MobiDev vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
MobiDev (4.1/5) edges ahead of EPAM Systems (3.5/5) overall. MobiDev is the better choice for companies needing ML development integrated with mobile or web product engineering from a US/UK-managed team with European R&D. EPAM Systems is the stronger option for large enterprises needing ML within large-scale platform engineering programmes and access to a proprietary AI orchestration platform. The right choice depends on your project size, budget, and required tech stack.
MobiDev vs EPAM Systems: head-to-head summary
| Criterion | MobiDev | EPAM Systems |
|---|---|---|
| Founded | 2009 | 1993 |
| HQ | Atlanta, GA, USA / Sheffield, UK | Newtown, PA, USA |
| Team size | 400–600 | 60,000+ |
| Rating | 4.1 / 5 | 3.5 / 5 |
| Best for | Companies needing ML development integrated with mobile or web product engineering from a US/UK-managed team with European R&D | Large enterprises needing ML within large-scale platform engineering programmes and access to a proprietary AI orchestration platform |
| Pricing model | Fixed project, dedicated team, T&M | Dedicated team, T&M |
| Min. engagement | $30K | $200K+ |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, EPAM DIAL, AWS |
| Industries served | Healthcare, Fintech, Retail, Logistics, E-commerce | Fintech, Healthcare, Manufacturing, SaaS, Logistics |
MobiDev vs EPAM Systems: overview
MobiDev
MobiDev is a software and machine learning company headquartered in Atlanta, Georgia and Sheffield, UK, with R&D centers in Lodz, Poland and Chernivtsi, Ukraine. The firm employs 400+ engineers and offers full-range machine learning services including deep learning, data science, computer vision, NLP, and GPT model integration. MobiDev's ML practice covers all stages from data collection and model training through integration and post-deployment monitoring. The company serves clients across healthcare, fintech, retail, and logistics with a product-engineering mindset that emphasises buildable, maintainable production systems.
EPAM Systems
EPAM Systems is a global software engineering and digital services company founded in 1993 and headquartered in Newtown, Pennsylvania, publicly listed on the NYSE with 62,000+ professionals across 55+ countries. The company's AI and ML services encompass data engineering, platform modernisation, advanced analytics, and AI/ML model development, alongside its proprietary EPAM DIAL enterprise AI orchestration platform. EPAM has positioned itself as a leader in AI transformation engineering, integrating ML capability within large digital product and platform engineering programmes.
Services and capabilities: MobiDev vs EPAM Systems
| Capability | MobiDev | EPAM Systems |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✓ | ✗ |
| NLP & text analytics | ✓ | ✗ |
| MLOps & deployment | ✓ | ✓ |
| Generative AI | ✓ | ✓ |
| ML consulting & strategy | ✗ | ✓ |
| Staff augmentation | ✗ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: MobiDev vs EPAM Systems
| Framework / platform | MobiDev | EPAM Systems |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | ✓ |
| Scikit-learn | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| MLflow | N/A | ✓ |
| Hugging Face | ✓ | N/A |
| LangChain | ✓ | N/A |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | ✓ |
Pricing comparison: MobiDev vs EPAM Systems
| Criterion | MobiDev | EPAM Systems |
|---|---|---|
| Minimum engagement | $30K | $200K+ |
| Engagement models | Fixed project, Dedicated team, Time & materials | Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: MobiDev vs EPAM Systems
| Dimension | MobiDev | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Fintech, Retail | Fintech, Healthcare, Manufacturing |
| Best use cases | ML features integrated into mobile and web product builds for healthcare and fintech, Deep learning models for medical imaging analysis and diagnostics | Enterprise AI transformation programmes for Fortune 500 organisations, EPAM DIAL deployment for enterprise LLM governance and AI orchestration |
| Typical project type | Fixed project | Dedicated team |
MobiDev vs EPAM Systems: pros and cons
| MobiDev | |
|---|---|
| + | US and UK presence with European R&D centres for cost-efficient delivery without quality compromise |
| + | Full-range ML coverage including deep learning, NLP, computer vision, and generative AI |
| + | 400+ engineers provide staffing capacity for scaling concurrent programmes |
| + | Product engineering mindset ensures ML is built into working software, not isolated prototypes |
| + | Strong GPT and LLM integration capability for modern AI-powered product features |
| - | Broad ML coverage may lack specialist depth on highly novel deep learning research problems |
| - | Poland and Ukraine R&D centres require business continuity planning for critical long-term programmes |
| - | Case study library is less publicly extensive than some larger or boutique competitors |
| EPAM Systems | |
|---|---|
| + | Publicly listed company provides financial transparency and governance confidence |
| + | 62,000+ engineers deliver at a scale few ML development competitors can match |
| + | Proprietary EPAM DIAL AI orchestration platform for enterprise LLM management |
| + | AI transformation engineering positioning beyond standard ML delivery |
| + | 55+ country footprint supports global enterprise programme delivery and compliance |
| - | Very high minimum engagement ($200K+) limits access to large enterprise budgets |
| - | ML is one capability within a massive engineering conglomerate — specialist depth varies by practice and team |
| - | Eastern European primary delivery requires business continuity planning for regulated clients |
Who should choose MobiDev?
