MobiDev vs ScienceSoft: full comparison for 2026
Quick verdict
MobiDev (4.4/5) edges ahead of ScienceSoft (4.0/5) overall. MobiDev is the better choice for retail and fitness products, one AI engineer to start. ScienceSoft is the stronger option for regulated industries hiring experienced data scientists. The right choice depends on your project size, budget, and required tech stack.
MobiDev vs ScienceSoft: head-to-head summary
| Criterion | MobiDev | ScienceSoft |
|---|---|---|
| Founded | 2009 | 1989 |
| HQ | Atlanta, USA (R&D in Ukraine and Poland) | McKinney, Texas, USA |
| Team size | 201–500 | 750+ |
| Rating | 4.4 / 5 | 4.0 / 5 |
| Primary differentiator | Long AI product record in retail, hospitality and fitness | Senior data scientists with a published hiring timeline |
| Pricing model | Monthly per engineer; dedicated team; rates on request | Time and materials; rates sent with CVs |
| Min. engagement | 1 full-time engineer | Not disclosed |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, R, Azure ML |
| Industries served | Retail and e-commerce, Hospitality, Fitness and wellness, Healthcare | Healthcare, Manufacturing, Fintech, Retail |
MobiDev vs ScienceSoft: overview
MobiDev
MobiDev was founded in 2009 in Kharkiv, Ukraine, opened its first U.S. office in Atlanta in 2011, and now runs R&D centers in Ukraine and Łódź, Poland. Its AI team-augmentation offer starts at a single full-time engineer and quotes up to two weeks to allocate someone (per company website; independently unverifiable). The company says 89% of its engineers are middle or senior level and reports more than 65 AI and ML products built, mainly for retail, hospitality, fitness and health clients. Headcount figures range from 201–500 on aggregators to 400+ on a regional IT directory.
ScienceSoft
ScienceSoft dates its IT work to 1989 and is headquartered in McKinney, Texas, with representative offices in the UAE, Saudi Arabia, Europe and Mexico. Its staff-augmentation pool covers more than 750 professionals, including data scientists with 7–20 years of experience. The company says it sends CVs with rates within 24 hours, arranges interviews in two to four days and has people starting within one to two weeks (per company website; independently unverifiable).
Services and capabilities: MobiDev vs ScienceSoft
| Capability | MobiDev | 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: MobiDev vs ScienceSoft
| Framework / platform | MobiDev | ScienceSoft |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | N/A |
| AWS SageMaker | N/A | ✓ |
| Azure ML | N/A | ✓ |
| Databricks | N/A | N/A |
| MLflow | N/A | N/A |
| Kubernetes | N/A | N/A |
Pricing comparison: MobiDev vs ScienceSoft
| Criterion | MobiDev | ScienceSoft |
|---|---|---|
| Minimum engagement | 1 full-time engineer | Not disclosed |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Full-time dedicated engineers, Dedicated team, Managed delivery |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: MobiDev vs ScienceSoft
| Dimension | MobiDev | ScienceSoft |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail and e-commerce, Hospitality, Fitness and wellness | Healthcare, Manufacturing, Fintech |
| Best use cases | Adding a pose-estimation engineer to a fitness app, Placing an AI engineer to build product recommendations for a retailer | Adding a senior data scientist to a healthcare analytics team, Staffing a manufacturing predictive-maintenance project |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
MobiDev vs ScienceSoft: pros and cons
| MobiDev | |
|---|---|
| + | You can start with a single engineer instead of a whole squad |
| + | Senior-weighted bench, with a stated six-year average experience among lead AI engineers |
| + | Strong record in computer vision for fitness and sports products |
| + | U.S. and UK incorporation makes contracting straightforward |
| - | Much of the delivery team is in Ukraine, so some buyers will want to discuss continuity planning |
| - | Industry focus is narrower than the large generalists |
| - | No published rates |
| ScienceSoft | |
|---|---|
| + | Rates arrive with the CVs, before any sales calls |
| + | Long history in healthcare and manufacturing IT |
| + | Experienced data scientists rather than junior ML hires |
| - | AI is one of many service lines |
| - | Smaller bench than the large nearshore firms |
| - | Headcount figures differ between the company's own pages |
Who should choose MobiDev?
A typical fit: adding a pose-estimation engineer to a fitness app.
Long AI product record in retail, hospitality and fitness. Minimum engagement starts at 1 full-time engineer. Works best with clients in Retail and e-commerce, Hospitality, Fitness and wellness, Healthcare.
Who should choose ScienceSoft?
A typical fit: adding a senior data scientist to a healthcare analytics team.
Senior data scientists with a published hiring timeline. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Manufacturing, Fintech, Retail.
Decision matrix: MobiDev vs ScienceSoft
| 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 | MobiDev |
| Your budget is at the lower end | Compare: MobiDev (1 full-time engineer) vs ScienceSoft (Not disclosed) |
| You need specialist depth in a specific vertical | MobiDev |
| 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: MobiDev vs ScienceSoft
| Use case | MobiDev fit | ScienceSoft fit | Winner |
|---|---|---|---|
| Adding a pose-estimation engineer to a fitness app | Strong | Strong | Both equally |
| Placing an AI engineer to build product recommendations for a retailer | Strong | Limited | MobiDev |
| Adding a senior data scientist to a healthcare analytics team | Strong | Strong | Both equally |
| Staffing a manufacturing predictive-maintenance project | Limited | Strong | ScienceSoft |
Verdict: MobiDev vs ScienceSoft
MobiDev (4.4/5) is the stronger overall choice for most AI Staffing projects. Long AI product record in retail, hospitality and fitness.
ScienceSoft (4.0/5) is worth a look if you need staffing a manufacturing predictive-maintenance project. If your situation matches that, ScienceSoft is a competitive option.
Related comparisons
MobiDev vs ScienceSoft FAQ
Is MobiDev better than ScienceSoft?
MobiDev (4.4/5) scores higher overall, but "better" depends on your use case. MobiDev's strongest advantage: you can start with a single engineer instead of a whole squad. ScienceSoft's strongest advantage: rates arrive with the CVs, before any sales calls.
How do MobiDev and ScienceSoft differ in pricing?
MobiDev uses monthly per engineer; dedicated team; rates on request pricing with a minimum engagement of 1 full-time engineer. ScienceSoft uses time and materials; rates sent with cvs pricing. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: MobiDev or ScienceSoft?
MobiDev 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 MobiDev and ScienceSoft?
MobiDev's primary differentiator is: long AI product record in retail, hospitality and fitness. ScienceSoft's primary differentiator is: senior data scientists with a published hiring timeline. They also differ in team size (201–500 vs 750+), minimum engagement (1 full-time engineer vs Not disclosed), and primary industries served (Retail and e-commerce, Hospitality vs Healthcare, Manufacturing).
Verify all details directly with each agency before making a decision.