depends on your use case. Innowise Group's strongest advantage: broad AI service coverage leaves fewer gaps if project scope shifts mid-engagement. InData Labs's strongest advantage: the founder's gaming background brings real-time data processing experience to computer vision work.
How do Innowise Group and InData Labs differ in pricing?
Innowise Group uses fixed project, dedicated team, or staff augmentation pricing. InData Labs uses fixed project or dedicated team pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Innowise Group or InData Labs?
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 Innowise Group and InData Labs?
Innowise Group's primary differentiator is: AI advisory as an entry point into full-cycle delivery under one 2,000-plus person agency. InData Labs's primary differentiator is: a data-science-first heritage predating the generative AI branding wave. They also differ in team size (2,100-3,500 vs 51-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Fintech vs Retail & e-commerce, Gaming).
Verify all details directly with each agency before making a decision.