MobiDev is the right choice for companies needing ML development integrated with mobile or web product engineering from a US/UK-managed team with European R&D.
US/UK-managed ML engineering firm with 400+ engineers and documented deep learning, NLP, and GPT integration across product development. Minimum engagement starts at $30K. Works best with clients in Healthcare, Fintech, Retail, Logistics, E-commerce.
Who should choose EPAM Systems?
EPAM Systems is the right choice for large enterprises needing ML within large-scale platform engineering programmes and access to a proprietary AI orchestration platform.
Publicly traded 62,000-person firm with proprietary EPAM DIAL AI orchestration platform and AI transformation engineering positioning for global enterprises. Minimum engagement starts at $200K+. Works best with clients in Fintech, Healthcare, Manufacturing, SaaS, Logistics.
Decision matrix: MobiDev vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | MobiDev |
| You need a large dedicated team for an ongoing programme | MobiDev |
| Your budget is at the lower end | MobiDev |
| 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 | EPAM Systems |
Use case fit: MobiDev vs EPAM Systems
| Use case | MobiDev fit | EPAM Systems fit | Winner |
|---|---|---|---|
| ML features integrated into mobile and web product builds for healthcare and fintech | Strong | Strong | Both equally |
| Deep learning models for medical imaging analysis and diagnostics | Strong | Limited | MobiDev |
| Enterprise AI transformation programmes for Fortune 500 organisations | Limited | Strong | EPAM Systems |
| EPAM DIAL deployment for enterprise LLM governance and AI orchestration | Limited | Strong | EPAM Systems |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: MobiDev vs EPAM Systems
MobiDev (4.1/5) is the stronger overall choice for most Machine Learning Development projects. US/UK-managed ML engineering firm with 400+ engineers and documented deep learning, NLP, and GPT integration across product development. It is best for companies needing ML development integrated with mobile or web product engineering from a US/UK-managed team with European R&D.
EPAM Systems (3.5/5) is the better choice when large enterprises needing ML within large-scale platform engineering programmes and access to a proprietary AI orchestration platform. If your situation matches those criteria, EPAM Systems is a competitive option.
Related comparisons
MobiDev vs EPAM Systems FAQ
Is MobiDev better than EPAM Systems?
MobiDev (4.1/5) scores higher overall, but "better" depends on your use case. MobiDev is better for companies needing ML development integrated with mobile or web product engineering from a US/UK-managed team with European R&D. EPAM Systems is better for large enterprises needing ML within large-scale platform engineering programmes and access to a proprietary AI orchestration platform.
How do MobiDev and EPAM Systems differ in pricing?
MobiDev uses fixed project, dedicated team, t&m pricing with a minimum engagement of $30K. EPAM Systems uses dedicated team, t&m pricing with a minimum engagement of $200K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: MobiDev or EPAM Systems?
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 company before shortlisting.
What are the main differences between MobiDev and EPAM Systems?
MobiDev's primary differentiator is: us/uk-managed ml engineering firm with 400+ engineers and documented deep learning, nlp, and gpt integration across product development. EPAM Systems's primary differentiator is: publicly traded 62,000-person firm with proprietary epam dial ai orchestration platform and ai transformation engineering positioning for global enterprises. They also differ in team size (400–600 vs 60,000+), minimum engagement ($30K vs $200K+), and primary industries served (Healthcare, Fintech vs Fintech, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.