Tensorway vs LeewayHertz: full comparison for 2026
Quick verdict
Tensorway (4.4/5) edges ahead of LeewayHertz (3.6/5) overall. Tensorway is the better choice for product teams adding senior AI specialists without vendor lock-in. 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.
Tensorway vs LeewayHertz: head-to-head summary
| Criterion | Tensorway | LeewayHertz |
|---|---|---|
| Founded | 2019 | 2007 |
| HQ | Alicante, Spain | San Francisco, California, USA |
| Team size | 50–249 | 100–250 (sources vary) |
| Rating | 4.4 / 5 | 3.6 / 5 |
| Primary differentiator | Senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories | GenAI app development backed by a public consulting parent |
| Pricing model | Monthly rate for full-time dedicated engineers; hourly or weekly billing for part-time fractional experts; two-week trial sprint; rate card on request | Project pricing and hire-a-developer rates; rates on request |
| Min. engagement | Not disclosed | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, LangChain, OpenAI |
| Industries served | Financial services, Software & SaaS, Healthcare & life sciences, Logistics, Manufacturing | Financial services, Retail & e-commerce, Software & SaaS |
Tensorway vs LeewayHertz: overview
Tensorway
Tensorway, founded in 2019 and based in Alicante, Spain, supplies AI engineers who join a client's own team and work inside its Slack, Jira and version control under its coding standards. The firm has more than 20 years of software engineering practice behind its delivery methods. Its central promise concerns ownership: code, documentation and trained models stay in the client's repositories, and knowledge transfer to in-house staff is part of every engagement (per company website; independently unverifiable). Available roles include LLM engineers, RAG specialists, MLOps architects, computer-vision and NLP engineers, with teams usually starting as a squad of two to five. In one published case, a U.S. trading platform serving more than 100,000 investors reports 40% faster market-data processing and 35% lower operating costs (per company website; independently unverifiable).
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: Tensorway vs LeewayHertz
| Capability | Tensorway | 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: Tensorway vs LeewayHertz
| Framework / platform | Tensorway | LeewayHertz |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | ✓ |
| Hugging Face | ✓ | ✓ |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Databricks | N/A | N/A |
| MLflow | ✓ | N/A |
| Kubernetes | ✓ | N/A |
Pricing comparison: Tensorway vs LeewayHertz
| Criterion | Tensorway | LeewayHertz |
|---|---|---|
| Minimum engagement | Not disclosed | Not published |
| Engagement models | Full-time dedicated engineers, Part-time fractional experts, Trial period | Managed delivery, Full-time dedicated engineers |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Tensorway vs LeewayHertz
| Dimension | Tensorway | LeewayHertz |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial services, Software & SaaS, Healthcare & life sciences | Financial services, Retail & e-commerce, Software & SaaS |
| Best use cases | Adding RAG and evaluation expertise to a SaaS team shipping its first LLM feature, Bringing GPU inference costs under control for a production model | 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 |
Tensorway vs LeewayHertz: pros and cons
| Tensorway | |
|---|---|
| + | Candidates pass a code review, a practical task in their specialty and a communication check run by senior AI engineers |
| + | Clients keep all code, documentation and trained models in their own repositories |
| + | First engineer typically starts in one to two weeks and a full squad in three to four (per company website; independently unverifiable) |
| + | Engineers bring GPU and inference cost control, fine-tuning and vector-database experience |
| + | Commitment is monthly and can be adjusted between sprints, with no-cost replacement for a poor fit |
| - | No public rate card, so budgeting starts with a sales call |
| - | Its bench is far smaller than EPAM's or Turing's, which limits how many engineers can start at once |
| - | Only AI and ML roles are offered, so general full-stack or QA staffing has to come from elsewhere |
| 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 Tensorway?
A typical fit: adding RAG and evaluation expertise to a SaaS team shipping its first LLM feature.
Senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories. Minimum engagement is not publicly disclosed. Works best with clients in Financial services, Software & SaaS, Healthcare & life sciences, Logistics, 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: Tensorway 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 | LeewayHertz |
| You need one expert part-time | Tensorway |
| You want to test an engineer before signing for months | Tensorway |
| Your budget is at the lower end | Compare: Tensorway (Not disclosed) 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 | Tensorway |
Use case fit: Tensorway vs LeewayHertz
| Use case | Tensorway fit | LeewayHertz fit | Winner |
|---|---|---|---|
| Adding RAG and evaluation expertise to a SaaS team shipping its first LLM feature | Strong | Strong | Both equally |
| Bringing GPU inference costs under control for a production model | Strong | Limited | Tensorway |
| Adding a GenAI developer to a Hackett-led consulting program | Strong | Strong | Both equally |
| Building a RAG assistant for internal documents | Limited | Strong | LeewayHertz |
Verdict: Tensorway vs LeewayHertz
Tensorway (4.4/5) is the stronger overall choice for most AI Staff Augmentation projects. Senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories.
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
Tensorway vs LeewayHertz FAQ
Is Tensorway better than LeewayHertz?
Tensorway (4.4/5) scores higher overall, but "better" depends on your use case. Tensorway's strongest advantage: candidates pass a code review, a practical task in their specialty and a communication check run by senior AI engineers. LeewayHertz's strongest advantage: long experience shipping GenAI applications.
How do Tensorway and LeewayHertz differ in pricing?
Tensorway uses monthly rate for full-time dedicated engineers; hourly or weekly billing for part-time fractional experts; two-week trial sprint; rate card 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: Tensorway 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 Tensorway and LeewayHertz?
Tensorway's primary differentiator is: senior AI engineers run the technical screening, and every model and line of code stays in the client's repositories. 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 disclosed vs Not published), and primary industries served (Financial services, Software & SaaS vs Financial services, Retail & e-commerce).
Verify all details directly with each company before making a decision.