Revelo vs LeewayHertz: full comparison for 2026
Quick verdict
Revelo (3.8/5) edges ahead of LeewayHertz (3.6/5) overall. Revelo is the better choice for hiring Latin American developers through a marketplace. 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.
Revelo vs LeewayHertz: head-to-head summary
| Criterion | Revelo | LeewayHertz |
|---|---|---|
| Founded | 2014 | 2007 |
| HQ | São Paulo, Brazil | San Francisco, California, USA |
| Team size | 400,000+ developer network (per company) | 100–250 (sources vary) |
| Rating | 3.8 / 5 | 3.6 / 5 |
| Primary differentiator | A very large Latin American pool with payroll and compliance included | GenAI app development backed by a public consulting parent |
| Pricing model | Marketplace placement with monthly billing; rates on request | Project pricing and hire-a-developer rates; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, OpenAI, Hugging Face | Python, LangChain, OpenAI |
| Industries served | Software & SaaS, AI research labs, Financial services | Financial services, Retail & e-commerce, Software & SaaS |
Revelo vs LeewayHertz: overview
Revelo
Revelo was founded in late 2014 in Brazil (some sources say 2015) and began as a domestic hiring platform called Contratado. It now runs a network of more than 400,000 Latin American developers and handles hiring and payment for U.S. customers. TechCrunch reported that work on foundation models made up 22% of Revelo's revenue in 2024. Revelo is a marketplace, so engineers are matched through its platform rather than employed in a delivery center.
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: Revelo vs LeewayHertz
| Capability | Revelo | 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: Revelo vs LeewayHertz
| Framework / platform | Revelo | LeewayHertz |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | N/A | ✓ |
| Hugging Face | ✓ | ✓ |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | N/A | N/A |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Revelo vs LeewayHertz
| Criterion | Revelo | LeewayHertz |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | 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: Revelo vs LeewayHertz
| Dimension | Revelo | LeewayHertz |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Software & SaaS, AI research labs, Financial services | Financial services, Retail & e-commerce, Software & SaaS |
| Best use cases | Hiring LLM data specialists for a model-training effort, Adding a Brazilian developer to a U.S. SaaS team | 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 |
Revelo vs LeewayHertz: pros and cons
| Revelo | |
|---|---|
| + | Very large pool across Latin America |
| + | Handles hiring, payroll and compliance |
| + | Foundation-model work gives some engineers LLM training experience |
| - | Marketplace matching means quality varies by candidate |
| - | Founding year is reported as both 2014 and 2015 |
| - | Less hands-on management than employer-based firms |
| 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 Revelo?
A typical fit: hiring LLM data specialists for a model-training effort.
A very large Latin American pool with payroll and compliance included. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, AI research labs, Financial services.
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: Revelo 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 | 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: Revelo (Not published) vs LeewayHertz (Not published) |
| You need overlap with U.S. working hours | Revelo |
| You need specialist depth in a specific vertical | Revelo |
Use case fit: Revelo vs LeewayHertz
| Use case | Revelo fit | LeewayHertz fit | Winner |
|---|---|---|---|
| Hiring LLM data specialists for a model-training effort | Strong | Limited | Revelo |
| Adding a Brazilian developer to a U.S. SaaS team | 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 | Limited | Strong | LeewayHertz |
Verdict: Revelo vs LeewayHertz
Revelo (3.8/5) is the stronger overall choice for most AI Staff Augmentation projects. A very large Latin American pool with payroll and compliance included.
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
Revelo vs LeewayHertz FAQ
Is Revelo better than LeewayHertz?
Revelo (3.8/5) scores higher overall, but "better" depends on your use case. Revelo's strongest advantage: very large pool across Latin America. LeewayHertz's strongest advantage: long experience shipping GenAI applications.
How do Revelo and LeewayHertz differ in pricing?
Revelo uses marketplace placement with monthly billing; 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: Revelo or LeewayHertz?
Revelo 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 Revelo and LeewayHertz?
Revelo's primary differentiator is: a very large Latin American pool with payroll and compliance included. LeewayHertz's primary differentiator is: GenAI app development backed by a public consulting parent. They also differ in team size (400,000+ developer network (per company) vs 100–250 (sources vary)), minimum engagement (Not published vs Not published), and primary industries served (Software & SaaS, AI research labs vs Financial services, Retail & e-commerce).
Verify all details directly with each company before making a decision.