Fractal Analytics vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Fractal Analytics (4.4/5) edges ahead of EPAM Systems (3.8/5) overall. Fractal Analytics is the better choice for large enterprises wanting a publicly-listed, financially transparent AI/analytics partner with two-decade track record.. EPAM Systems is the stronger option for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner.. The right choice depends on your project size, budget, and required tech stack.
Fractal Analytics vs EPAM Systems: head-to-head summary
| Criterion | Fractal Analytics | EPAM Systems |
|---|---|---|
| Founded | 2000 | 1993 |
| HQ | Mumbai, India / New York, USA | Newtown, Pennsylvania, USA |
| Team size | 5,001–10,000 | 10,000+ |
| Rating | 4.4 / 5 | 3.8 / 5 |
| Best for | Large enterprises wanting a publicly-listed, financially transparent AI/analytics partner with two-decade track record. | The largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner. |
| Pricing model | Fixed project and managed analytics engagements | Managed services and fixed project |
| Min. engagement | Not published | Not published |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, EPAM DIAL, Azure OpenAI |
| Industries served | Retail, Financial Services, Healthcare, Technology/SaaS | Financial Services, Healthcare, Retail, Technology/SaaS, Government |
Fractal Analytics vs EPAM Systems: overview
Fractal Analytics
Fractal Analytics is a multinational AI and data analytics company founded in 2000 in Mumbai by Srikanth Velamakanni, Pranay Agrawal, Nirmal Palaparthi, Pradeep Suryanarayan, and Ramakrishna Reddy, with dual headquarters in Mumbai and New York. The company completed an initial public offering on India's National Stock Exchange and Bombay Stock Exchange in February 2026, becoming the first Indian AI company to go public, and reports roughly 5,000–6,900 employees across 18 global locations.
EPAM Systems
EPAM Systems is a global digital engineering company founded in 1993 by Arkadiy Dobkin and Leo Lozner, listed on the NYSE since 2012, with approximately 62,850 employees as of end of 2025. The company has built a proprietary AI orchestration platform, EPAM DIAL, for managing large language models in production, but AI/ML delivery represents one part of an enormous, broadly diversified enterprise engineering portfolio.
Services and capabilities: Fractal Analytics vs EPAM Systems
| Capability | Fractal Analytics | EPAM Systems |
|---|---|---|
| Custom ML model development | ✓ | ✓ |
| Deep learning & computer vision | ✗ | ✗ |
| NLP & LLM / Generative AI | ✗ | ✓ |
| MLOps & production deployment | ✗ | ✓ |
| Data engineering | ✓ | ✗ |
| AI strategy consulting | ✓ | ✓ |
| Staff augmentation | ✗ | ✓ |
Tech stack comparison: Fractal Analytics vs EPAM Systems
| Framework / platform | Fractal Analytics | EPAM Systems |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | N/A |
| PyTorch | ✓ | N/A |
| AWS | ✓ | ✓ |
| Azure | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| Kubernetes | N/A | ✓ |
| Databricks | N/A | N/A |
| LangChain | N/A | N/A |
Pricing comparison: Fractal Analytics vs EPAM Systems
| Criterion | Fractal Analytics | EPAM Systems |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Managed services | Managed services, Fixed project, Staff augmentation |
| Rate transparency | Not public | Not public |
| Price tier | Enterprise / not published | Enterprise / not published |
Target audience comparison: Fractal Analytics vs EPAM Systems
| Dimension | Fractal Analytics | EPAM Systems |
|---|---|---|
| Best company size | Enterprise | Enterprise |
| Best industries | Retail, Financial Services, Healthcare | Financial Services, Healthcare, Retail |
| Best use cases | Enterprise AI and analytics transformation programs at global scale, Buyers who specifically want a publicly-listed AI vendor for procurement/compliance reasons | Global enterprises needing AI delivered at a scale only a 60,000+ employee firm can support, Programs that specifically want to leverage the EPAM DIAL LLM orchestration platform |
| Typical project type | Fixed project | Managed services |
Fractal Analytics vs EPAM Systems: pros and cons
| Fractal Analytics | |
|---|---|
| + | 25 years of continuous operation, among the longest track records on this list |
| + | Public listing (NSE/BSE, Feb 2026) adds a level of financial disclosure most private competitors lack |
| + | 5,000+ employees across 18 countries supports very large, globally distributed programs |
| + | Founding team has remained core to the company since 2000 |
| - | Enterprise scale and public-company overhead can mean longer sales cycles than boutique competitors |
| - | Broad analytics positioning means ML-specialist depth is one part of a wider data/AI portfolio |
| - | Minimum engagement size not publicly disclosed |
| EPAM Systems | |
|---|---|
| + | Largest, most globally distributed team on this list, supporting essentially unlimited program scale |
| + | NYSE listing (since 2012) provides the highest level of public financial transparency among firms reviewed here |
| + | Proprietary EPAM DIAL platform for LLM orchestration shows real internal AI infrastructure investment |
| + | 32 years of continuous operation across more than 55 countries |
| - | AI/ML is a specialization within an enormous generalist engineering portfolio, not the company's defining focus |
| - | Scale of the organization can translate into higher account-management overhead for smaller engagements |
| - | Buyers wanting a boutique, founder-accessible relationship will find that better served by smaller firms on this list |
Who should choose Fractal Analytics?
