EPAM Systems vs Infosys: full comparison for 2026
Last updated: July 2026
Quick verdict
EPAM Systems (3.9/5) edges ahead of Infosys (3.9/5) overall. EPAM Systems is the better choice for very large enterprises wanting a publicly traded, AWS Global Partner of the Year-caliber vendor with a proprietary AI orchestration platform.. Infosys is the stronger option for very large global enterprises wanting a substantial library of pre-built, reusable AI models and assets rather than starting entirely from scratch.. The right choice depends on your project size, budget, and required tech stack.
EPAM Systems vs Infosys: head-to-head summary
| Criterion | EPAM Systems | Infosys |
|---|---|---|
| Founded | 1993 | 1981 |
| HQ | Newtown, USA | Bengaluru, India |
| Team size | 10,000+ | 10,000+ |
| Rating | 3.9 / 5 | 3.9 / 5 |
| Best for | Very large enterprises wanting a publicly traded, AWS Global Partner of the Year-caliber vendor with a proprietary AI orchestration platform. | Very large global enterprises wanting a substantial library of pre-built, reusable AI models and assets rather than starting entirely from scratch. |
| Pricing model | Not published; enterprise project engagements | Not published; enterprise project engagements |
| Min. engagement | Not published | Not published |
| Primary tech stack | AWS SageMaker, Amazon Bedrock, EPAM DIAL (proprietary) | Infosys Topaz (proprietary), Topaz Fabric (proprietary), Cloud ML platforms (AWS/Azure/GCP) |
| Industries served | Financial services, Life sciences, Media, Travel and hospitality | Banking and financial services, Manufacturing, Retail, Telecommunications |
EPAM Systems vs Infosys: overview
EPAM Systems
EPAM Systems was founded in 1993 in Newtown, Pennsylvania by Arkadiy Dobkin and Leo Lozner, and has grown into a publicly traded (NYSE: EPAM) global engineering company with more than 53,000 employees. EPAM's AI/ML practice includes model development and deployment on Amazon SageMaker and Amazon Bedrock, MLOps, and its proprietary DIAL platform, an enterprise AI orchestration layer. The company was named AWS Global Innovation Partner of the Year in 2025 and holds AWS Premier Tier Services Partner status, reflecting deep hyperscaler-certified delivery capability at very large scale.
Infosys
Infosys was founded in 1981 in Pune by seven engineers including N.R. Narayana Murthy and Nandan Nilekani, and is headquartered in Bengaluru with more than 330,000 employees worldwide, trading publicly on the NYSE under INFY. Its AI practice, branded Infosys Topaz, reports more than 12,000 AI assets, over 150 pre-trained AI models, and more than ten AI platforms supporting machine learning, generative AI, conversational AI, and intelligent automation work across industry verticals. The company recently launched Topaz Fabric, a composable stack of AI agents, services, and models intended to accelerate enterprise AI investment value.
Services and capabilities: EPAM Systems vs Infosys
| Capability | EPAM Systems | Infosys |
|---|---|---|
| Custom model training | ✓ | ✓ |
| Fine-tuning & adaptation | ✗ | ✗ |
| MLOps pipeline | ✓ | ✓ |
| Model deployment & serving | ✓ | ✓ |
| Data engineering for ML | ✗ | ✗ |
| ML infrastructure management | ✓ | ✗ |
| Computer vision | ✗ | ✗ |
| NLP & LLM development | ✗ | ✗ |
| Forecasting & time-series modeling | ✗ | ✗ |
| ML strategy consulting | ✗ | ✓ |
Tech stack comparison: EPAM Systems vs Infosys
| Framework / platform | EPAM Systems | Infosys |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| MLflow | N/A | N/A |
| AWS SageMaker | ✓ | N/A |
| Amazon Bedrock | ✓ | N/A |
| Google Cloud | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Kubernetes | ✓ | N/A |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | N/A |
Pricing comparison: EPAM Systems vs Infosys
| Criterion | EPAM Systems | Infosys |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Enterprise project engagement, Managed AI services | Enterprise project engagement, Managed AI services, Composable agent platform (Topaz Fabric) |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: EPAM Systems vs Infosys
| Dimension | EPAM Systems | Infosys |
|---|---|---|
| Best company size | Enterprise | Enterprise |
| Best industries | Financial services, Life sciences, Media | Banking and financial services, Manufacturing, Retail |
| Best use cases | Very large enterprises needing an AWS Global Partner of the Year-caliber vendor for ML platform work, Deploying models on Amazon SageMaker or Bedrock with EPAM's proprietary DIAL orchestration layer | Very large enterprises wanting to accelerate AI delivery using a large library of pre-built models and assets, Deploying composable AI agents via the Topaz Fabric platform across multiple business functions |
| Typical project type | Enterprise project engagement | Enterprise project engagement |
EPAM Systems vs Infosys: pros and cons
| EPAM Systems | |
|---|---|
| + | 2025 AWS Global Innovation Partner of the Year, an independently awarded distinction from AWS itself. |
| + | Proprietary DIAL orchestration platform provides a differentiated technical asset beyond standard consulting delivery. |
| + | Publicly traded (NYSE: EPAM) with substantial financial transparency and scale (53,000+ employees). |
| + | AWS Premier Tier Services Partner status confirms deep, audited hyperscaler certification. |
| - | Very large, generalist software engineering brand means ML/AI is one of many practice areas, not a dedicated specialization. |
| - | No clearly located aggregate Clutch/G2 star rating specific to its AI practice in available public sources. |
| - | Pricing model and minimum engagement are not published, and enterprise minimums are typically substantial. |
| - | Named client-specific ML case studies were not clearly surfaced in available search results. |
| Infosys | |
|---|---|
| + | Largest disclosed pre-built AI asset library in this comparison (12,000+ assets, 150+ pre-trained models) can materially speed up delivery. |
| + | New Topaz Fabric composable AI agent platform reflects continued investment in productized AI tooling. |
| + | Publicly traded (NYSE: INFY) with more than four decades of operating history and strong financial transparency. |
| + | Very large global workforce (330,000+) supports substantial multi-region program capacity. |
| - | Specific founding date, headquarters, and team size for the Topaz practice itself are not separately disclosed from the parent company in available public sources. |
| - | No clearly located aggregate Clutch/G2 star rating specific to its AI practice. |
| - | Pricing model and minimum engagement are not published, and typical minimums are substantial for enterprise engagements. |
| - | Heavy reliance on pre-built assets may be less suited to clients needing a fully custom, from-scratch model architecture. |
Who should choose EPAM Systems?
