InData Labs vs Belitsoft: full comparison for 2026
Quick verdict
InData Labs (4.1/5) edges ahead of Belitsoft (3.9/5) overall. InData Labs is the better choice for teams needing data science depth behind a generative AI build. Belitsoft is the stronger option for teams wanting generative AI from an established staff augmentation partner. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs Belitsoft: head-to-head summary
| Criterion | InData Labs | Belitsoft |
|---|---|---|
| Founded | 2014 | 2004 |
| HQ | Limassol, Cyprus | Warsaw, Poland |
| Team size | 51-200 | 250-400 |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Primary differentiator | Data-science-first heritage predating the generative AI branding wave | Twenty years of outsourcing delivery with generative AI added as a distinctly recent practice |
| Pricing model | Fixed project or dedicated team | 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, E-learning |
InData Labs vs Belitsoft: 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.
Belitsoft
Belitsoft was founded in 2004 and is headquartered in Warsaw, Poland, with over 250 core employees and more than 400 developers, testers, and DevOps staff distributed across Poland, Latvia, and Georgia. The company expanded into cloud and generative AI development in 2024, layering AI solutions on top of an already-established web and mobile development and team augmentation business. That makes generative AI a genuinely recent addition rather than a rebrand of older services.
Services and capabilities: InData Labs vs Belitsoft
| Capability | InData Labs | Belitsoft |
|---|---|---|
| Generative AI | ✓ | ✓ |
| Machine learning | ✗ | ✗ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: InData Labs vs Belitsoft
| Framework / platform | InData Labs | Belitsoft |
|---|---|---|
| Python | ✓ | ✓ |
| OpenAI API | ✓ | ✓ |
| PyTorch | N/A | N/A |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: InData Labs vs Belitsoft
| Criterion | InData Labs | Belitsoft |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Dedicated team, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: InData Labs vs Belitsoft
| Dimension | InData Labs | Belitsoft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail & e-commerce, Gaming, Fintech | Healthcare, Fintech, E-learning |
| 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. | Augmenting an internal team with generative AI engineers on a staff-aug basis., Working with an established outsourcing partner newly investing in generative AI. |
| Typical project type | Fixed project | Dedicated team |
InData Labs vs Belitsoft: 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 |
| Belitsoft | |
|---|---|
| + | Two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia. |
| + | Transparent about generative AI 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. |
| - | Generative AI 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 |
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 Belitsoft?
A typical fit: augmenting an internal team with generative AI engineers on a staff-aug basis.
Twenty years of outsourcing delivery with generative AI added as a distinctly recent practice. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Fintech, E-learning.
Decision matrix: InData Labs vs Belitsoft
| 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 Belitsoft (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: InData Labs vs Belitsoft
| Use case | InData Labs fit | Belitsoft 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 | Strong | Both equally |
| Augmenting an internal team with generative AI engineers on a staff-aug basis. | Limited | Strong | Belitsoft |
| Working with an established outsourcing partner newly investing in generative AI. | Limited | Strong | Belitsoft |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | Belitsoft |
Verdict: InData Labs vs Belitsoft
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.
Belitsoft (3.9/5) is worth a look if you need working with an established outsourcing partner newly investing in generative AI. If your situation matches that, Belitsoft is a competitive option.
Related comparisons
InData Labs vs Belitsoft FAQ
Is InData Labs better than Belitsoft?
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. Belitsoft's strongest advantage: two decades of outsourcing and staff augmentation experience across Poland, Latvia, and Georgia.
How do InData Labs and Belitsoft differ in pricing?
InData Labs uses fixed project or dedicated team pricing. Belitsoft uses 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 Belitsoft?
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 InData Labs and Belitsoft?
InData Labs's primary differentiator is: data-science-first heritage predating the generative AI branding wave. Belitsoft's primary differentiator is: twenty years of outsourcing delivery with generative AI added as a distinctly recent practice. They also differ in team size (51-200 vs 250-400), 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.