Nearsure vs ScienceSoft: full comparison for 2026
Quick verdict
Nearsure (3.9/5) edges ahead of ScienceSoft (3.7/5) overall. Nearsure is the better choice for U.S. teams adding Latin American GenAI developers. ScienceSoft is the stronger option for regulated companies wanting a documented hiring process. The right choice depends on your project size, budget, and required tech stack.
Nearsure vs ScienceSoft: head-to-head summary
| Criterion | Nearsure | ScienceSoft |
|---|---|---|
| Founded | 2018 | 1989 |
| HQ | Montevideo, Uruguay (U.S.-incorporated) | McKinney, Texas, USA |
| Team size | 500–850 (sources vary) | 750+ |
| Rating | 3.9 / 5 | 3.7 / 5 |
| Primary differentiator | Augmentation-first business model with a growing AI studio | Publishes its staff augmentation timeline and process |
| Pricing model | Monthly staff augmentation rates; project development; rates on request | Hourly or monthly rates shared with CVs; time and materials |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, OpenAI, AWS | Python, Azure ML, AWS |
| Industries served | Software & SaaS, Healthcare & life sciences, Financial services | Healthcare & life sciences, Financial services, Manufacturing, Retail & e-commerce |
Nearsure vs ScienceSoft: 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.
ScienceSoft
ScienceSoft dates its IT work to 1989 and is headquartered in McKinney, Texas. It says its staff augmentation pool covers more than 750 professionals, including data scientists with long industry experience, and it publishes a fast hiring sequence: CVs with rates within a day, interviews in two to four days and starts in one to two weeks (per company website; independently unverifiable). AI is one of many service areas alongside its long-standing healthcare and finance work.
Services and capabilities: Nearsure vs ScienceSoft
| Capability | Nearsure | ScienceSoft |
|---|---|---|
| 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 ScienceSoft
| Framework / platform | Nearsure | ScienceSoft |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | 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 ScienceSoft
| Criterion | Nearsure | ScienceSoft |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Full-time dedicated engineers, Dedicated team | Full-time dedicated engineers, Dedicated team |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Nearsure vs ScienceSoft
| Dimension | Nearsure | ScienceSoft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Software & SaaS, Healthcare & life sciences, Financial services | Healthcare & life sciences, Financial services, Manufacturing |
| Best use cases | Adding a GenAI developer to a U.S. SaaS team, Staffing data engineers for a cloud migration | Adding a data scientist to a healthcare analytics team, Staffing BI and ML roles for a manufacturer |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
Nearsure vs ScienceSoft: 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 |
| ScienceSoft | |
|---|---|
| + | Shares rates together with candidate CVs |
| + | Long history in healthcare and finance |
| + | Clear published hiring timeline |
| - | AI is a small part of a very wide catalog |
| - | Fewer GenAI specialists than AI-focused firms |
| - | Speed figures come from its own marketing |
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 ScienceSoft?
A typical fit: adding a data scientist to a healthcare analytics team.
Publishes its staff augmentation timeline and process. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare & life sciences, Financial services, Manufacturing, Retail & e-commerce.
Decision matrix: Nearsure vs ScienceSoft
| 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 | 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: Nearsure (Not published) vs ScienceSoft (Not published) |
| You need overlap with U.S. working hours | Nearsure |
| You need specialist depth in a specific vertical | ScienceSoft |
Use case fit: Nearsure vs ScienceSoft
| Use case | Nearsure fit | ScienceSoft fit | Winner |
|---|---|---|---|
| Adding a GenAI developer to a U.S. SaaS team | Strong | Strong | Both equally |
| Staffing data engineers for a cloud migration | Strong | Strong | Both equally |
| Adding a data scientist to a healthcare analytics team | Strong | Strong | Both equally |
| Staffing BI and ML roles for a manufacturer | Strong | Strong | Both equally |
Verdict: Nearsure vs ScienceSoft
Nearsure (3.9/5) is the stronger overall choice for most AI Staff Augmentation projects. Augmentation-first business model with a growing AI studio.
ScienceSoft (3.7/5) is worth a look if you need staffing BI and ML roles for a manufacturer. If your situation matches that, ScienceSoft is a competitive option.
Related comparisons
Nearsure vs ScienceSoft FAQ
Is Nearsure better than ScienceSoft?
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. ScienceSoft's strongest advantage: shares rates together with candidate CVs.
How do Nearsure and ScienceSoft differ in pricing?
Nearsure uses monthly staff augmentation rates; project development; rates on request pricing. ScienceSoft uses hourly or monthly rates shared with cvs; time and materials pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Nearsure or ScienceSoft?
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 ScienceSoft?
Nearsure's primary differentiator is: augmentation-first business model with a growing AI studio. ScienceSoft's primary differentiator is: publishes its staff augmentation timeline and process. They also differ in team size (500–850 (sources vary) vs 750+), minimum engagement (Not published vs Not published), and primary industries served (Software & SaaS, Healthcare & life sciences vs Healthcare & life sciences, Financial services).
Verify all details directly with each company before making a decision.