LeewayHertz vs InData Labs: full comparison for 2026
Quick verdict
LeewayHertz (4.1/5) edges ahead of InData Labs (4.1/5) overall. LeewayHertz is the better choice for buyers wanting broad AI service coverage under one roof. 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.
LeewayHertz vs InData Labs: head-to-head summary
| Criterion | LeewayHertz | InData Labs |
|---|---|---|
| Founded | 2007 | 2014 |
| HQ | San Francisco, United States | Limassol, Cyprus |
| Team size | 150-300 | 51-200 |
| Rating | 4.1 / 5 | 4.1 / 5 |
| Primary differentiator | Backed by The Hackett Group's consulting and benchmarking network post-acquisition | Data-science-first practice rather than a generative-AI-branded service line |
| Pricing model | Fixed project or dedicated team | Fixed project or dedicated team |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | Python, PyTorch, OpenAI API | Python, scikit-learn, TensorFlow |
| Industries served | Financial services, Healthcare, Retail & e-commerce, Manufacturing | Retail & e-commerce, Gaming, Fintech, Healthcare |
LeewayHertz vs InData Labs: overview
LeewayHertz
LeewayHertz was founded in 2007 and is based in San Francisco. The Hackett Group acquired the company in September 2024, which changes its ownership structure and long-term strategic direction compared to the independently-run firms elsewhere on this list. Public employee counts have moved in different directions depending on the source and date, from roughly 300 in earlier reporting down to about 182 by mid-2026, which is worth factoring in given how much marketing content the company publishes relative to its verified team size.
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: LeewayHertz vs InData Labs
| Capability | LeewayHertz | InData Labs |
|---|---|---|
| Generative AI | ✓ | ✗ |
| Machine learning | ✓ | ✓ |
| AI agents | ✓ | ✗ |
| MLOps | ✗ | ✗ |
| AI consulting | ✗ | ✗ |
| Fixed-price projects | ✓ | ✓ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: LeewayHertz vs InData Labs
| Framework / platform | LeewayHertz | InData Labs |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| TensorFlow | N/A | ✓ |
| LangChain | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: LeewayHertz vs InData Labs
| Criterion | LeewayHertz | InData Labs |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Fixed project, Dedicated team | Fixed project, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: LeewayHertz vs InData Labs
| Dimension | LeewayHertz | InData Labs |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Healthcare, Retail & e-commerce | Retail & e-commerce, Gaming, Fintech |
| Best use cases | Consolidating multiple AI initiatives (agents, generative AI, ML) under one vendor relationship., Working with a firm now backed by a larger consulting parent for enterprise credibility. | 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 |
LeewayHertz vs InData Labs: pros and cons
| LeewayHertz | |
|---|---|
| + | Wide service coverage across generative AI, ML, and AI agents under a single vendor. |
| + | The Hackett Group acquisition adds access to a larger consulting and benchmarking network. |
| + | Nearly two decades of operating history predating the current AI cycle. |
| + | High volume of published technical content makes its approach easy to evaluate before signing. |
| - | Acquired by The Hackett Group in 2024, so long-term positioning may shift under new ownership |
| - | Reported headcount has dropped by roughly half across recent public data, worth confirming directly before assuming current team size |
| 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 LeewayHertz?
A typical fit: consolidating multiple AI initiatives (agents, generative AI, ML) under one vendor relationship.
Backed by The Hackett Group's consulting and benchmarking network post-acquisition. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Healthcare, Retail & e-commerce, Manufacturing.
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: LeewayHertz vs InData Labs
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | LeewayHertz |
| You need a large dedicated team for an ongoing programme | LeewayHertz |
| Your budget is at the lower end | Compare: LeewayHertz (Not disclosed) vs InData Labs (Not disclosed) |
| You need specialist depth in a specific vertical | LeewayHertz |
| 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: LeewayHertz vs InData Labs
| Use case | LeewayHertz fit | InData Labs fit | Winner |
|---|---|---|---|
| Consolidating multiple AI initiatives (agents, generative AI, ML) under one vendor relationship. | Strong | Limited | LeewayHertz |
| Working with a firm now backed by a larger consulting parent for enterprise credibility. | Strong | Limited | LeewayHertz |
| 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: LeewayHertz vs InData Labs
LeewayHertz (4.1/5) is the stronger overall choice for most AI Development projects. Backed by The Hackett Group's consulting and benchmarking network post-acquisition.
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
LeewayHertz vs InData Labs FAQ
Is LeewayHertz better than InData Labs?
LeewayHertz (4.1/5) scores higher overall, but "better" depends on your use case. LeewayHertz's strongest advantage: wide service coverage across generative AI, ML, and AI agents under a single vendor. InData Labs's strongest advantage: Founder's gaming-industry background brings real-time data experience to computer vision work.
How do LeewayHertz and InData Labs differ in pricing?
LeewayHertz uses fixed project or dedicated team 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: LeewayHertz or InData Labs?
LeewayHertz 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 LeewayHertz and InData Labs?
LeewayHertz's primary differentiator is: backed by The Hackett Group's consulting and benchmarking network post-acquisition. InData Labs's primary differentiator is: data-science-first practice rather than a generative-AI-branded service line. They also differ in team size (150-300 vs 51-200), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (Financial services, Healthcare vs Retail & e-commerce, Gaming).
Verify all details directly with each company before making a decision.