MobiDev vs Svitla Systems: full comparison for 2026
Quick verdict
MobiDev (4.4/5) edges ahead of Svitla Systems (4.3/5) overall. MobiDev is the better choice for retail and fitness products, one AI engineer to start. Svitla Systems is the stronger option for companies wanting both Mexican and Polish delivery options. The right choice depends on your project size, budget, and required tech stack.
MobiDev vs Svitla Systems: head-to-head summary
| Criterion | MobiDev | Svitla Systems |
|---|---|---|
| Founded | 2009 | 2003 |
| HQ | Atlanta, USA (R&D in Ukraine and Poland) | Corte Madera, California, USA |
| Team size | 201–500 | 650–1,000+ |
| Rating | 4.4 / 5 | 4.3 / 5 |
| Primary differentiator | Long AI product record in retail, hospitality and fitness | Two decades of team augmentation across LatAm and Europe |
| Pricing model | Monthly per engineer; dedicated team; rates on request | Time and materials; dedicated team; rates on request |
| Min. engagement | 1 full-time engineer | Not disclosed |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, AWS, Azure ML |
| Industries served | Retail and e-commerce, Hospitality, Fitness and wellness, Healthcare | Healthcare, Fintech, SaaS, Media |
MobiDev vs Svitla Systems: 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.
Svitla Systems
Svitla Systems was founded in 2003 and is headquartered in Corte Madera, California, with delivery centers that include Guadalajara and Kraków. The company cites more than 1,000 consultants, though one data aggregator estimates closer to 650 employees. Its services list includes AI, machine learning and big data, and in March 2026 it announced a Cloudera partnership aimed at governed data environments for AI in regulated sectors. Clutch reviews repeatedly mention team augmentation, while a few clients note uneven vetting for senior roles.
Services and capabilities: MobiDev vs Svitla Systems
| Capability | MobiDev | Svitla Systems |
|---|---|---|
| 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 Svitla Systems
| Framework / platform | MobiDev | Svitla Systems |
|---|---|---|
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | N/A |
| LangChain | ✓ | N/A |
| Hugging Face | N/A | N/A |
| OpenAI | N/A | N/A |
| AWS SageMaker | N/A | 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 Svitla Systems
| Criterion | MobiDev | Svitla Systems |
|---|---|---|
| Minimum engagement | 1 full-time engineer | Not disclosed |
| Engagement models | Full-time dedicated engineers, Dedicated team, Managed delivery | Full-time dedicated engineers, Dedicated team |
| Rate transparency | Minimum disclosed | Not public |
| Price tier | Accessible | Mid-market |
Target audience comparison: MobiDev vs Svitla Systems
| Dimension | MobiDev | Svitla Systems |
|---|---|---|
| Best company size | Startup to mid-market | Mid-market to enterprise |
| Best industries | Retail and e-commerce, Hospitality, Fitness and wellness | Healthcare, Fintech, SaaS |
| Best use cases | Adding a pose-estimation engineer to a fitness app, Placing an AI engineer to build product recommendations for a retailer | Adding Python and data engineers to a healthcare analytics team, Staffing a regulated-sector AI project on a governed data platform |
| Typical project type | Full-time dedicated engineers | Full-time dedicated engineers |
MobiDev vs Svitla Systems: 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 |
| Svitla Systems | |
|---|---|
| + | Long track record of embedding engineers in client teams |
| + | Can staff from Mexico for U.S. hours or Poland for EU hours |
| + | Cloudera partnership is useful for regulated data environments |
| + | Reviewers consistently praise communication |
| - | Some reviewers report uneven vetting for senior engineers |
| - | AI is a newer emphasis inside a general software company |
| - | Headcount figures disagree between sources |
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 Svitla Systems?
A typical fit: adding Python and data engineers to a healthcare analytics team.
Two decades of team augmentation across LatAm and Europe. Minimum engagement is not publicly disclosed. Works best with clients in Healthcare, Fintech, SaaS, Media.
Decision matrix: MobiDev vs Svitla Systems
| 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 Svitla Systems (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 Svitla Systems
| Use case | MobiDev fit | Svitla Systems 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 Python and data engineers to a healthcare analytics team | Strong | Strong | Both equally |
| Staffing a regulated-sector AI project on a governed data platform | Limited | Strong | Svitla Systems |
Verdict: MobiDev vs Svitla Systems
MobiDev (4.4/5) is the stronger overall choice for most AI Staffing projects. Long AI product record in retail, hospitality and fitness.
Svitla Systems (4.3/5) is worth a look if you need staffing a regulated-sector AI project on a governed data platform. If your situation matches that, Svitla Systems is a competitive option.
Related comparisons
MobiDev vs Svitla Systems FAQ
Is MobiDev better than Svitla Systems?
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. Svitla Systems's strongest advantage: long track record of embedding engineers in client teams.
How do MobiDev and Svitla Systems differ in pricing?
MobiDev uses monthly per engineer; dedicated team; rates on request pricing with a minimum engagement of 1 full-time engineer. Svitla Systems uses time and materials; dedicated team; 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: MobiDev or Svitla Systems?
Svitla Systems 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 Svitla Systems?
MobiDev's primary differentiator is: long AI product record in retail, hospitality and fitness. Svitla Systems's primary differentiator is: two decades of team augmentation across LatAm and Europe. They also differ in team size (201–500 vs 650–1,000+), minimum engagement (1 full-time engineer vs Not disclosed), and primary industries served (Retail and e-commerce, Hospitality vs Healthcare, Fintech).
Verify all details directly with each agency before making a decision.