Nearsure vs Mobilunity: full comparison for 2026
Quick verdict
Nearsure (3.9/5) edges ahead of Mobilunity (3.7/5) overall. Nearsure is the better choice for U.S. teams adding Latin American GenAI developers. 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.
Nearsure vs Mobilunity: head-to-head summary
| Criterion | Nearsure | Mobilunity |
|---|---|---|
| Founded | 2018 | 2010 |
| HQ | Montevideo, Uruguay (U.S.-incorporated) | Kyiv, Ukraine |
| Team size | 500–850 (sources vary) | Not disclosed |
| Rating | 3.9 / 5 | 3.7 / 5 |
| Primary differentiator | Augmentation-first business model with a growing AI studio | Lowest published rate band among the companies reviewed |
| Pricing model | Monthly staff augmentation rates; project development; 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, AWS | Python, TensorFlow, AWS |
| Industries served | Software & SaaS, Healthcare & life sciences, Financial services | Software & SaaS, Financial services, Retail & e-commerce |
Nearsure vs Mobilunity: overview
Nearsure
Nearsure started operations in 2018 under co-founder and CEO Giuliana Corbo and is described by Bloomberg as a Uruguayan IT services company, though it is incorporated in the United States. Bloomberg reported a 2024 plan to grow to about 850 staff. Remote staff augmentation for U.S. clients is its core business, and the service list has widened to generative AI, cloud migration and Salesforce work through a Data & AI studio.
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: Nearsure vs Mobilunity
| Capability | Nearsure | 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: Nearsure vs Mobilunity
| Framework / platform | Nearsure | Mobilunity |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | ✓ |
| LangChain | N/A | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Nearsure vs Mobilunity
| Criterion | Nearsure | Mobilunity |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated engineers, Dedicated team | 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: Nearsure vs Mobilunity
| Dimension | Nearsure | Mobilunity |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Software & SaaS, Healthcare & life sciences, Financial services | Software & SaaS, Financial services, Retail & e-commerce |
| Best use cases | Adding a GenAI developer to a U.S. SaaS team, Staffing data engineers for a cloud migration | 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 |
Nearsure vs Mobilunity: pros and cons
| Nearsure | |
|---|---|
| + | Staff augmentation is the main business, so processes are built around it |
| + | Latin American engineers on U.S. hours |
| + | Has been profitable since early in its history, per AméricaEconomía |
| - | AI is a newer studio inside a general staffing company |
| - | Headcount reports vary between 525 and 850 |
| - | HQ location differs between sources |
| 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 Nearsure?
A typical fit: adding a GenAI developer to a U.S. SaaS team.
Augmentation-first business model with a growing AI studio. Minimum engagement is not publicly disclosed. Works best with clients in Software & SaaS, Healthcare & life sciences, 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: Nearsure vs Mobilunity
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Both; Nearsure rates higher overall |
| 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: Nearsure (Not published) vs Mobilunity (Not published) |
| You need overlap with U.S. working hours | Nearsure |
| You need specialist depth in a specific vertical | Nearsure |
Use case fit: Nearsure vs Mobilunity
| Use case | Nearsure fit | Mobilunity fit | Winner |
|---|---|---|---|
| Adding a GenAI developer to a U.S. SaaS team | Strong | Strong | Both equally |
| Staffing data engineers for a cloud migration | Strong | Limited | Nearsure |
| Hiring one ML developer on a tight budget | Limited | Strong | Mobilunity |
| Adding a part-time data consultant | Strong | Strong | Both equally |
Verdict: Nearsure vs Mobilunity
Nearsure (3.9/5) is the stronger overall choice for most AI Staff Augmentation projects. Augmentation-first business model with a growing AI studio.
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
Nearsure vs Mobilunity FAQ
Is Nearsure better than Mobilunity?
Nearsure (3.9/5) scores higher overall, but "better" depends on your use case. Nearsure's strongest advantage: staff augmentation is the main business, so processes are built around it. Mobilunity's strongest advantage: lowest published rate band among the companies reviewed.
How do Nearsure and Mobilunity differ in pricing?
Nearsure uses monthly staff augmentation rates; project development; 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: Nearsure or Mobilunity?
Nearsure 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 Nearsure and Mobilunity?
Nearsure's primary differentiator is: augmentation-first business model with a growing AI studio. Mobilunity's primary differentiator is: lowest published rate band among the companies reviewed. They also differ in team size (500–850 (sources vary) vs Not disclosed), minimum engagement (Not published vs Not published), and primary industries served (Software & SaaS, Healthcare & life sciences vs Software & SaaS, Financial services).
Verify all details directly with each company before making a decision.