SoftServe vs MobiDev: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.2/5) edges ahead of SoftServe (4.0/5) overall. MobiDev is the better choice for retail, hospitality, and health/fitness companies wanting a mid-size firm with a proven, product-specific AI/ML delivery track record.. SoftServe is the stronger option for enterprises wanting a large, established engineering partner with a long-running AI/ML and data practice alongside cloud and IoT work.. The right choice depends on your project size, budget, and required tech stack.
SoftServe vs MobiDev: head-to-head summary
| Criterion | SoftServe | MobiDev |
|---|---|---|
| Founded | 1993 | 2009 |
| HQ | Austin, Texas, USA / Lviv, Ukraine | Atlanta, Georgia, USA |
| Team size | 10,000+ | 201–500 |
| Rating | 4.0 / 5 | 4.2 / 5 |
| Best for | Enterprises wanting a large, established engineering partner with a long-running AI/ML and data practice alongside cloud and IoT work. | Retail, hospitality, and health/fitness companies wanting a mid-size firm with a proven, product-specific AI/ML delivery track record. |
| Pricing model | Fixed project, dedicated team, staff augmentation | Fixed project and dedicated team |
| Min. engagement | Not published | $20K |
| Primary tech stack | Python, TensorFlow, Azure | Python, TensorFlow, OpenCV |
| Industries served | Healthcare, Retail, Financial Services, Technology/SaaS | Retail, Hospitality, Health & Fitness, Sports |
SoftServe vs MobiDev: overview
SoftServe
SoftServe is a digital engineering and consulting company founded in 1993 in Lviv, Ukraine, with US headquarters in Austin, Texas and European headquarters remaining in Lviv. Reported headcount ranges from roughly 10,000 to 12,000 employees across 58 offices in 14 countries, with AI/ML, data and analytics, and cloud among its core practice areas.
MobiDev
MobiDev is a custom software development company founded in 2009, headquartered in Atlanta, Georgia, with R&D centers in Lodz, Poland and Chernivtsi, Ukraine, and roughly 290–400 engineers. CEO Oleg Lola initiated a dedicated AI/ML practice in 2018, and the company has since delivered more than 65 AI/ML products, concentrated in retail, hospitality, fitness, sports, and health/wellness.
Services and capabilities: SoftServe vs MobiDev
| Capability | SoftServe | MobiDev |
|---|---|---|
| Custom ML model development | ✓ | ✓ |
| Deep learning & computer vision | ✗ | ✓ |
| NLP & LLM / Generative AI | ✗ | ✗ |
| MLOps & production deployment | ✓ | ✗ |
| Data engineering | ✓ | ✓ |
| AI strategy consulting | ✗ | ✗ |
| Staff augmentation | ✓ | ✓ |
Tech stack comparison: SoftServe vs MobiDev
| Framework / platform | SoftServe | MobiDev |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | N/A | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | N/A |
| Google Cloud | N/A | N/A |
| Kubernetes | ✓ | N/A |
| Databricks | N/A | N/A |
| LangChain | N/A | N/A |
Pricing comparison: SoftServe vs MobiDev
| Criterion | SoftServe | MobiDev |
|---|---|---|
| Minimum engagement | Not published | $20K |
| Engagement models | Fixed project, Dedicated team, Staff augmentation | Fixed project, Dedicated team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Enterprise / not published | Accessible |
Target audience comparison: SoftServe vs MobiDev
| Dimension | SoftServe | MobiDev |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Healthcare, Retail, Financial Services | Retail, Hospitality, Health & Fitness |
| Best use cases | Enterprise clients needing AI/ML delivered as part of a broader digital engineering program, Healthcare or retail programs combining cloud migration with applied ML | Retail or hospitality companies wanting computer-vision or recommendation features built into an existing product, Health and fitness apps needing an ML-driven personalization or tracking feature |
| Typical project type | Fixed project | Fixed project |
SoftServe vs MobiDev: pros and cons
| SoftServe | |
|---|---|
| + | 32 years of operating history, among the longest on this list |
| + | 10,000+ employees across 58 offices supports very large, globally distributed programs |
| + | AI/ML practice sits alongside mature cloud, data, and IoT capabilities from the same firm |
| + | Dual US/Ukraine headquarters structure has proven resilient through a long operating history |
| - | AI/ML is one of several major practice areas rather than the company's sole focus |
| - | Very large scale may mean less senior-level access on smaller engagements than boutique specialists |
| - | Minimum engagement size and standard pricing not publicly disclosed |
| MobiDev | |
|---|---|
| + | 65+ delivered AI/ML products gives a concrete, countable delivery track record rather than general marketing claims |
| + | Deliberate AI/ML practice build-out since 2018, rather than a very recent pivot |
| + | Named vertical concentration (retail, hospitality, fitness, health) supports domain-specific product experience |
| + | Mid-size team (290–400) balances specialist focus with real delivery capacity |
| - | Narrower industry focus than horizontal AI consultancies serving finance, healthcare, and manufacturing broadly |
| - | Smaller scale than the large enterprise IT firms on this list, limiting very large multi-team programs |
| - | AI/ML sits alongside a broader general custom-software-development practice |
Who should choose SoftServe?
