Revelo vs Mobilunity: full comparison for 2026
Quick verdict
Revelo (3.8/5) edges ahead of Mobilunity (3.7/5) overall. Revelo is the better choice for hiring Latin American developers through a marketplace. Mobilunity is the stronger option for budget-conscious teams hiring one dedicated developer. The right choice depends on your project size, budget, and required tech stack.
Revelo vs Mobilunity: head-to-head summary
| Criterion | Revelo | Mobilunity |
|---|---|---|
| Founded | 2014 | 2010 |
| HQ | São Paulo, Brazil | Kyiv, Ukraine |
| Team size | 400,000+ developer network (per company) | Not disclosed |
| Rating | 3.8 / 5 | 3.7 / 5 |
| Primary differentiator | A very large Latin American pool with payroll and compliance included | Lowest published rate band among the companies reviewed |
| Pricing model | Marketplace placement with monthly billing; rates on request | Monthly dedicated developer rates; part-time consulting; $25–$49/hr (directory average) |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, OpenAI, Hugging Face | Python, TensorFlow, AWS |
| Industries served | Software & SaaS, AI research labs, Financial services | Software & SaaS, Financial services, Retail & e-commerce |
Revelo vs Mobilunity: 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.
Mobilunity
Mobilunity was founded in 2010 and is headquartered in Kyiv, Ukraine. It provides dedicated development teams and part-time consulting from a pool its Clutch profile describes as more than 200,000 Ukrainian specialists. Third-party directories list an average rate of $25 to $49 per hour, and Clutch reviewers describe typical projects of about $10,000 to $50,000. It has no separately advertised AI practice, so AI hires are recruited case by case.
Services and capabilities: Revelo vs Mobilunity
| Capability | Revelo | Mobilunity |
|---|---|---|
| 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 Mobilunity
| Framework / platform | Revelo | Mobilunity |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | N/A | ✓ |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Revelo vs Mobilunity
| Criterion | Revelo | Mobilunity |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated engineers | Full-time dedicated engineers, Part-time fractional experts, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Revelo vs Mobilunity
| Dimension | Revelo | Mobilunity |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Software & SaaS, AI research labs, Financial services | Software & SaaS, Financial services, Retail & e-commerce |
| Best use cases | Hiring LLM data specialists for a model-training effort, Adding a Brazilian developer to a U.S. SaaS team | Hiring one ML developer on a tight budget, Adding a part-time data consultant |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
Revelo vs Mobilunity: 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 |
| Mobilunity | |
|---|---|
| + | Lowest published rate band among the companies reviewed |
| + | Offers part-time consulting as well as full-time placements |
| + | Recruits to order for each role |
| - | No dedicated AI practice, so ML screening depends on the hire |
| - | Company headcount is not disclosed |
| - | Ukraine-only delivery may concern some procurement teams |
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 Mobilunity?
A typical fit: hiring one ML developer on a tight budget.
Lowest published rate band among the companies reviewed. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Financial services, Retail & e-commerce.
Decision matrix: Revelo vs Mobilunity
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Mobilunity |
| You want the supplier to own delivery as well as staffing | Neither offers managed delivery; you will lead the work |
| You need one expert part-time | Mobilunity |
| 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 Mobilunity (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 Mobilunity
| Use case | Revelo fit | Mobilunity fit | Winner |
|---|---|---|---|
| Hiring LLM data specialists for a model-training effort | Strong | Strong | Both equally |
| Adding a Brazilian developer to a U.S. SaaS team | Strong | Strong | Both equally |
| Hiring one ML developer on a tight budget | Strong | Strong | Both equally |
| Adding a part-time data consultant | Strong | Strong | Both equally |
Verdict: Revelo vs Mobilunity
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.
Mobilunity (3.7/5) is worth a look if you need adding a part-time data consultant. If your situation matches that, Mobilunity is a competitive option.
Related comparisons
Revelo vs Mobilunity FAQ
Is Revelo better than Mobilunity?
Revelo (3.8/5) scores higher overall, but "better" depends on your use case. Revelo's strongest advantage: very large pool across Latin America. Mobilunity's strongest advantage: lowest published rate band among the companies reviewed.
How do Revelo and Mobilunity differ in pricing?
Revelo uses marketplace placement with monthly billing; rates on request pricing. Mobilunity uses monthly dedicated developer rates; part-time consulting; $25–$49/hr (directory average) pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Revelo or Mobilunity?
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 Mobilunity?
Revelo's primary differentiator is: a very large Latin American pool with payroll and compliance included. Mobilunity's primary differentiator is: lowest published rate band among the companies reviewed. They also differ in team size (400,000+ developer network (per company) vs Not disclosed), minimum engagement (Not published vs Not published), and primary industries served (Software & SaaS, AI research labs vs Software & SaaS, Financial services).
Verify all details directly with each company before making a decision.