Azumo vs Nearsure: full comparison for 2026
Quick verdict
Azumo (4.1/5) edges ahead of Nearsure (3.9/5) overall. Azumo is the better choice for nearshore LLM and NLP builds for U.S. mid-market. Nearsure is the stronger option for U.S. teams adding Latin American GenAI developers. The right choice depends on your project size, budget, and required tech stack.
Azumo vs Nearsure: head-to-head summary
| Criterion | Azumo | Nearsure |
|---|---|---|
| Founded | 2016 | 2018 |
| HQ | San Francisco, California, USA | Montevideo, Uruguay (U.S.-incorporated) |
| Team size | 100–500 (sources vary) | 500–850 (sources vary) |
| Rating | 4.1 / 5 | 3.9 / 5 |
| Primary differentiator | A nearshore team that also builds its own NLP products | Augmentation-first business model with a growing AI studio |
| Pricing model | Monthly rates for augmented engineers; dedicated teams; project pricing; rates on request | Monthly staff augmentation rates; project development; rates on request |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, LangChain, OpenAI | Python, OpenAI, AWS |
| Industries served | Healthcare & life sciences, Media, Software & SaaS, Financial services | Software & SaaS, Healthcare & life sciences, Financial services |
Azumo vs Nearsure: overview
Azumo
Azumo is headquartered in San Francisco and has built AI-driven applications since 2016, with most of its engineers in Latin America. Directory headcounts range from under 100 to several hundred people. It offers staff augmentation, dedicated teams and full product outsourcing, and it also maintains its own AI products, including an NLU toolkit. Named clients include Meta and UnitedHealth (per company website; independently unverifiable).
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.
Services and capabilities: Azumo vs Nearsure
| Capability | Azumo | Nearsure |
|---|---|---|
| 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: Azumo vs Nearsure
| Framework / platform | Azumo | Nearsure |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | ✓ | N/A |
| OpenAI | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: Azumo vs Nearsure
| Criterion | Azumo | Nearsure |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Full-time dedicated engineers, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Azumo vs Nearsure
| Dimension | Azumo | Nearsure |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare & life sciences, Media, Software & SaaS | Software & SaaS, Healthcare & life sciences, Financial services |
| Best use cases | Adding a conversational-AI engineer to a healthcare app team, Building a document-search assistant on internal knowledge | Adding a GenAI developer to a U.S. SaaS team, Staffing data engineers for a cloud migration |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
Azumo vs Nearsure: pros and cons
| Azumo | |
|---|---|
| + | Its own AI products show applied NLP experience |
| + | Latin American engineers share U.S. working hours |
| + | Flexible mix of augmentation and project delivery |
| - | Headcount reports vary widely, so ask how many AI engineers are actually on staff |
| - | Smaller bench than the large nearshore firms on this list |
| - | Founding year differs across sources (2013 or 2016) |
| 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 |
Who should choose Azumo?
A typical fit: adding a conversational-AI engineer to a healthcare app team.
A nearshore team that also builds its own NLP products. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare & life sciences, Media, Software & SaaS, Financial services.
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.
Decision matrix: Azumo vs Nearsure
| Your situation | Recommended choice |
|---|---|
| You need a dedicated team for a long programme | Both; Azumo rates higher overall |
| You want the supplier to own delivery as well as staffing | Azumo |
| You need one expert part-time | Neither lists part-time experts; ask about reduced hours |
| 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: Azumo (Not published) vs Nearsure (Not published) |
| You need overlap with U.S. working hours | Both; Azumo rates higher overall |
| You need specialist depth in a specific vertical | Azumo |
Use case fit: Azumo vs Nearsure
| Use case | Azumo fit | Nearsure fit | Winner |
|---|---|---|---|
| Adding a conversational-AI engineer to a healthcare app team | Strong | Strong | Both equally |
| Building a document-search assistant on internal knowledge | Strong | Limited | Azumo |
| Adding a GenAI developer to a U.S. SaaS team | Strong | Strong | Both equally |
| Staffing data engineers for a cloud migration | Limited | Strong | Nearsure |
Verdict: Azumo vs Nearsure
Azumo (4.1/5) is the stronger overall choice for most AI Staff Augmentation projects. A nearshore team that also builds its own NLP products.
Nearsure (3.9/5) is worth a look if you need staffing data engineers for a cloud migration. If your situation matches that, Nearsure is a competitive option.
Related comparisons
Azumo vs Nearsure FAQ
Is Azumo better than Nearsure?
Azumo (4.1/5) scores higher overall, but "better" depends on your use case. Azumo's strongest advantage: its own AI products show applied NLP experience. Nearsure's strongest advantage: staff augmentation is the main business, so processes are built around it.
How do Azumo and Nearsure differ in pricing?
Azumo uses monthly rates for augmented engineers; dedicated teams; project pricing; rates on request pricing. Nearsure uses monthly staff augmentation rates; project development; 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: Azumo or Nearsure?
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 Azumo and Nearsure?
Azumo's primary differentiator is: a nearshore team that also builds its own NLP products. Nearsure's primary differentiator is: augmentation-first business model with a growing AI studio. They also differ in team size (100–500 (sources vary) vs 500–850 (sources vary)), minimum engagement (Not published vs Not published), and primary industries served (Healthcare & life sciences, Media vs Software & SaaS, Healthcare & life sciences).
Verify all details directly with each company before making a decision.