Revelo vs BairesDev: full comparison for 2026
Quick verdict
Revelo (4.0/5) edges ahead of BairesDev (3.9/5) overall. Revelo is the better choice for U.S. companies that want a Latin American AI engineer without upfront fees or a long contract. BairesDev is the stronger option for U.S. buyers who want AI and software engineers under one nearshore contract. The right choice depends on your project size, budget, and required tech stack.
Revelo vs BairesDev: head-to-head summary
| Criterion | Revelo | BairesDev |
|---|---|---|
| Founded | 2014 | 2009 |
| HQ | Miami, Florida, USA | San Francisco, California, USA |
| Team size | 400,000+ network (company figure) | 4,000+ |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Primary differentiator | No upfront fees, no long-term contract and published salary benchmarks | One contract for mixed AI and software teams in U.S. time zones |
| Pricing model | Monthly per engineer; no upfront fees or long-term contracts (per company); senior AI/ML all-in cost about $103,000/yr (company benchmark) | Monthly per engineer or team; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, TensorFlow, PyTorch |
| Industries served | Technology, Fintech, SaaS, Healthcare, AI labs | Technology, Financial services, Healthcare, Retail, Media |
Revelo vs BairesDev: overview
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.
BairesDev
BairesDev was founded in Buenos Aires in 2009, is headquartered in San Francisco and employs several thousand engineers across Latin America. Buyers can choose staff augmentation, dedicated teams or project delivery, and the AI practice covers ML, data engineering and generative AI. It is a practical choice when one contract needs to cover AI engineers and the software developers around them. As a generalist, though, its AI depth varies by engineer, and rates are not published.
Services and capabilities: Revelo vs BairesDev
| Capability | Revelo | BairesDev |
|---|---|---|
| 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: Revelo vs BairesDev
| Framework / platform | Revelo | BairesDev |
|---|---|---|
| PyTorch | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| LangChain | N/A | 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: Revelo vs BairesDev
| Criterion | Revelo | BairesDev |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated, Freelance contract | Full-time dedicated, Dedicated team, Project delivery |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Revelo vs BairesDev
| Dimension | Revelo | BairesDev |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Technology, Fintech, SaaS | Technology, Financial services, Healthcare |
| Best use cases | Hiring a Brazilian ML engineer without a long contract, Budgeting a nearshore AI team from published salary data | Staffing a GenAI feature team with supporting developers, Adding data engineers to a nearshore program |
| Typical project type | Full-time dedicated | Full-time dedicated |
Revelo vs BairesDev: pros and cons
| 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 |
| BairesDev | |
|---|---|
| + | Large bench in U.S. time zones |
| + | Mixed AI and software teams |
| + | Mature contracting |
| - | AI depth varies |
| - | No public rates |
| - | No published trial |
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.
Who should choose BairesDev?
A typical fit: staffing a GenAI feature team with supporting developers.
One contract for mixed AI and software teams in U.S. time zones. Minimum engagement is not publicly disclosed. Works best with clients in Technology, Financial services, Healthcare, Retail, Media.
Decision matrix: Revelo vs BairesDev
| Your situation | Recommended choice |
|---|---|
| You want one engineer full-time on a monthly contract | Both; Revelo 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 | Neither publishes rates; ask both for a written rate card |
| Your budget is at the lower end | Compare: Revelo (Not published) vs BairesDev (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 | BairesDev |
Use case fit: Revelo vs BairesDev
| Use case | Revelo fit | BairesDev fit | Winner |
|---|---|---|---|
| Hiring a Brazilian ML engineer without a long contract | Strong | Limited | Revelo |
| Budgeting a nearshore AI team from published salary data | Strong | Limited | Revelo |
| Staffing a GenAI feature team with supporting developers | Limited | Strong | BairesDev |
| Adding data engineers to a nearshore program | Strong | Strong | Both equally |
Verdict: Revelo vs BairesDev
Revelo (4.0/5) is the stronger overall choice for most AI Staff Augmentation projects. No upfront fees, no long-term contract and published salary benchmarks.
BairesDev (3.9/5) is worth a look if you need adding data engineers to a nearshore program. If your situation matches that, BairesDev is a competitive option.
Related comparisons
Revelo vs BairesDev FAQ
Is Revelo better than BairesDev?
Revelo (4.0/5) scores higher overall, but "better" depends on your use case. Revelo's strongest advantage: no upfront fee or long-term contract. BairesDev's strongest advantage: large bench in U.S. time zones.
How do Revelo and BairesDev differ in pricing?
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. BairesDev uses monthly per engineer or team; 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 BairesDev?
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 Revelo and BairesDev?
Revelo's primary differentiator is: no upfront fees, no long-term contract and published salary benchmarks. BairesDev's primary differentiator is: one contract for mixed AI and software teams in U.S. time zones. They also differ in team size (400,000+ network (company figure) vs 4,000+), minimum engagement (Not published vs Not published), and primary industries served (Technology, Fintech vs Technology, Financial services).
Verify all details directly with each provider before making a decision.