Fractal Analytics is the right choice for large enterprises wanting a publicly-listed, financially transparent AI/analytics partner with two-decade track record..
First Indian AI company to complete an IPO (NSE/BSE, February 2026), adding public financial transparency.. Minimum engagement starts at Not published. Works best with clients in Retail, Financial Services, Healthcare, Technology/SaaS.
Who should choose EPAM Systems?
EPAM Systems is the right choice for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner..
Largest headcount on this list (62,000+) with NYSE-listed financial transparency and a proprietary LLM orchestration platform (EPAM DIAL).. Minimum engagement starts at Not published. Works best with clients in Financial Services, Healthcare, Retail, Technology/SaaS, Government.
Decision matrix: Fractal Analytics vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Fractal Analytics |
| You need a large dedicated team for an ongoing programme | Check each company's engagement model |
| Your budget is at the lower end | Compare: Fractal Analytics (Not published) vs EPAM Systems (Not published) |
| You need specialist depth in a specific vertical | EPAM Systems |
| You need staff augmentation or team extension | EPAM Systems |
| You need consulting before committing to a build | Fractal Analytics |
Use case fit: Fractal Analytics vs EPAM Systems
| Use case | Fractal Analytics fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Enterprise AI and analytics transformation programs at global scale | Strong | Strong | Both equally |
| Buyers who specifically want a publicly-listed AI vendor for procurement/compliance reasons | Strong | Limited | Fractal Analytics |
| Global enterprises needing AI delivered at a scale only a 60,000+ employee firm can support | Strong | Strong | Both equally |
| Programs that specifically want to leverage the EPAM DIAL LLM orchestration platform | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: Fractal Analytics vs EPAM Systems
Fractal Analytics (4.4/5) is the stronger overall choice for most Machine Learning Development projects. First Indian AI company to complete an IPO (NSE/BSE, February 2026), adding public financial transparency.. It is best for large enterprises wanting a publicly-listed, financially transparent AI/analytics partner with two-decade track record..
EPAM Systems (3.8/5) is the better choice when the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner.. If your situation matches those criteria, EPAM Systems is a competitive option.
Related comparisons
Fractal Analytics vs EPAM Systems FAQ
Is Fractal Analytics better than EPAM Systems?
Fractal Analytics (4.4/5) scores higher overall, but "better" depends on your use case. Fractal Analytics is better for large enterprises wanting a publicly-listed, financially transparent AI/analytics partner with two-decade track record.. EPAM Systems is better for the largest global enterprises needing AI delivery embedded inside a massive, publicly traded, multi-service engineering partner..
How do Fractal Analytics and EPAM Systems differ in pricing?
Fractal Analytics uses fixed project and managed analytics engagements pricing with a minimum engagement of Not published. EPAM Systems uses managed services and fixed project pricing with a minimum engagement of Not published. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: Fractal Analytics or EPAM Systems?
Fractal Analytics is the larger team and typically the better enterprise-scale choice. For very large programmes, verify team size and compliance coverage directly with each agency before shortlisting.
What are the main differences between Fractal Analytics and EPAM Systems?
Fractal Analytics's primary differentiator is: first indian ai company to complete an ipo (nse/bse, february 2026), adding public financial transparency.. EPAM Systems's primary differentiator is: largest headcount on this list (62,000+) with nyse-listed financial transparency and a proprietary llm orchestration platform (epam dial).. They also differ in team size (5,001–10,000 vs 10,000+), minimum engagement (Not published vs Not published), and primary industries served (Retail, Financial Services vs Financial Services, Healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.