Quantiphi vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Quantiphi (4.2/5) edges ahead of EPAM Systems (3.9/5) overall. Quantiphi is the better choice for enterprises standardized on AWS wanting a partner with the deepest documented AWS AI/ML partnership credentials in this comparison.. EPAM Systems is the stronger option for very large enterprises wanting a publicly traded, AWS Global Partner of the Year-caliber vendor with a proprietary AI orchestration platform.. The right choice depends on your project size, budget, and required tech stack.
Quantiphi vs EPAM Systems: head-to-head summary
| Criterion | Quantiphi | EPAM Systems |
|---|---|---|
| Founded | 2013 | 1993 |
| HQ | Marlborough, USA | Newtown, USA |
| Team size | 1,001–5,000 | 10,000+ |
| Rating | 4.2 / 5 | 3.9 / 5 |
| Best for | Enterprises standardized on AWS wanting a partner with the deepest documented AWS AI/ML partnership credentials in this comparison. | Very large enterprises wanting a publicly traded, AWS Global Partner of the Year-caliber vendor with a proprietary AI orchestration platform. |
| 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, AWS | AWS SageMaker, Amazon Bedrock, EPAM DIAL (proprietary) |
| Industries served | Public sector, Healthcare, Financial services, Media | Financial services, Life sciences, Media, Travel and hospitality |
Quantiphi vs EPAM Systems: overview
Quantiphi
Quantiphi is a digital engineering company founded in 2013 by Vivek Khemani, Asif Hasan, Ritesh Patel, and Reghu Hariharan, focused on applied artificial intelligence, machine learning, and data science for complex business problems. Headquartered in Marlborough, Massachusetts, the company operates across six global locations and reports between 1,000 and 5,000 employees. Quantiphi holds AWS Premier Global Consulting Partner status and was named the first Preferred Amazon Quick Global SI Partner by the AWS Generative AI Innovation Center, alongside being recognized as 2025 AWS Public Sector Global GenAI Consulting Partner of the Year.
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.
Services and capabilities: Quantiphi vs EPAM Systems
| Capability | Quantiphi | EPAM Systems |
|---|---|---|
| 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: Quantiphi vs EPAM Systems
| Framework / platform | Quantiphi | EPAM Systems |
|---|---|---|
| PyTorch | N/A | N/A |
| TensorFlow | N/A | N/A |
| MLflow | N/A | N/A |
| AWS SageMaker | ✓ | ✓ |
| Amazon Bedrock | ✓ | ✓ |
| Google Cloud | N/A | N/A |
| Microsoft Azure | N/A | N/A |
| Kubernetes | ✓ | ✓ |
| Snowflake | N/A | N/A |
| NVIDIA | N/A | N/A |
Pricing comparison: Quantiphi vs EPAM Systems
| Criterion | Quantiphi | EPAM Systems |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Enterprise project engagement, Managed AI services | Enterprise project engagement, Managed AI services |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Quantiphi vs EPAM Systems
| Dimension | Quantiphi | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Public sector, Healthcare, Financial services | Financial services, Life sciences, Media |
| Best use cases | Building and deploying ML models on AWS SageMaker at enterprise scale, Running a generative AI initiative using Amazon Bedrock with AWS-certified delivery support | 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 |
| Typical project type | Enterprise project engagement | Enterprise project engagement |
Quantiphi vs EPAM Systems: pros and cons
| Quantiphi | |
|---|---|
| + | Strongest documented AWS partnership tier (Premier Global Consulting Partner) among companies in this comparison. |
| + | 2025 AWS Public Sector Global GenAI Consulting Partner of the Year recognition. |
| + | Reported $630.2M in revenue signals substantial scale and financial stability. |
| + | Multi-location global presence supports enterprise clients needing regional delivery. |
| - | Heavy AWS specialization may be less useful for clients standardized on Azure or GCP. |
| - | No clearly located aggregate Clutch/G2 star rating in available public sources. |
| - | Employee count range (1,000–5,000) is wide, making exact delivery capacity hard to pin down. |
| - | Pricing model and minimum engagement are not published. |
| 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. |
Who should choose Quantiphi?
Quantiphi is the right choice for enterprises standardized on AWS wanting a partner with the deepest documented AWS AI/ML partnership credentials in this comparison..
Deepest AWS-specific partnership credentials among firms researched, including AWS GenAI Innovation Center preferred-partner status.. Minimum engagement starts at Not published. Works best with clients in Public sector, Healthcare, Financial services, Media.
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.
Decision matrix: Quantiphi 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 | Check each company's engagement model |
| Your budget is at the lower end | Compare: Quantiphi (Not published) vs EPAM Systems (Not published) |
| You need specialist depth in a specific vertical | Quantiphi |
| You need staff augmentation or team extension | Neither; consider alternatives that offer staff aug |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: Quantiphi vs EPAM Systems
| Use case | Quantiphi fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Building and deploying ML models on AWS SageMaker at enterprise scale | Strong | Limited | Quantiphi |
| Running a generative AI initiative using Amazon Bedrock with AWS-certified delivery support | Strong | Strong | Both equally |
| 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 |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Strong | Strong | Both equally |
Verdict: Quantiphi vs EPAM Systems
Quantiphi (4.2/5) is the stronger overall choice for most ML Model Development projects. Deepest AWS-specific partnership credentials among firms researched, including AWS GenAI Innovation Center preferred-partner status.. It is best for enterprises standardized on AWS wanting a partner with the deepest documented AWS AI/ML partnership credentials in this comparison..
EPAM Systems (3.9/5) is the better choice when very large enterprises wanting a publicly traded, AWS Global Partner of the Year-caliber vendor with a proprietary AI orchestration platform.. If your situation matches those criteria, EPAM Systems is a competitive option.
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Quantiphi vs EPAM Systems FAQ
Is Quantiphi better than EPAM Systems?
Quantiphi (4.2/5) scores higher overall, but "better" depends on your use case. Quantiphi is better for enterprises standardized on AWS wanting a partner with the deepest documented AWS AI/ML partnership credentials in this comparison.. 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..
How do Quantiphi and EPAM Systems differ in pricing?
Quantiphi uses not published; enterprise project engagements pricing with a minimum engagement of Not published. EPAM Systems 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: Quantiphi or EPAM Systems?
Quantiphi 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 Quantiphi and EPAM Systems?
Quantiphi's primary differentiator is: deepest aws-specific partnership credentials among firms researched, including aws genai innovation center preferred-partner status.. 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.. They also differ in team size (1,001–5,000 vs 10,000+), minimum engagement (Not published vs Not published), and primary industries served (Public sector, Healthcare vs Financial services, Life sciences).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.