EPAM Systems is the right choice for very large enterprises wanting a publicly traded, AWS Global Partner of the Year-caliber vendor with a proprietary AI orchestration platform..
Proprietary EPAM DIAL platform for enterprise AI orchestration, combined with the 2025 AWS Global Innovation Partner of the Year distinction, an award-level differentiator not held by most peers.. Minimum engagement starts at Not published. Works best with clients in Financial services, Life sciences, Media, Travel and hospitality.
Who should choose Infosys?
Infosys is the right choice for very large global enterprises wanting a substantial library of pre-built, reusable AI models and assets rather than starting entirely from scratch..
Largest disclosed library of reusable, pre-trained AI assets in this comparison (12,000+ assets, 150+ pre-trained models), positioned to accelerate delivery versus fully bespoke builds.. Minimum engagement starts at Not published. Works best with clients in Banking and financial services, Manufacturing, Retail, Telecommunications.
Decision matrix: EPAM Systems vs Infosys
| 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 | Check each company's engagement model |
| Your budget is at the lower end | Compare: EPAM Systems (Not published) vs Infosys (Not published) |
| You need specialist depth in a specific vertical | EPAM Systems |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Infosys |
Use case fit: EPAM Systems vs Infosys
| Use case | EPAM Systems fit | Infosys fit | Winner |
|---|---|---|---|
| Very large enterprises needing an AWS Global Partner of the Year-caliber vendor for ML platform work | Strong | Strong | Both equally |
| Deploying models on Amazon SageMaker or Bedrock with EPAM's proprietary DIAL orchestration layer | Strong | Strong | Both equally |
| Very large enterprises wanting to accelerate AI delivery using a large library of pre-built models and assets | Strong | Strong | Both equally |
| Deploying composable AI agents via the Topaz Fabric platform across multiple business functions | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Strong | Limited | EPAM Systems |
Verdict: EPAM Systems vs Infosys
EPAM Systems (3.9/5) is the stronger overall choice for most ML Model Development projects. Proprietary EPAM DIAL platform for enterprise AI orchestration, combined with the 2025 AWS Global Innovation Partner of the Year distinction, an award-level differentiator not held by most peers.. It is best for very large enterprises wanting a publicly traded, AWS Global Partner of the Year-caliber vendor with a proprietary AI orchestration platform..
Infosys (3.9/5) is the better choice when very large global enterprises wanting a substantial library of pre-built, reusable AI models and assets rather than starting entirely from scratch.. If your situation matches those criteria, Infosys is a competitive option.
Related comparisons
EPAM Systems vs Infosys FAQ
Is EPAM Systems better than Infosys?
EPAM Systems (3.9/5) scores higher overall, but "better" depends on your use case. EPAM Systems is better for very large enterprises wanting a publicly traded, AWS Global Partner of the Year-caliber vendor with a proprietary AI orchestration platform.. Infosys is better for very large global enterprises wanting a substantial library of pre-built, reusable AI models and assets rather than starting entirely from scratch..
How do EPAM Systems and Infosys differ in pricing?
EPAM Systems uses not published; enterprise project engagements pricing with a minimum engagement of Not published. Infosys uses not published; enterprise project engagements 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: EPAM Systems or Infosys?
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 EPAM Systems and Infosys?
EPAM Systems's primary differentiator is: proprietary epam dial platform for enterprise ai orchestration, combined with the 2025 aws global innovation partner of the year distinction, an award-level differentiator not held by most peers.. Infosys's primary differentiator is: largest disclosed library of reusable, pre-trained ai assets in this comparison (12,000+ assets, 150+ pre-trained models), positioned to accelerate delivery versus fully bespoke builds.. They also differ in team size (10,000+ vs 10,000+), minimum engagement (Not published vs Not published), and primary industries served (Financial services, Life sciences vs Banking and financial services, Manufacturing).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.