ITRex Group vs InData Labs: full comparison for 2026
Quick verdict
ITRex Group (4.3/5) edges ahead of InData Labs (4.1/5) overall. ITRex Group is the better choice for enterprises needing AI tied to existing data infrastructure. InData Labs is the stronger option for teams needing data science depth before an AI product build. The right choice depends on your project size, budget, and required tech stack.
ITRex Group vs InData Labs: head-to-head summary
| Criterion | ITRex Group | InData Labs |
|---|---|---|
| Founded | 2009 | 2014 |
| HQ | Santa Monica, United States | Limassol, Cyprus |
| Team size | 201-250 | 51-200 |
| Rating | 4.3 / 5 | 4.1 / 5 |
| Primary differentiator | Fifteen years pairing AI delivery with the underlying data engineering it depends on | Data-science-first practice rather than a generative-AI-branded service line |
| Pricing model | Fixed project, dedicated team, or retainer | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, TensorFlow, AWS | Python, scikit-learn, TensorFlow |
| Industries served | Healthcare, Manufacturing, Retail & e-commerce, Logistics | Retail & e-commerce, Gaming, Fintech, Healthcare |
ITRex Group vs InData Labs: overview
ITRex Group
ITRex was founded in 2009 and operates out of Southern California, with public employee counts ranging from about 221 to 250-plus across three continents depending on the source. The firm works across artificial intelligence, data analytics, and cloud computing for enterprise clients rather than treating AI as a standalone product line, which shows up in how its case studies mix AI delivery with broader data infrastructure work. That breadth is a trade-off: buyers get a partner comfortable with the surrounding data plumbing an AI system needs, not just the model itself.
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. Employee figures vary from roughly 65 to 200 across different trackers, which is common for firms that mix core staff with project-based contractors. The company's practice centers on data science consulting: predictive analytics, natural language processing, computer vision, and big data analytics, positioned as a data-first alternative to firms that lead with generative AI branding.
Services and capabilities: ITRex Group vs InData Labs
| Capability | ITRex Group | InData Labs |
|---|---|---|
| Generative AI | ✗ | ✗ |
| Machine learning | ✓ | ✓ |
| AI agents | ✗ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✓ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: ITRex Group vs InData Labs
| Framework / platform | ITRex Group | InData Labs |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | N/A | N/A |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: ITRex Group vs InData Labs
| Criterion | ITRex Group | InData Labs |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team, Retainer | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: ITRex Group vs InData Labs
| Dimension | ITRex Group | InData Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Manufacturing, Retail & e-commerce | Retail & e-commerce, Gaming, Fintech |
| Best use cases | Modernizing a legacy data warehouse into something an AI model can actually train on., Running an AI pilot that needs to plug into existing enterprise cloud infrastructure. | Building predictive models from an existing data warehouse or event stream., Adding computer vision to a product that already generates image or video data. |
| Typical project type | Fixed project | Fixed project |
ITRex Group vs InData Labs: pros and cons
| ITRex Group | |
|---|---|
| + | Combines AI delivery with the data engineering work most AI projects actually need first. |
| + | Fifteen-plus years of operating history across three continents. |
| + | Enterprise client base gives the team practice navigating procurement and compliance cycles. |
| + | Cloud partnerships across both AWS and Azure reduce platform lock-in for clients. |
| - | Broader data-and-cloud focus means AI is one specialty among several, not the sole business |
| - | Employee counts differ meaningfully across public sources |
| InData Labs | |
|---|---|
| + | Founder's gaming-industry background brings real-time data experience to computer vision work. |
| + | EU-based headquarters (Cyprus) can simplify GDPR-aligned data handling for European clients. |
| + | Predictive analytics and NLP depth predate the generative AI hype cycle. |
| + | Decade-plus track record in a narrower, more defensible specialty than broad AI consulting. |
| - | Reported team size varies close to 3x across public sources |
| - | Less public-facing generative AI and LLM case work than firms built around that specifically |
Who should choose ITRex Group?
A typical fit: modernizing a legacy data warehouse into something an AI model can actually train on.
Fifteen years pairing AI delivery with the underlying data engineering it depends on. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Manufacturing, Retail & e-commerce, Logistics.
Who should choose InData Labs?
A typical fit: building predictive models from an existing data warehouse or event stream.
Data-science-first practice rather than a generative-AI-branded service line. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Gaming, Fintech, Healthcare.
Decision matrix: ITRex Group vs InData Labs
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | ITRex Group |
| You need a large dedicated team for an ongoing programme | ITRex Group |
| Your budget is at the lower end | Compare: ITRex Group (Not disclosed) vs InData Labs (Not disclosed) |
| You need specialist depth in a specific vertical | ITRex Group |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | ITRex Group |
Use case fit: ITRex Group vs InData Labs
| Use case | ITRex Group fit | InData Labs fit | Winner |
|---|---|---|---|
| Modernizing a legacy data warehouse into something an AI model can actually train on. | Strong | Limited | ITRex Group |
| Running an AI pilot that needs to plug into existing enterprise cloud infrastructure. | Strong | Strong | Both equally |
| Building predictive models from an existing data warehouse or event stream. | Limited | Strong | InData Labs |
| Adding computer vision to a product that already generates image or video data. | Limited | Strong | InData Labs |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: ITRex Group vs InData Labs
ITRex Group (4.3/5) is the stronger overall choice for most AI Development projects. Fifteen years pairing AI delivery with the underlying data engineering it depends on.
InData Labs (4.1/5) is worth a look if you need adding computer vision to a product that already generates image or video data. If your situation matches that, InData Labs is a competitive option.
Related comparisons
ITRex Group vs InData Labs FAQ
Is ITRex Group better than InData Labs?
ITRex Group (4.3/5) scores higher overall, but "better" depends on your use case. ITRex Group's strongest advantage: combines AI delivery with the data engineering work most AI projects actually need first. InData Labs's strongest advantage: Founder's gaming-industry background brings real-time data experience to computer vision work.
How do ITRex Group and InData Labs differ in pricing?
ITRex Group uses fixed project, dedicated team, or retainer 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: ITRex Group or InData Labs?
ITRex 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 ITRex Group and InData Labs?
ITRex Group's primary differentiator is: fifteen years pairing AI delivery with the underlying data engineering it depends on. InData Labs's primary differentiator is: data-science-first practice rather than a generative-AI-branded service line. They also differ in team size (201-250 vs 51-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Healthcare, Manufacturing vs Retail & e-commerce, Gaming).
Verify all details directly with each company before making a decision.