Azumo vs Revelo: full comparison for 2026
Quick verdict
Azumo (4.5/5) edges ahead of Revelo (3.9/5) overall. Azumo is the better choice for startups adding GenAI engineers on U.S. hours. Revelo is the stronger option for companies hiring LatAm developers without a local entity. The right choice depends on your project size, budget, and required tech stack.
Azumo vs Revelo: head-to-head summary
| Criterion | Azumo | Revelo |
|---|---|---|
| Founded | 2016 | 2014 |
| HQ | San Francisco, USA | Miami, Florida, USA |
| Team size | 100–249 | 251–500 |
| Rating | 4.5 / 5 | 3.9 / 5 |
| Primary differentiator | Nearshore staffing with a hiring focus on GenAI and agent roles | Payroll and compliance handled for LatAm hires |
| Pricing model | Monthly per engineer; dedicated team; project-based; rates on request | Monthly per developer including payroll and compliance; rates on request |
| Min. engagement | Not disclosed | Not disclosed |
| Primary tech stack | OpenAI, LangChain, Hugging Face | Python, OpenAI, AWS |
| Industries served | SaaS, Fintech, Healthcare, Media | SaaS, Fintech, E-commerce, AI labs |
Azumo vs Revelo: overview
Azumo
Azumo was founded in San Francisco in 2016 by former investment banker Chike Agbai, whose first client was Twitter. Its engineers are based in more than 20 Latin American countries and work U.S. hours. The company sells three formats: staff augmentation alongside an existing team, dedicated teams, and project delivery, and its recent hiring is weighted toward generative-AI, agent and forward-deployed engineering roles. Headcount estimates range from about 80 to just over 100 depending on the source.
Revelo
Revelo traces its start to late 2014 and is headquartered in Miami, with 251–500 employees according to one directory. It runs a platform of more than 400,000 Latin American developers and handles sourcing, compliance, local payroll and benefits, so clients can hire individuals or whole teams without opening a local entity. It has also moved into LLM post-training work, supplying developers for supervised fine-tuning and RLHF projects. It has raised more than $48 million from investors including Social Capital and Valor Capital Group.
Services and capabilities: Azumo vs Revelo
| Capability | Azumo | Revelo |
|---|---|---|
| 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: Azumo vs Revelo
| Framework / platform | Azumo | Revelo |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | ✓ | N/A |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Azumo vs Revelo
| Criterion | Azumo | Revelo |
|---|---|---|
| Minimum engagement | Not disclosed | Not disclosed |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Full-time dedicated engineers, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Azumo vs Revelo
| Dimension | Azumo | Revelo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, Healthcare | SaaS, Fintech, E-commerce |
| Best use cases | Adding an LLM engineer to ship a first GenAI feature, Hiring an agent developer to prototype internal automation | Hiring a full-time LatAm developer with payroll handled, Staffing LLM post-training projects |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
Azumo vs Revelo: pros and cons
| Azumo | |
|---|---|
| + | Hiring pattern shows real investment in LLM and agent engineering, beyond generic web developers |
| + | No long-term commitment required for augmentation seats |
| + | U.S. time zones and a U.S.-based management team |
| + | Small enough that founders and senior staff stay involved in client accounts |
| - | Headcount is modest, so very large teams may take longer to assemble |
| - | Public detail on how candidates are technically screened is thin |
| - | No published rates |
| Revelo | |
|---|---|
| + | Removes the legal and payroll work of hiring in Latin America |
| + | Large candidate pool |
| + | Experience supplying engineers for LLM training work |
| - | Platform model means vetting is lighter than at engineering agencies |
| - | AI focus leans toward LLM training data over product engineering |
| - | Pricing requires a call |
Who should choose Azumo?
A typical fit: adding an LLM engineer to ship a first GenAI feature.
Nearshore staffing with a hiring focus on GenAI and agent roles. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, Healthcare, Media.
Who should choose Revelo?
A typical fit: hiring a full-time LatAm developer with payroll handled.
Payroll and compliance handled for LatAm hires. Minimum engagement is not publicly disclosed. Works best with clients in SaaS, Fintech, E-commerce, AI labs.
Decision matrix: Azumo vs Revelo
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Azumo |
| Your budget is at the lower end | Compare: Azumo (Not disclosed) vs Revelo (Not disclosed) |
| You need specialist depth in a specific vertical | Azumo |
| 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: Azumo vs Revelo
| Use case | Azumo fit | Revelo fit | Winner |
|---|---|---|---|
| Adding an LLM engineer to ship a first GenAI feature | Strong | Limited | Azumo |
| Hiring an agent developer to prototype internal automation | Strong | Strong | Both equally |
| Hiring a full-time LatAm developer with payroll handled | Strong | Strong | Both equally |
| Staffing LLM post-training projects | Limited | Strong | Revelo |
Verdict: Azumo vs Revelo
Azumo (4.5/5) is the stronger overall choice for most AI Staffing projects. Nearshore staffing with a hiring focus on GenAI and agent roles.
Revelo (3.9/5) is worth a look if you need staffing LLM post-training projects. If your situation matches that, Revelo is a competitive option.
Related comparisons
Azumo vs Revelo FAQ
Is Azumo better than Revelo?
Azumo (4.5/5) scores higher overall, but "better" depends on your use case. Azumo's strongest advantage: hiring pattern shows real investment in LLM and agent engineering, beyond generic web developers. Revelo's strongest advantage: removes the legal and payroll work of hiring in Latin America.
How do Azumo and Revelo differ in pricing?
Azumo uses monthly per engineer; dedicated team; project-based; rates on request pricing. Revelo uses monthly per developer including payroll and compliance; 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: Azumo or Revelo?
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 agency before shortlisting.
What are the main differences between Azumo and Revelo?
Azumo's primary differentiator is: nearshore staffing with a hiring focus on GenAI and agent roles. Revelo's primary differentiator is: payroll and compliance handled for LatAm hires. They also differ in team size (100–249 vs 251–500), minimum engagement (Not disclosed vs Not disclosed), and primary industries served (SaaS, Fintech vs SaaS, Fintech).
Verify all details directly with each agency before making a decision.