Codiant vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Codiant (3.6/5) edges ahead of EPAM Systems (3.5/5) overall. Codiant is the better choice for startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost. 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.
Codiant vs EPAM Systems: head-to-head summary
| Criterion | Codiant | EPAM Systems |
|---|---|---|
| Founded | 2011 | 1993 |
| HQ | Illinois, USA / India | Newtown, PA, USA |
| Team size | 200–300 | 60,000+ |
| Rating | 3.6 / 5 | 3.5 / 5 |
| Best for | Startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost | 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 | $15K | $200K+ |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, EPAM DIAL, AWS |
| Industries served | Healthcare, Fintech, E-commerce, SaaS, Logistics | Fintech, Healthcare, Manufacturing, SaaS, Logistics |
Codiant vs EPAM Systems: overview
Codiant
Codiant is a software development company headquartered in Illinois, USA with a development centre in India and offices in the UK, Australia, and UAE, employing 240+ full-time professionals. The company is a subsidiary of Yash Technologies and delivers custom AI and ML solutions alongside web and mobile development for startups and enterprises across five continents. Codiant holds ISO 9001 and ISO/IEC 27001:2013 certifications and has completed 700+ projects for 200+ active clients. The ML practice covers data engineering, model development, and integration into web and mobile platforms.
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: Codiant vs EPAM Systems
| Capability | Codiant | 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: Codiant vs EPAM Systems
| Framework / platform | Codiant | 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: Codiant vs EPAM Systems
| Criterion | Codiant | EPAM Systems |
|---|---|---|
| Minimum engagement | $15K | $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: Codiant vs EPAM Systems
| Dimension | Codiant | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Healthcare, Fintech, E-commerce | Fintech, Healthcare, Manufacturing |
| Best use cases | ML features integrated into mobile and web application product builds, Predictive analytics for e-commerce product recommendation and personalisation | 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 |
Codiant vs EPAM Systems: pros and cons
| Codiant | |
|---|---|
| + | ISO 9001 and 27001 certifications for quality and security process assurance |
| + | Yash Technologies parent provides financial stability and enterprise credibility |
| + | 240+ professionals with multi-continent delivery capability across 5 geographies |
| + | $15K minimum engagement is accessible for startup and small company budgets |
| + | 700+ completed projects provides delivery track record across multiple industries |
| - | AI/ML is one of multiple service lines at a broadly-positioned development company |
| - | Yash Technologies acquisition means company culture may differ from independent AI-first firms |
| - | Smaller team limits capacity for very large or complex enterprise ML programmes |
| 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 Codiant?
Codiant is the right choice for startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost.
Yash Technologies subsidiary with ISO 9001 and 27001 certifications, multi-continent delivery, and 700+ completed projects for 200+ active clients. Minimum engagement starts at $15K. Works best with clients in Healthcare, Fintech, E-commerce, SaaS, 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: Codiant vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Codiant |
| You need a large dedicated team for an ongoing programme | Codiant |
| Your budget is at the lower end | Codiant |
| You need specialist depth in a specific vertical | Codiant |
| 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: Codiant vs EPAM Systems
| Use case | Codiant fit | EPAM Systems fit | Winner |
|---|---|---|---|
| ML features integrated into mobile and web application product builds | Strong | Strong | Both equally |
| Predictive analytics for e-commerce product recommendation and personalisation | Strong | Limited | Codiant |
| 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: Codiant vs EPAM Systems
Codiant (3.6/5) is the stronger overall choice for most Machine Learning Development projects. Yash Technologies subsidiary with ISO 9001 and 27001 certifications, multi-continent delivery, and 700+ completed projects for 200+ active clients. It is best for startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost.
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
Codiant vs EPAM Systems FAQ
Is Codiant better than EPAM Systems?
Codiant (3.6/5) scores higher overall, but "better" depends on your use case. Codiant is better for startups and mid-market companies on five continents needing ML development integrated with web and mobile product builds at accessible cost. 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 Codiant and EPAM Systems differ in pricing?
Codiant uses fixed project, dedicated team, t&m 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: Codiant or EPAM Systems?
Codiant 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 Codiant and EPAM Systems?
Codiant's primary differentiator is: yash technologies subsidiary with iso 9001 and 27001 certifications, multi-continent delivery, and 700+ completed projects for 200+ active clients. 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 (200–300 vs 60,000+), minimum engagement ($15K 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.