InData Labs vs LeewayHertz: full comparison for 2026
Quick verdict
InData Labs (4.1/5) edges ahead of LeewayHertz (3.6/5) overall. InData Labs is the better choice for mid-sized companies adding data scientists to product teams. LeewayHertz is the stronger option for hackett Group clients adding GenAI developers. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs LeewayHertz: head-to-head summary
| Criterion | InData Labs | LeewayHertz |
|---|---|---|
| Founded | 2014 | 2007 |
| HQ | Nicosia, Cyprus | San Francisco, California, USA |
| Team size | 50–249 | 100–250 (sources vary) |
| Rating | 4.1 / 5 | 3.6 / 5 |
| Primary differentiator | A data-science-only firm small enough that senior staff stay involved | GenAI app development backed by a public consulting parent |
| Pricing model | Time and materials; dedicated engineers; rates on request | Project pricing and hire-a-developer rates; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, LangChain, OpenAI |
| Industries served | Retail & e-commerce, Healthcare & life sciences, Financial services, Media | Financial services, Retail & e-commerce, Software & SaaS |
InData Labs vs LeewayHertz: overview
InData Labs
InData Labs was founded in 2014 and is headquartered in Nicosia, Cyprus, with additional locations including Vilnius and Miami. Most directories put its headcount below 250 people. The company works only on data science and AI, covering predictive analytics, NLP, computer vision and generative AI, and it supplies engineers to client teams as well as delivering projects.
LeewayHertz
LeewayHertz was founded in 2007 and lists a San Francisco address, with much of its staff in India. Headcount estimates range from roughly 60 to 500. The Hackett Group acquired it in September 2024 for $7.8 million in purchase consideration, according to Hackett's SEC filings, and the two set up a joint venture called ZBrain XPLR. Its main business is building GenAI applications, and it hires out engineers as a secondary service.
Services and capabilities: InData Labs vs LeewayHertz
| Capability | InData Labs | LeewayHertz |
|---|---|---|
| LLM / GenAI engineers | ✗ | ✓ |
| MLOps & deployment | ✗ | ✗ |
| Computer vision | ✓ | ✗ |
| Data engineering | ✓ | ✗ |
| AI agent development | ✗ | ✓ |
| Fractional / part-time experts | ✗ | ✗ |
| Risk-free trial period | ✗ | ✗ |
| Nearshore time-zone overlap | ✗ | ✗ |
Tech stack comparison: InData Labs vs LeewayHertz
| Framework / platform | InData Labs | LeewayHertz |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | ✓ |
| Hugging Face | N/A | ✓ |
| OpenAI | N/A | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: InData Labs vs LeewayHertz
| Criterion | InData Labs | LeewayHertz |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated engineers, Managed delivery | Managed delivery, Full-time dedicated engineers |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: InData Labs vs LeewayHertz
| Dimension | InData Labs | LeewayHertz |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail & e-commerce, Healthcare & life sciences, Financial services | Financial services, Retail & e-commerce, Software & SaaS |
| Best use cases | Adding a computer-vision engineer to a retail analytics team, Building churn and demand models with in-house analysts | Adding a GenAI developer to a Hackett-led consulting program, Building a RAG assistant for internal documents |
| Typical project type | Full-time dedicated engineers | Managed delivery |
InData Labs vs LeewayHertz: pros and cons
| InData Labs | |
|---|---|
| + | Data science and AI are its only line of work |
| + | Experience across vision, language and predictive models |
| + | Clients deal with a small firm where senior staff stay close to the work |
| - | Headcount estimates vary widely, so confirm bench depth for your role |
| - | Limited capacity for large multi-team programs |
| - | Less visible LLM-agent work than some newer specialists |
| LeewayHertz | |
|---|---|
| + | Long experience shipping GenAI applications |
| + | Hackett ownership adds a consulting channel |
| + | Builds agents and RAG systems |
| - | Acquired by The Hackett Group in 2024, so priorities may follow the parent's consulting work |
| - | Headcount estimates vary widely |
| - | Heavy content marketing makes independent assessment harder |
Who should choose InData Labs?
A typical fit: adding a computer-vision engineer to a retail analytics team.
A data-science-only firm small enough that senior staff stay involved. Minimum engagement is not publicly disclosed. Works best with clients in Retail & e-commerce, Healthcare & life sciences, Financial services, Media.
Who should choose LeewayHertz?
A typical fit: adding a GenAI developer to a Hackett-led consulting program.
GenAI app development backed by a public consulting parent. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Retail & e-commerce, Software & SaaS.
Decision matrix: InData Labs vs LeewayHertz
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Confirm how many engineers each can staff at once |
| You want the supplier to own delivery as well as staffing | Both; InData Labs rates higher overall |
| You need one expert part-time | Neither lists part-time experts; ask about reduced hours |
| You want to test an engineer before signing for months | Neither publishes a trial; ask for a short first term |
| Your budget is at the lower end | Compare: InData Labs (Not published) vs LeewayHertz (Not published) |
| You need overlap with U.S. working hours | Neither is nearshore; agree overlap hours up front |
| You need specialist depth in a specific vertical | InData Labs |
Use case fit: InData Labs vs LeewayHertz
| Use case | InData Labs fit | LeewayHertz fit | Winner |
|---|---|---|---|
| Adding a computer-vision engineer to a retail analytics team | Strong | Strong | Both equally |
| Building churn and demand models with in-house analysts | Strong | Strong | Both equally |
| Adding a GenAI developer to a Hackett-led consulting program | Strong | Strong | Both equally |
| Building a RAG assistant for internal documents | Strong | Strong | Both equally |
Verdict: InData Labs vs LeewayHertz
InData Labs (4.1/5) is the stronger overall choice for most AI Staff Augmentation projects. A data-science-only firm small enough that senior staff stay involved.
LeewayHertz (3.6/5) is worth a look if you need building a RAG assistant for internal documents. If your situation matches that, LeewayHertz is a competitive option.
Related comparisons
InData Labs vs LeewayHertz FAQ
Is InData Labs better than LeewayHertz?
InData Labs (4.1/5) scores higher overall, but "better" depends on your use case. InData Labs's strongest advantage: data science and AI are its only line of work. LeewayHertz's strongest advantage: long experience shipping GenAI applications.
How do InData Labs and LeewayHertz differ in pricing?
InData Labs uses time and materials; dedicated engineers; rates on request pricing. LeewayHertz uses project pricing and hire-a-developer rates; rates on request 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 LeewayHertz?
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 InData Labs and LeewayHertz?
InData Labs's primary differentiator is: a data-science-only firm small enough that senior staff stay involved. LeewayHertz's primary differentiator is: GenAI app development backed by a public consulting parent. They also differ in team size (50–249 vs 100–250 (sources vary)), minimum engagement (Not published vs Not published), and primary industries served (Retail & e-commerce, Healthcare & life sciences vs Financial services, Retail & e-commerce).
Verify all details directly with each company before making a decision.