Ciklum vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Ciklum (4.1/5) edges ahead of EPAM Systems (3.8/5) overall. Ciklum is the better choice for digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery. EPAM Systems is the stronger option for global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation. 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 |
| Team size | 3,000+ | 50,000+ |
| Rating | 4.1 / 5 | 3.8 / 5 |
| Best for | Digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery | Global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation |
| Pricing model | Dedicated team, T&M, fixed project | Dedicated team, T&M |
| Min. engagement | $75K | ~$200K+ |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | Financial Services, Retail & E-commerce, Healthcare & Life Sciences, Media & Entertainment, SaaS & Technology | Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial, Media & Entertainment, Retail & E-commerce |
Ciklum vs EPAM Systems: overview
Ciklum
Ciklum is an AI-powered experience engineering company founded in 2002 and headquartered in London, UK, with 3,000+ engineers across 19 global locations. The firm brings 25+ years of product and AI excellence to FinTech, Retail, Healthcare, and Hi-Tech — from foundational AI and agentic automation to accelerated software engineering. Ciklum reports 25+ AI products already in production and 10+ years of AI expertise, and serves enterprise clients globally.
EPAM Systems
EPAM Systems is a global software engineering and IT services company founded in 1993 and headquartered in Newtown, PA, with 50,000+ professionals. The firm offers AI-native engineering services with a focus on scaling ML, generative AI, and agentic systems across large enterprises with strict governance requirements. EPAM is a powerhouse for building complex, software-heavy AI products from scratch, though it comes at a premium price point.
Services and capabilities: Ciklum vs EPAM Systems
| Capability | Ciklum | EPAM Systems |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP & LLMs | ✗ | ✗ |
| MLOps & deployment | ✓ | ✓ |
| Generative AI | ✓ | ✓ |
| Staff augmentation | ✓ | ✓ |
Tech stack comparison: Ciklum vs EPAM Systems
| Framework / platform | Ciklum | EPAM Systems |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
| Vertex AI | N/A | N/A |
| Scikit-learn | N/A | N/A |
| Hugging Face | N/A | N/A |
| Apache Spark | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
| MLflow | N/A | N/A |
Pricing comparison: Ciklum vs EPAM Systems
| Criterion | Ciklum | EPAM Systems |
|---|---|---|
| Minimum engagement | $75K | ~$200K+ |
| Engagement models | Dedicated team, Time & materials, Fixed project | Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Enterprise |
Target audience comparison: Ciklum vs EPAM Systems
| Dimension | Ciklum | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial Services, Retail & E-commerce, Healthcare & Life Sciences | Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial |
| Best use cases | Enterprise FinTech AI product build with agentic automation and fraud detection ML, Retail personalisation AI platform with product recommendation and pricing optimisation | Global AI transformation programme for Fortune 100 enterprise with multi-year delivery scope, Enterprise GenAI platform with strict governance and compliance for regulated financial institution |
| Typical project type | Dedicated team | Dedicated team |
Ciklum vs EPAM Systems: pros and cons
| Ciklum | |
|---|---|
| + | 25+ AI products verified in production — strong proof of delivery, not just design |
| + | Global 19-location delivery network for enterprise programmes requiring regional presence |
| + | FinTech, Retail, and Healthcare vertical depth with domain-specific ML capabilities |
| + | Agentic AI and automation practice alongside core ML development |
| + | London HQ provides natural alignment with GDPR and EU AI regulatory frameworks |
| - | $75K minimum limits accessibility for smaller ML projects |
| - | Large-firm delivery model — less agile and responsive than boutiques for fast-iteration work |
| - | Ukraine and Eastern Europe delivery mix carries geopolitical risk for some enterprise procurement teams |
| EPAM Systems | |
|---|---|
| + | 50,000+ professionals — unmatched delivery scale for global multi-stream AI programmes |
| + | AI-native engineering practice purpose-built for scaling ML, GenAI, and agentic systems |
| + | Strict governance and compliance frameworks for regulated enterprise AI delivery |
| + | Full-stack capability from hardware infrastructure through ML models to frontend AI products |
| + | Strong US and Eastern European delivery mix for cost-performance balance at enterprise scale |
| - | ~$200K+ minimum makes EPAM inaccessible for all but the largest enterprise budgets |
| - | Large-firm overhead — procurement, contracting, and ramp-up timelines are significantly longer than boutiques |
| - | Generalist breadth means less niche ML depth than boutiques in specific domains like healthcare imaging or time-series |
Who should choose Ciklum?
Ciklum is the right choice for digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery.
25+ AI products in production combined with 3,000+ global engineers — enterprise AI scale without the big-four overhead. Minimum engagement starts at $75K. Works best with clients in Financial Services, Retail & E-commerce, Healthcare & Life Sciences, Media & Entertainment, SaaS & Technology.
Who should choose EPAM Systems?
EPAM Systems is the right choice for global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation.
AI-native engineering practice at 50,000-person scale — the broadest talent pool and delivery capacity of any firm on this list. Minimum engagement starts at ~$200K+. Works best with clients in Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial, Media & Entertainment, Retail & E-commerce.
Decision matrix: Ciklum vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Ciklum |
| 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 | Ciklum |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Ciklum vs EPAM Systems
| Use case | Ciklum fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Enterprise FinTech AI product build with agentic automation and fraud detection ML | Strong | Strong | Both equally |
| Retail personalisation AI platform with product recommendation and pricing optimisation | Strong | Limited | Ciklum |
| Global AI transformation programme for Fortune 100 enterprise with multi-year delivery scope | Limited | Strong | EPAM Systems |
| Enterprise GenAI platform with strict governance and compliance for regulated financial institution | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Strong | Limited | Ciklum |
Verdict: Ciklum vs EPAM Systems
Ciklum (4.1/5) is the stronger overall choice for most Machine Learning Development projects. 25+ AI products in production combined with 3,000+ global engineers — enterprise AI scale without the big-four overhead. It is best for digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery.
EPAM Systems (3.8/5) is the better choice when global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation. 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 (4.1/5) scores higher overall, but "better" depends on your use case. Ciklum is better for digital enterprises in FinTech, Retail, or Healthcare that need AI-powered product engineering at scale with global delivery. EPAM Systems is better for global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation.
How do Ciklum and EPAM Systems differ in pricing?
Ciklum uses dedicated team, t&m, fixed project pricing with a minimum engagement of $75K. 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: 25+ ai products in production combined with 3,000+ global engineers — enterprise ai scale without the big-four overhead. EPAM Systems's primary differentiator is: ai-native engineering practice at 50,000-person scale — the broadest talent pool and delivery capacity of any firm on this list. They also differ in team size (3,000+ vs 50,000+), minimum engagement ($75K vs ~$200K+), and primary industries served (Financial Services, Retail & E-commerce vs Financial Services, Healthcare & Life Sciences).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.