Aptus Data Labs vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Aptus Data Labs (4.0/5) edges ahead of EPAM Systems (3.9/5) overall. Aptus Data Labs is the better choice for companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth.. 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.
Aptus Data Labs vs EPAM Systems: head-to-head summary
| Criterion | Aptus Data Labs | EPAM Systems |
|---|---|---|
| Founded | 2014 | 1993 |
| HQ | Bengaluru, India | Newtown, USA |
| Team size | 51–200 | 10,000+ |
| Rating | 4.0 / 5 | 3.9 / 5 |
| Best for | Companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth. | 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; project-based | Not published; enterprise project engagements |
| Min. engagement | Not published | Not published |
| Primary tech stack | AWS AI services, Python, Data engineering/analytics tooling | AWS SageMaker, Amazon Bedrock, EPAM DIAL (proprietary) |
| Industries served | Enterprise (cross-industry), Financial services | Financial services, Life sciences, Media, Travel and hospitality |
Aptus Data Labs vs EPAM Systems: overview
Aptus Data Labs
Aptus Data Labs is a data engineering and advanced analytics company founded in 2014 in Bangalore by Ravindra Swamy and Samir Kumar Sahoo. The company offers analytical solutions and consulting services aimed at helping businesses make data-driven decisions, with a practice that spans cloud solutions and AWS AI services alongside core data engineering. Reported employee counts vary across sources from roughly 45 to a few hundred, positioning it as a smaller boutique analytics firm rather than a large-scale delivery organization.
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: Aptus Data Labs vs EPAM Systems
| Capability | Aptus Data Labs | 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: Aptus Data Labs vs EPAM Systems
| Framework / platform | Aptus Data Labs | EPAM Systems |
|---|---|---|
| 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: Aptus Data Labs vs EPAM Systems
| Criterion | Aptus Data Labs | EPAM Systems |
|---|---|---|
| Minimum engagement | Not published | Not published |
| Engagement models | Fixed project, Consulting engagement | Enterprise project engagement, Managed AI services |
| Rate transparency | Not public | Not public |
| Price tier | Mid-market | Mid-market |
Target audience comparison: Aptus Data Labs vs EPAM Systems
| Dimension | Aptus Data Labs | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Enterprise |
| Best industries | Enterprise (cross-industry), Financial services | Financial services, Life sciences, Media |
| Best use cases | Building AWS-native data engineering pipelines to support downstream ML models, Running a focused analytics consulting engagement for a mid-market Indian or global company | 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 | Fixed project | Enterprise project engagement |
Aptus Data Labs vs EPAM Systems: pros and cons
| Aptus Data Labs | |
|---|---|
| + | Decade-plus operating history as a focused data engineering and analytics boutique. |
| + | Specific AWS AI services expertise adds credibility for AWS-standardized buyers. |
| + | Founder-led with stable leadership since 2014. |
| + | Boutique size may offer more attentive, senior-level engagement than larger firms. |
| - | Employee count estimates vary widely across sources, creating uncertainty about actual delivery capacity. |
| - | Public, named case studies with quantified ML outcomes are limited in available sources. |
| - | No clearly located aggregate Clutch/G2 star rating in available public sources. |
| - | Smaller scale limits suitability for very large, multi-region enterprise programs. |
| 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 Aptus Data Labs?
Aptus Data Labs is the right choice for companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth..
Combines core data engineering consulting with specific AWS AI service implementation expertise in a boutique-sized team.. Minimum engagement starts at Not published. Works best with clients in Enterprise (cross-industry), Financial services.
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: Aptus Data Labs vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Aptus Data Labs |
| You need a large dedicated team for an ongoing programme | Check each company's engagement model |
| Your budget is at the lower end | Compare: Aptus Data Labs (Not published) vs EPAM Systems (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 | Both may offer discovery engagements |
Use case fit: Aptus Data Labs vs EPAM Systems
| Use case | Aptus Data Labs fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Building AWS-native data engineering pipelines to support downstream ML models | Strong | Limited | Aptus Data Labs |
| Running a focused analytics consulting engagement for a mid-market Indian or global company | Strong | Strong | Both equally |
| Very large enterprises needing an AWS Global Partner of the Year-caliber vendor for ML platform work | Limited | Strong | EPAM Systems |
| Deploying models on Amazon SageMaker or Bedrock with EPAM's proprietary DIAL orchestration layer | Limited | Strong | EPAM Systems |
| Fixed-price build | Limited | Limited | Both equally |
| MLOps pipeline setup | Limited | Strong | EPAM Systems |
Verdict: Aptus Data Labs vs EPAM Systems
Aptus Data Labs (4.0/5) is the stronger overall choice for most ML Model Development projects. Combines core data engineering consulting with specific AWS AI service implementation expertise in a boutique-sized team.. It is best for companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth..
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.
Related comparisons
Aptus Data Labs vs EPAM Systems FAQ
Is Aptus Data Labs better than EPAM Systems?
Aptus Data Labs (4.0/5) scores higher overall, but "better" depends on your use case. Aptus Data Labs is better for companies wanting a boutique, India-based data engineering and analytics firm with AWS AI service depth.. 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 Aptus Data Labs and EPAM Systems differ in pricing?
Aptus Data Labs uses not published; project-based 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: Aptus Data Labs or EPAM Systems?
Aptus Data Labs 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 Aptus Data Labs and EPAM Systems?
Aptus Data Labs's primary differentiator is: combines core data engineering consulting with specific aws ai service implementation expertise in a boutique-sized team.. 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 (51–200 vs 10,000+), minimum engagement (Not published vs Not published), and primary industries served (Enterprise (cross-industry), Financial services vs Financial services, Life sciences).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.