Belitsoft vs InData Labs: full comparison for 2026
Quick verdict
Belitsoft (3.9/5) edges ahead of InData Labs (3.9/5) overall. Belitsoft is the better choice for teams wanting AI consulting from an established staff augmentation partner. InData Labs is the stronger option for teams needing data science consulting before an AI build. The right choice depends on your project size, budget, and required tech stack.
Belitsoft vs InData Labs: head-to-head summary
| Criterion | Belitsoft | InData Labs |
|---|---|---|
| Founded | 2004 | 2014 |
| HQ | Warsaw, Poland | Limassol, Cyprus |
| Team size | 250-400 | 51-200 |
| Rating | 3.9 / 5 | 3.9 / 5 |
| Primary differentiator | Twenty years of outsourcing delivery with AI consulting added as a distinctly recent practice | Data-science-first heritage predating the generative AI branding wave |
| Pricing model | Dedicated team or staff augmentation | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, AWS, .NET | Python, scikit-learn, TensorFlow |
| Industries served | Healthcare, Fintech, E-learning | Retail & e-commerce, Gaming, Fintech, Healthcare |
Belitsoft vs InData Labs: overview
Belitsoft
Belitsoft was founded in 2004 and is headquartered in Warsaw, Poland, with over 250 core employees and more than 400 developers, testers, project managers, and DevOps staff distributed across Poland, Latvia, and Georgia. The company expanded into cloud and AI development in 2024, layering AI consulting on top of an already-established web and mobile development and team augmentation business, making it a genuinely recent addition rather than a rebrand of older services.
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 consulting, predictive analytics, natural language processing, and computer vision, positioning it closer to a data-first consultancy than a generative-AI-branded agency.
Services and capabilities: Belitsoft vs InData Labs
| Capability | Belitsoft | InData Labs |
|---|---|---|
| AI strategy consulting | ✓ | ✓ |
| Generative AI | ✓ | ✗ |
| Machine learning | ✗ | ✓ |
| Data engineering | ✗ | ✓ |
| MLOps | ✗ | ✗ |
| Fixed-price projects | ✗ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: Belitsoft vs InData Labs
| Framework / platform | Belitsoft | InData Labs |
|---|---|---|
| Python | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | N/A |
| LangChain | N/A | N/A |
| PyTorch | N/A | N/A |
Pricing comparison: Belitsoft vs InData Labs
| Criterion | Belitsoft | InData Labs |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Dedicated team, Staff augmentation | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Belitsoft vs InData Labs
| Dimension | Belitsoft | InData Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Fintech, E-learning | Retail & e-commerce, Gaming, Fintech |
| Best use cases | Augmenting an internal team with AI engineers on a staff-aug basis., Working with an established outsourcing partner that's newly investing in AI capability. | Getting a data science consulting 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 | Dedicated team | Fixed project |
Belitsoft vs InData Labs: pros and cons
| Belitsoft | |
|---|---|
| + | Two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia. |
| + | Transparent about AI consulting being a 2024 addition rather than overstating a longer history. |
| + | Over 400 combined technical staff supports flexible team augmentation. |
| + | Established e-learning industry presence gives it relevant vertical experience. |
| - | AI consulting practice is genuinely new as of 2024, with a shorter track record than most on this list |
| - | AI sits alongside a broader outsourcing business rather than as the firm's core identity |
| 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 |
Who should choose Belitsoft?
A typical fit: augmenting an internal team with AI engineers on a staff-aug basis.
Twenty years of outsourcing delivery with AI consulting added as a distinctly recent practice. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Fintech, E-learning.
Who should choose InData Labs?
A typical fit: getting a data science consulting assessment before committing to a full AI build.
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: Belitsoft vs InData Labs
| 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 | Belitsoft |
| Your budget is at the lower end | Compare: Belitsoft (Not disclosed) vs InData Labs (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 | Belitsoft |
Use case fit: Belitsoft vs InData Labs
| Use case | Belitsoft fit | InData Labs fit | Winner |
|---|---|---|---|
| Augmenting an internal team with AI engineers on a staff-aug basis. | Strong | Limited | Belitsoft |
| Working with an established outsourcing partner that's newly investing in AI capability. | Strong | Limited | Belitsoft |
| Getting a data science consulting 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. | Strong | Strong | Both equally |
| Fixed-price project | Limited | Limited | Both equally |
| Dedicated team model | Limited | Limited | Both equally |
Verdict: Belitsoft vs InData Labs
Belitsoft (3.9/5) is the stronger overall choice for most AI Consulting projects. Twenty years of outsourcing delivery with AI consulting added as a distinctly recent practice.
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
Belitsoft vs InData Labs FAQ
Is Belitsoft better than InData Labs?
Belitsoft (3.9/5) scores higher overall, but "better" depends on your use case. Belitsoft's strongest advantage: two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia. InData Labs's strongest advantage: Founder's gaming background brings real-time data processing experience to computer vision work.
How do Belitsoft and InData Labs differ in pricing?
Belitsoft uses 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: Belitsoft or InData Labs?
Belitsoft 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 Belitsoft and InData Labs?
Belitsoft's primary differentiator is: twenty years of outsourcing delivery with AI consulting added as a distinctly recent practice. InData Labs's primary differentiator is: data-science-first heritage predating the generative AI branding wave. They also differ in team size (250-400 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 company before making a decision.