Devox Software vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Devox Software (3.7/5) edges ahead of EPAM Systems (3.5/5) overall. Devox Software is the better choice for eU, UK, and US clients needing cost-efficient Python ML development for finance and retail applications with strong client retention. 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.
Devox Software vs EPAM Systems: head-to-head summary
| Criterion | Devox Software | EPAM Systems |
|---|---|---|
| Founded | 2014 | 1993 |
| HQ | Kyiv, Ukraine / Kraków, Poland | Newtown, PA, USA |
| Team size | 100–200 | 60,000+ |
| Rating | 3.7 / 5 | 3.5 / 5 |
| Best for | EU, UK, and US clients needing cost-efficient Python ML development for finance and retail applications with strong client retention | Large enterprises needing ML within large-scale platform engineering programmes and access to a proprietary AI orchestration platform |
| Pricing model | Fixed project, T&M, dedicated team | Dedicated team, T&M |
| Min. engagement | $15K | $200K+ |
| Primary tech stack | Python, PyTorch, TensorFlow | Python, EPAM DIAL, AWS |
| Industries served | Fintech, Retail, E-commerce, Healthcare, Logistics | Fintech, Healthcare, Manufacturing, SaaS, Logistics |
Devox Software vs EPAM Systems: overview
Devox Software
Devox Software is an IT outsourcing services provider headquartered in Ukraine with offices in Poland and Romania, offering AI-driven legacy modernisation, cloud application development, and machine learning solutions. The firm employs 100+ qualified experts and reports 82% of clients working with them for over two years, with 90% of customers located in the EU, UK, or USA. Devox develops Python machine learning solutions using PyCaret, Matplotlib, TensorFlow, and PyTorch, with a primary focus on finance and retail-oriented ML applications.
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: Devox Software vs EPAM Systems
| Capability | Devox Software | 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: Devox Software vs EPAM Systems
| Framework / platform | Devox Software | EPAM Systems |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | ✓ | N/A |
| TensorFlow | ✓ | ✓ |
| Scikit-learn | ✓ | N/A |
| AWS SageMaker | N/A | N/A |
| MLflow | N/A | ✓ |
| Hugging Face | N/A | N/A |
| LangChain | N/A | N/A |
| Docker/Kubernetes | N/A | N/A |
| Databricks | N/A | ✓ |
Pricing comparison: Devox Software vs EPAM Systems
| Criterion | Devox Software | EPAM Systems |
|---|---|---|
| Minimum engagement | $15K | $200K+ |
| Engagement models | Fixed project, Time & materials, Dedicated team | Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Devox Software vs EPAM Systems
| Dimension | Devox Software | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Retail, E-commerce | Fintech, Healthcare, Manufacturing |
| Best use cases | Financial risk scoring models for lenders and credit providers, Retail demand forecasting and inventory optimisation ML | 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 |
Devox Software vs EPAM Systems: pros and cons
| Devox Software | |
|---|---|
| + | Strong 82% long-term client retention rate demonstrates delivery satisfaction |
| + | Python-native ML focus with documented framework coverage including PyCaret |
| + | $15K minimum engagement accessible for earlier-stage project initiation |
| + | Finance and retail ML specialisation with practical industry use case depth |
| + | Eastern European rates with EU/UK/US-facing delivery capability |
| - | Ukraine/Poland primary delivery requires business continuity assessment for critical programmes |
| - | Team of 100+ limits simultaneous capacity for very large multi-stream ML programmes |
| - | Less extensive public portfolio compared to larger 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 Devox Software?
Devox Software is the right choice for eU, UK, and US clients needing cost-efficient Python ML development for finance and retail applications with strong client retention.
High client retention rate (82% long-term partnerships) with Python-native ML focus for finance and retail use cases. Minimum engagement starts at $15K. Works best with clients in Fintech, Retail, E-commerce, Healthcare, Logistics.
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: Devox Software vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Devox Software |
| You need a large dedicated team for an ongoing programme | Devox Software |
| Your budget is at the lower end | Devox Software |
| You need specialist depth in a specific vertical | Devox Software |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Devox Software |
Use case fit: Devox Software vs EPAM Systems
| Use case | Devox Software fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Financial risk scoring models for lenders and credit providers | Strong | Strong | Both equally |
| Retail demand forecasting and inventory optimisation ML | Strong | Limited | Devox Software |
| 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: Devox Software vs EPAM Systems
Devox Software (3.7/5) is the stronger overall choice for most Machine Learning Development projects. High client retention rate (82% long-term partnerships) with Python-native ML focus for finance and retail use cases. It is best for eU, UK, and US clients needing cost-efficient Python ML development for finance and retail applications with strong client retention.
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
Devox Software vs EPAM Systems FAQ
Is Devox Software better than EPAM Systems?
Devox Software (3.7/5) scores higher overall, but "better" depends on your use case. Devox Software is better for eU, UK, and US clients needing cost-efficient Python ML development for finance and retail applications with strong client retention. 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 Devox Software and EPAM Systems differ in pricing?
Devox Software uses fixed project, t&m, dedicated team pricing with a minimum engagement of $15K. 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: Devox Software or EPAM Systems?
Devox Software 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 Devox Software and EPAM Systems?
Devox Software's primary differentiator is: high client retention rate (82% long-term partnerships) with python-native ml focus for finance and retail use cases. 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 (100–200 vs 60,000+), minimum engagement ($15K vs $200K+), and primary industries served (Fintech, Retail vs Fintech, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.