Ciklum vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Ciklum (3.6/5) edges ahead of EPAM Systems (3.5/5) overall. Ciklum is the better choice for global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus. 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.
Ciklum vs EPAM Systems: head-to-head summary
| Criterion | Ciklum | EPAM Systems |
|---|---|---|
| Founded | 2002 | 1993 |
| HQ | London, UK | Newtown, PA, USA |
| Team size | 4,000+ | 60,000+ |
| Rating | 3.6 / 5 | 3.5 / 5 |
| Best for | Global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus | Large enterprises needing ML within large-scale platform engineering programmes and access to a proprietary AI orchestration platform |
| Pricing model | Dedicated team, T&M | Dedicated team, T&M |
| Min. engagement | $100K | $200K+ |
| Primary tech stack | Python, LangChain, OpenAI API | Python, EPAM DIAL, AWS |
| Industries served | Fintech, Healthcare, E-commerce, SaaS, Logistics | Fintech, Healthcare, Manufacturing, SaaS, Logistics |
Ciklum vs EPAM Systems: overview
Ciklum
Ciklum is a global Experience Engineering firm headquartered in London, UK, founded in 2002, with 4,000+ employees serving 250+ global enterprise clients. The company acquired GoSolve Group in 2025, adding cloud-native development and high-performance computing capability. Ciklum's AI services include generative AI development, ML integration into digital products, and AI-powered SDLC acceleration. The firm delivers next-generation product engineering and AI-powered customer experiences for large enterprises and digital disruptors.
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: Ciklum vs EPAM Systems
| Capability | Ciklum | 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: Ciklum vs EPAM Systems
| Framework / platform | Ciklum | EPAM Systems |
|---|---|---|
| Python | ✓ | ✓ |
| PyTorch | N/A | N/A |
| TensorFlow | N/A | ✓ |
| Scikit-learn | N/A | N/A |
| AWS SageMaker | N/A | N/A |
| MLflow | ✓ | ✓ |
| Hugging Face | N/A | N/A |
| LangChain | ✓ | N/A |
| Docker/Kubernetes | N/A | N/A |
| Databricks | ✓ | ✓ |
Pricing comparison: Ciklum vs EPAM Systems
| Criterion | Ciklum | EPAM Systems |
|---|---|---|
| Minimum engagement | $100K | $200K+ |
| Engagement models | Dedicated team, Time & materials, Consulting retainer | Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Ciklum vs EPAM Systems
| Dimension | Ciklum | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Fintech, Healthcare, E-commerce | Fintech, Healthcare, Manufacturing |
| Best use cases | Generative AI features integrated into large enterprise digital products, ML-powered personalisation for consumer-facing applications at scale | Enterprise AI transformation programmes for Fortune 500 organisations, EPAM DIAL deployment for enterprise LLM governance and AI orchestration |
| Typical project type | Dedicated team | Dedicated team |
Ciklum vs EPAM Systems: pros and cons
| Ciklum | |
|---|---|
| + | 4,000+ employees serving 250+ enterprises demonstrates delivery scale and breadth |
| + | Generative AI services alongside traditional ML within product engineering |
| + | GoSolve acquisition (2025) adds cloud-native and high-performance computing depth |
| + | London HQ provides EU and UK enterprise relationship management |
| + | Experience Engineering focus connects ML outcomes to user-facing product features |
| - | $100K minimum engagement limits access for smaller and mid-market companies |
| - | AI is part of a broader service offering — not an ML-first or AI-specialist firm |
| - | Less publicly documented in pure ML model research than boutique ML 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 Ciklum?
Ciklum is the right choice for global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus.
4,000-person Experience Engineering firm with 250+ enterprise clients and generative AI delivery integrated into large product programmes. Minimum engagement starts at $100K. Works best with clients in Fintech, Healthcare, 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: Ciklum vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Both offer fixed-price models |
| You need a large dedicated team for an ongoing programme | Ciklum |
| Your budget is at the lower end | Ciklum |
| You need specialist depth in a specific vertical | Ciklum |
| 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: Ciklum vs EPAM Systems
| Use case | Ciklum fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Generative AI features integrated into large enterprise digital products | Strong | Limited | Ciklum |
| ML-powered personalisation for consumer-facing applications at scale | Strong | Limited | Ciklum |
| Enterprise AI transformation programmes for Fortune 500 organisations | Strong | Strong | Both equally |
| 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: Ciklum vs EPAM Systems
Ciklum (3.6/5) is the stronger overall choice for most Machine Learning Development projects. 4,000-person Experience Engineering firm with 250+ enterprise clients and generative AI delivery integrated into large product programmes. It is best for global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus.
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
Ciklum vs EPAM Systems FAQ
Is Ciklum better than EPAM Systems?
Ciklum (3.6/5) scores higher overall, but "better" depends on your use case. Ciklum is better for global enterprises seeking AI features embedded in large-scale digital product programmes with Experience Engineering focus. 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 Ciklum and EPAM Systems differ in pricing?
Ciklum uses dedicated team, t&m pricing with a minimum engagement of $100K. 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: Ciklum or EPAM Systems?
EPAM Systems 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 Ciklum and EPAM Systems?
Ciklum's primary differentiator is: 4,000-person experience engineering firm with 250+ enterprise clients and generative ai delivery integrated into large product programmes. 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 (4,000+ vs 60,000+), minimum engagement ($100K vs $200K+), and primary industries served (Fintech, Healthcare vs Fintech, Healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.