EPAM Systems vs MobiDev: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.2/5) edges ahead of EPAM Systems (3.8/5) 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.. EPAM Systems is the stronger option for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner.. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs MobiDev: head-to-head summary
| Criterion | EPAM Systems | MobiDev |
|---|---|---|
| Founded | 1993 | 2009 |
| HQ | Newtown, Pennsylvania, USA | Atlanta, Georgia, USA |
| Team size | 10,000+ | 201–500 |
| Rating | 3.8 / 5 | 4.2 / 5 |
| Best for | The largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner. | Retail, hospitality, and health/fitness companies wanting a mid-size firm with a proven, product-specific AI/ML delivery track record. |
| Pricing model | Managed services and fixed project | Fixed project and dedicated team |
| Min. engagement | Not published | $20K |
| Primary tech stack | Python, EPAM DIAL, Azure OpenAI | Python, TensorFlow, OpenCV |
| Industries served | Financial Services, Healthcare, Retail, Technology/SaaS, Government | Retail, Hospitality, Health & Fitness, Sports |
EPAM Systems vs MobiDev: overview
EPAM Systems
EPAM Systems is a global digital engineering company founded in 1993 by Arkadiy Dobkin and Leo Lozner, listed on the NYSE since 2012, with approximately 62,850 employees as of end of 2025. The company has built a proprietary AI orchestration platform, EPAM DIAL, for managing large language models in production, but AI/ML delivery represents one part of an enormous, broadly diversified enterprise engineering portfolio.
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: EPAM Systems vs MobiDev
| Capability | EPAM Systems | 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: EPAM Systems vs MobiDev
| Framework / platform | EPAM Systems | MobiDev |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | N/A | ✓ |
| 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: EPAM Systems vs MobiDev
| Criterion | EPAM Systems | MobiDev |
|---|---|---|
| Minimum engagement | Not published | $20K |
| Engagement models | Managed services, Fixed project, Staff augmentation | Fixed project, Dedicated team |
| Rate transparency | Not public | Minimum disclosed |
| Price tier | Enterprise / not published | Accessible |
Target audience comparison: EPAM Systems vs MobiDev
| Dimension | EPAM Systems | MobiDev |
|---|---|---|
| Best company size | Enterprise | Startup to mid-market |
| Best industries | Financial Services, Healthcare, Retail | Retail, Hospitality, Health & Fitness |
| Best use cases | Global enterprises needing AI delivered at a scale only a 60,000+ employee firm can support, Programs that specifically want to leverage the EPAM DIAL LLM orchestration platform | 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 | Managed services | Fixed project |
EPAM Systems vs MobiDev: pros and cons
| EPAM Systems | |
|---|---|
| + | Largest, most globally distributed team on this list, supporting essentially unlimited program scale |
| + | NYSE listing (since 2012) provides the highest level of public financial transparency among firms reviewed here |
| + | Proprietary EPAM DIAL platform for LLM orchestration shows real internal AI infrastructure investment |
| + | 32 years of continuous operation across more than 55 countries |
| - | AI/ML is a specialization within an enormous generalist engineering portfolio, not the company's defining focus |
| - | Scale of the organization can translate into higher account-management overhead for smaller engagements |
| - | Buyers wanting a boutique, founder-accessible relationship will find that better served by smaller firms on this list |
| 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 EPAM Systems?
EPAM Systems is the right choice for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner..
Largest headcount on this list (62,000+) with NYSE-listed financial transparency and a proprietary LLM orchestration platform (EPAM DIAL).. Minimum engagement starts at Not published. Works best with clients in Financial Services, Healthcare, Retail, Technology/SaaS, Government.
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: EPAM Systems vs MobiDev
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | EPAM Systems |
| You need a large dedicated team for an ongoing programme | MobiDev |
| Your budget is at the lower end | Compare: EPAM Systems (Not published) vs MobiDev ($20K) |
| You need specialist depth in a specific vertical | EPAM Systems |
| You need staff augmentation or team extension | EPAM Systems |
| You need consulting before committing to a build | EPAM Systems |
Use case fit: EPAM Systems vs MobiDev
| Use case | EPAM Systems fit | MobiDev fit | Winner |
|---|---|---|---|
| Global enterprises needing AI delivered at a scale only a 60,000+ employee firm can support | Strong | Limited | EPAM Systems |
| Programs that specifically want to leverage the EPAM DIAL LLM orchestration platform | Strong | Limited | EPAM Systems |
| Retail or hospitality companies wanting computer-vision or recommendation features built into an existing product | Limited | Strong | MobiDev |
| Health and fitness apps needing an ML-driven personalization or tracking feature | Limited | Strong | MobiDev |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: EPAM Systems 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..
EPAM Systems (3.8/5) is the better choice when the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner.. If your situation matches those criteria, EPAM Systems is a competitive option.
Related comparisons
EPAM Systems vs MobiDev FAQ
Is EPAM Systems better than MobiDev?
MobiDev (4.2/5) scores higher overall, but "better" depends on your use case. EPAM Systems is better for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner.. 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 EPAM Systems and MobiDev differ in pricing?
EPAM Systems uses managed services and fixed project 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: EPAM Systems 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 EPAM Systems and MobiDev?
EPAM Systems's primary differentiator is: largest headcount on this list (62,000+) with nyse-listed financial transparency and a proprietary llm orchestration platform (epam dial).. 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 (Financial Services, Healthcare vs Retail, Hospitality).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.