Mobilunity vs Revelo: full comparison for 2026
Quick verdict
Mobilunity (4.2/5) edges ahead of Revelo (3.9/5) overall. Mobilunity is the better choice for budget-conscious teams hiring a dedicated AI developer. 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.
Mobilunity vs Revelo: head-to-head summary
| Criterion | Mobilunity | Revelo |
|---|---|---|
| Founded | 2010 | 2014 |
| HQ | Kyiv, Ukraine | Miami, Florida, USA |
| Team size | ~150 on client teams | 251–500 |
| Rating | 4.2 / 5 | 3.9 / 5 |
| Primary differentiator | Recruits each hire to your spec at one of the lower rate bands here | Payroll and compliance handled for LatAm hires |
| Pricing model | Monthly per dedicated developer; part-time consultants; $25–$49/hr (third-party directory band) | Monthly per developer including payroll and compliance; rates on request |
| Min. engagement | 1 dedicated developer | Not disclosed |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, OpenAI, AWS |
| Industries served | SaaS, Fintech, E-commerce, Healthcare | SaaS, Fintech, E-commerce, AI labs |
Mobilunity vs Revelo: overview
Mobilunity
Mobilunity was founded in 2010 in Kyiv, Ukraine, and builds dedicated development teams by recruiting engineers specifically for each client. A company-affiliated post describes about 150 people on full-time client teams, plus a pool of part-time consultants for short skill gaps. It recruits AI roles on request; one recent DOU posting sought an LLM and generative-AI data scientist on behalf of a U.S. client. Third-party directories list average rates of $25–$49 per hour.
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: Mobilunity vs Revelo
| Capability | Mobilunity | 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: Mobilunity vs Revelo
| Framework / platform | Mobilunity | Revelo |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Mobilunity vs Revelo
| Criterion | Mobilunity | Revelo |
|---|---|---|
| Minimum engagement | 1 dedicated developer | Not disclosed |
| Engagement models | Full-time dedicated engineers, Part-time fractional experts, Dedicated team | Full-time dedicated engineers, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: Mobilunity vs Revelo
| Dimension | Mobilunity | Revelo |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | SaaS, Fintech, E-commerce | SaaS, Fintech, E-commerce |
| Best use cases | Hiring one dedicated ML engineer on a tight budget, Bringing in a part-time LLM consultant for a short evaluation | 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 |
Mobilunity vs Revelo: pros and cons
| Mobilunity | |
|---|---|
| + | Hires to your exact profile instead of matching from a fixed bench |
| + | One of the lower published rate bands on this list |
| + | Part-time consultants are available for short skill gaps |
| + | Long experience with the admin side of employing Ukrainian engineers for foreign clients |
| - | Recruiting from scratch takes longer than placing an existing bench engineer |
| - | Technical screening depth depends on your own interview process |
| - | No dedicated AI practice; AI roles are recruited case by case |
| 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 Mobilunity?
A typical fit: hiring one dedicated ML engineer on a tight budget.
Recruits each hire to your spec at one of the lower rate bands here. Minimum engagement starts at 1 dedicated developer. Works best with clients in SaaS, Fintech, E-commerce, Healthcare.
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: Mobilunity 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 | Mobilunity |
| Your budget is at the lower end | Compare: Mobilunity (1 dedicated developer) vs Revelo (Not disclosed) |
| You need specialist depth in a specific vertical | Mobilunity |
| 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: Mobilunity vs Revelo
| Use case | Mobilunity fit | Revelo fit | Winner |
|---|---|---|---|
| Hiring one dedicated ML engineer on a tight budget | Strong | Strong | Both equally |
| Bringing in a part-time LLM consultant for a short evaluation | Strong | Limited | Mobilunity |
| Hiring a full-time LatAm developer with payroll handled | Strong | Strong | Both equally |
| Staffing LLM post-training projects | Limited | Strong | Revelo |
Verdict: Mobilunity vs Revelo
Mobilunity (4.2/5) is the stronger overall choice for most AI Staffing projects. Recruits each hire to your spec at one of the lower rate bands here.
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
Mobilunity vs Revelo FAQ
Is Mobilunity better than Revelo?
Mobilunity (4.2/5) scores higher overall, but "better" depends on your use case. Mobilunity's strongest advantage: hires to your exact profile instead of matching from a fixed bench. Revelo's strongest advantage: removes the legal and payroll work of hiring in Latin America.
How do Mobilunity and Revelo differ in pricing?
Mobilunity uses monthly per dedicated developer; part-time consultants; $25–$49/hr (third-party directory band) pricing with a minimum engagement of 1 dedicated developer. 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: Mobilunity 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 Mobilunity and Revelo?
Mobilunity's primary differentiator is: recruits each hire to your spec at one of the lower rate bands here. Revelo's primary differentiator is: payroll and compliance handled for LatAm hires. They also differ in team size (~150 on client teams vs 251–500), minimum engagement (1 dedicated developer vs Not disclosed), and primary industries served (SaaS, Fintech vs SaaS, Fintech).
Verify all details directly with each agency before making a decision.