SoftServe is the right choice for enterprises wanting a large, established engineering partner with a long-running AI/ML and data practice alongside cloud and IoT work..
32 years of continuous operation spanning both a US public-market presence and deep Ukrainian engineering roots.. Minimum engagement starts at Not published. Works best with clients in Healthcare, Retail, Financial Services, Technology/SaaS.
Who should choose MobiDev?
MobiDev is the right choice for retail, hospitality, and health/fitness companies wanting a mid-size firm with a proven, product-specific AI/ML delivery track record..
65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals.. Minimum engagement starts at $20K. Works best with clients in Retail, Hospitality, Health & Fitness, Sports.
Decision matrix: SoftServe vs MobiDev
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | SoftServe |
| You need a large dedicated team for an ongoing programme | SoftServe |
| Your budget is at the lower end | Compare: SoftServe (Not published) vs MobiDev ($20K) |
| You need specialist depth in a specific vertical | SoftServe |
| You need staff augmentation or team extension | SoftServe |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: SoftServe vs MobiDev
| Use case | SoftServe fit | MobiDev fit | Winner |
|---|---|---|---|
| Enterprise clients needing AI/ML delivered as part of a broader digital engineering program | Strong | Limited | SoftServe |
| Healthcare or retail programs combining cloud migration with applied ML | Strong | Limited | SoftServe |
| Retail or hospitality companies wanting computer-vision or recommendation features built into an existing product | Strong | Strong | Both equally |
| Health and fitness apps needing an ML-driven personalization or tracking feature | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Strong | Limited | SoftServe |
Verdict: SoftServe vs MobiDev
MobiDev (4.2/5) is the stronger overall choice for most Machine Learning Development projects. 65+ delivered AI/ML products concentrated in retail, hospitality, fitness, and health/wellness verticals.. It is best for retail, hospitality, and health/fitness companies wanting a mid-size firm with a proven, product-specific AI/ML delivery track record..
SoftServe (4.0/5) is the better choice when enterprises wanting a large, established engineering partner with a long-running AI/ML and data practice alongside cloud and IoT work.. If your situation matches those criteria, SoftServe is a competitive option.
Related comparisons
SoftServe vs MobiDev FAQ
Is SoftServe better than MobiDev?
MobiDev (4.2/5) scores higher overall, but "better" depends on your use case. SoftServe is better for enterprises wanting a large, established engineering partner with a long-running AI/ML and data practice alongside cloud and IoT work.. MobiDev is better for retail, hospitality, and health/fitness companies wanting a mid-size firm with a proven, product-specific AI/ML delivery track record..
How do SoftServe and MobiDev differ in pricing?
SoftServe uses fixed project, dedicated team, staff augmentation pricing with a minimum engagement of Not published. MobiDev uses fixed project and dedicated team pricing with a minimum engagement of $20K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: SoftServe or MobiDev?
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 SoftServe and MobiDev?
SoftServe's primary differentiator is: 32 years of continuous operation spanning both a us public-market presence and deep ukrainian engineering roots.. MobiDev's primary differentiator is: 65+ delivered ai/ml products concentrated in retail, hospitality, fitness, and health/wellness verticals.. They also differ in team size (10,000+ vs 201–500), minimum engagement (Not published vs $20K), and primary industries served (Healthcare, Retail vs Retail, Hospitality).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.