Azumo vs Revelo: full comparison for 2026
Quick verdict
Azumo (4.3/5) edges ahead of Revelo (4.0/5) overall. Azumo is the better choice for U.S. buyers who need the lowest published rate with same-day overlap. Revelo is the stronger option for U.S. companies that want a Latin American AI engineer without upfront fees or a long contract. 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, California, USA | Miami, Florida, USA |
| Team size | 50–249 | 400,000+ network (company figure) |
| Rating | 4.3 / 5 | 4.0 / 5 |
| Primary differentiator | A $25–$49 Clutch band with engineers working U.S. hours | No upfront fees, no long-term contract and published salary benchmarks |
| Pricing model | $25–$49/hr (Clutch band); staff augmentation or dedicated team; no long-term commitment (per company) | Monthly per engineer; no upfront fees or long-term contracts (per company); senior AI/ML all-in cost about $103,000/yr (company benchmark) |
| Min. engagement | $10,000+ | Not published |
| Primary tech stack | Python, PyTorch, OpenAI | Python, PyTorch, TensorFlow |
| Industries served | SaaS, Fintech, Healthcare, Retail, Media | Technology, Fintech, SaaS, Healthcare, AI labs |
Azumo vs Revelo: overview
Azumo
Azumo was founded in 2016, is headquartered in San Francisco and delivers mostly from Argentina, including an office in Rosario. On Clutch its hourly band is $25 to $49, with a $10,000 minimum project, which makes it the cheapest provider on this page that publishes a figure. You can buy single engineers through staff augmentation, a dedicated nearshore team or virtual CTO services, all without a long-term commitment, according to its site. AI is one of several practices, so check the experience of each engineer you are offered.
Revelo
Revelo started in 2014 (one listing says 2015) and has a U.S. base in Miami and operations in São Paulo. It places engineers from a Latin American network it puts at over 400,000, and its platform pages promise no upfront fees and no long-term contracts. Revelo also publishes salary benchmarks. Its figure for a senior AI or ML engineer is about $103,000 a year all-in, roughly 55% below a comparable U.S. hire. LLM training work made up 22% of its 2024 revenue, according to TechCrunch.
Services and capabilities: Azumo vs Revelo
| Capability | Azumo | Revelo |
|---|---|---|
| Full-time dedicated engineers | ✓ | ✓ |
| Part-time / fractional experts | ✗ | ✗ |
| Dedicated team | ✓ | ✗ |
| Trial before commitment | ✗ | ✗ |
| Published rates | ✓ | ✗ |
| Direct hire option | ✗ | ✗ |
| Subscription or output-based pricing | ✗ | ✗ |
| Nearshore time-zone overlap | ✓ | ✓ |
| LLM / GenAI engineers | ✓ | ✓ |
| MLOps | ✗ | ✗ |
| Computer vision | ✗ | ✗ |
| Data engineering | ✗ | ✗ |
Tech stack comparison: Azumo vs Revelo
| Framework / platform | Azumo | Revelo |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | ✓ | ✓ |
| Databricks | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Azumo vs Revelo
| Criterion | Azumo | Revelo |
|---|---|---|
| Minimum engagement | $10,000+ | Not published |
| Engagement models | Full-time dedicated, Dedicated team, Project delivery | Full-time dedicated, Freelance contract |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | 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 | Technology, Fintech, SaaS |
| Best use cases | Adding a nearshore LLM engineer on a startup budget, Building a chatbot squad that joins U.S. stand-ups | Hiring a Brazilian ML engineer without a long contract, Budgeting a nearshore AI team from published salary data |
| Typical project type | Full-time dedicated | Full-time dedicated |
Azumo vs Revelo: pros and cons
| Azumo | |
|---|---|
| + | Lowest published band on this list |
| + | U.S. time-zone overlap |
| + | No long-term commitment required |
| - | AI is one practice among several |
| - | Fewer research-grade ML specialists |
| - | Headcount varies widely by source |
| Revelo | |
|---|---|
| + | No upfront fee or long-term contract |
| + | Published salary benchmarks help with budgeting |
| + | Large Latin American network on U.S. hours |
| - | Part of revenue comes from AI-lab training work |
| - | Salary figures come from Revelo itself |
| - | Founding year and headquarters differ by source |
Who should choose Azumo?
A typical fit: adding a nearshore LLM engineer on a startup budget.
A $25–$49 Clutch band with engineers working U.S. hours. Minimum engagement starts at $10,000+. Works best with clients in SaaS, Fintech, Healthcare, Retail, Media.
Who should choose Revelo?
A typical fit: hiring a Brazilian ML engineer without a long contract.
No upfront fees, no long-term contract and published salary benchmarks. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Fintech, SaaS, Healthcare, AI labs.
Decision matrix: Azumo vs Revelo
| Your situation | Recommended choice |
|---|---|
| You want one engineer full-time on a monthly contract | Both; Azumo rates higher overall |
| You only need a specialist a few days a week | Neither advertises part-time experts; ask about reduced hours |
| You want to test an engineer before committing | Neither publishes a trial; negotiate a short first term |
| You need a rate before the first call | Azumo |
| Your budget is at the lower end | Compare: Azumo ($10,000+) vs Revelo (Not published) |
| You may want to hire the engineer permanently later | Neither lists direct hire; agree conversion terms up front |
| You want several engineers working as one team | Azumo |
Use case fit: Azumo vs Revelo
| Use case | Azumo fit | Revelo fit | Winner |
|---|---|---|---|
| Adding a nearshore LLM engineer on a startup budget | Strong | Strong | Both equally |
| Building a chatbot squad that joins U.S. stand-ups | Strong | Limited | Azumo |
| Hiring a Brazilian ML engineer without a long contract | Limited | Strong | Revelo |
| Budgeting a nearshore AI team from published salary data | Limited | Strong | Revelo |
Verdict: Azumo vs Revelo
Azumo (4.3/5) is the stronger overall choice for most AI Staff Augmentation projects. A $25–$49 Clutch band with engineers working U.S. hours.
Revelo (4.0/5) is worth a look if you need budgeting a nearshore AI team from published salary data. If your situation matches that, Revelo is a competitive option.
Related comparisons
Azumo vs Revelo FAQ
Is Azumo better than Revelo?
Azumo (4.3/5) scores higher overall, but "better" depends on your use case. Azumo's strongest advantage: lowest published band on this list. Revelo's strongest advantage: no upfront fee or long-term contract.
How do Azumo and Revelo differ in pricing?
Azumo uses $25–$49/hr (clutch band); staff augmentation or dedicated team; no long-term commitment (per company) pricing with a minimum engagement of $10,000+. Revelo uses monthly per engineer; no upfront fees or long-term contracts (per company); senior ai/ml all-in cost about $103,000/yr (company benchmark) 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 provider before shortlisting.
What are the main differences between Azumo and Revelo?
Azumo's primary differentiator is: a $25–$49 Clutch band with engineers working U.S. hours. Revelo's primary differentiator is: no upfront fees, no long-term contract and published salary benchmarks. They also differ in team size (50–249 vs 400,000+ network (company figure)), minimum engagement ($10,000+ vs Not published), and primary industries served (SaaS, Fintech vs Technology, Fintech).
Verify all details directly with each provider before making a decision.