nCube vs LeewayHertz: full comparison for 2026
Quick verdict
nCube (3.9/5) edges ahead of LeewayHertz (3.6/5) overall. nCube is the better choice for companies building a long-term offshore AI team. 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.
nCube vs LeewayHertz: head-to-head summary
| Criterion | nCube | LeewayHertz |
|---|---|---|
| Founded | 2008 | 2007 |
| HQ | London, UK | San Francisco, California, USA |
| Team size | 50–249 staff; large external talent pool (per company) | 100–250 (sources vary) |
| Rating | 3.9 / 5 | 3.6 / 5 |
| Primary differentiator | Builds and runs a client-branded R&D team, including HR and office setup | GenAI app development backed by a public consulting parent |
| Pricing model | Monthly per-engineer team pricing; free vetting until candidates are chosen; 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 | Software & SaaS, Media, Financial services, Manufacturing | Financial services, Retail & e-commerce, Software & SaaS |
nCube vs LeewayHertz: overview
nCube
nCube was founded in 2008 and is registered in London, with its core R&D office in Kyiv and development offices in Warsaw and São Paulo. It builds dedicated teams and nearshore R&D centers, handling hiring, payroll, legal and HR for the client. The company says it can show first AI candidate profiles within 48 hours and build a team in two to six weeks, drawing on a pool of more than 50,000 AI, ML and data specialists (per company website; independently unverifiable). Named AI clients include Veritone and Fetch.ai.
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: nCube vs LeewayHertz
| Capability | nCube | 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: nCube vs LeewayHertz
| Framework / platform | nCube | 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 |
Pricing comparison: nCube vs LeewayHertz
| Criterion | nCube | LeewayHertz |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Dedicated team, Full-time dedicated engineers | Managed delivery, Full-time dedicated engineers |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: nCube vs LeewayHertz
| Dimension | nCube | LeewayHertz |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Software & SaaS, Media, Financial services | Financial services, Retail & e-commerce, Software & SaaS |
| Best use cases | Setting up a five-person ML team in Eastern Europe, Building a computer-vision team for a media analytics product | Adding a GenAI developer to a Hackett-led consulting program, Building a RAG assistant for internal documents |
| Typical project type | Dedicated team | Managed delivery |
nCube vs LeewayHertz: pros and cons
| nCube | |
|---|---|
| + | Handles the HR, payroll and legal side of a remote team |
| + | AI client list includes Veritone and Fetch.ai |
| + | Vetting is free until you pick candidates |
| - | Core team is small relative to the talent pool it advertises |
| - | Two to six weeks is slower than marketplace matching |
| - | Contract notice terms are not published |
| 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 nCube?
A typical fit: setting up a five-person ML team in Eastern Europe.
Builds and runs a client-branded R&D team, including HR and office setup. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Media, Financial services, Manufacturing.
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: nCube vs LeewayHertz
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | nCube |
| You want the supplier to own delivery as well as staffing | LeewayHertz |
| 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: nCube (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 | nCube |
Use case fit: nCube vs LeewayHertz
| Use case | nCube fit | LeewayHertz fit | Winner |
|---|---|---|---|
| Setting up a five-person ML team in Eastern Europe | Strong | Limited | nCube |
| Building a computer-vision team for a media analytics product | Strong | Strong | Both equally |
| Adding a GenAI developer to a Hackett-led consulting program | Limited | Strong | LeewayHertz |
| Building a RAG assistant for internal documents | Strong | Strong | Both equally |
Verdict: nCube vs LeewayHertz
nCube (3.9/5) is the stronger overall choice for most AI Staff Augmentation projects. Builds and runs a client-branded R&D team, including HR and office setup.
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
nCube vs LeewayHertz FAQ
Is nCube better than LeewayHertz?
nCube (3.9/5) scores higher overall, but "better" depends on your use case. nCube's strongest advantage: handles the HR, payroll and legal side of a remote team. LeewayHertz's strongest advantage: long experience shipping GenAI applications.
How do nCube and LeewayHertz differ in pricing?
nCube uses monthly per-engineer team pricing; free vetting until candidates are chosen; 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: nCube 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 nCube and LeewayHertz?
nCube's primary differentiator is: builds and runs a client-branded R&D team, including HR and office setup. LeewayHertz's primary differentiator is: GenAI app development backed by a public consulting parent. They also differ in team size (50–249 staff; large external talent pool (per company) vs 100–250 (sources vary)), minimum engagement (Not published vs Not published), and primary industries served (Software & SaaS, Media vs Financial services, Retail & e-commerce).
Verify all details directly with each company before making a decision.