10Pearls vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
EPAM Systems (3.9/5) edges ahead of 10Pearls (3.8/5) overall. EPAM Systems is the better choice for large enterprises requiring ML at Fortune 500 scale with global delivery capacity, stringent compliance requirements, and complex multi-system integration. 10Pearls is the stronger option for uS-based enterprises and government contractors needing AI-native delivery teams with North American proximity, government sector experience, and LATAM delivery capacity. The right choice depends on your project size, budget, and required tech stack.
10Pearls vs EPAM Systems: head-to-head summary
| Criterion | 10Pearls | EPAM Systems |
|---|---|---|
| Founded | 2004 | 1993 |
| HQ | Vienna, VA, USA | Newtown, PA, USA |
| Team size | 1,400+ | 62,000+ |
| Rating | 3.8 / 5 | 3.9 / 5 |
| Best for | US-based enterprises and government contractors needing AI-native delivery teams with North American proximity, government sector experience, and LATAM delivery capacity | Large enterprises requiring ML at Fortune 500 scale with global delivery capacity, stringent compliance requirements, and complex multi-system integration |
| Pricing model | Fixed project, Dedicated team, T&M | Dedicated team, T&M, Fixed project, Staff augmentation |
| Min. engagement | $30K | $50K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | healthcare, financial services, government, retail, logistics | financial services, healthcare, retail, media, government |
10Pearls vs EPAM Systems: overview
10Pearls
10Pearls is an AI-powered digital engineering company founded in 2004 and headquartered in Vienna, Virginia, in the Washington DC metro area. The company employs 1,400+ experts across North America, Latin America, Europe, and South Asia, and has been recognized four consecutive times on the CRN Solution Provider 500 list for enterprise AI delivery. 10Pearls serves enterprise and government clients in healthcare, financial services, and logistics with a focus on ML, cloud architecture, and cybersecurity-aware AI development.
EPAM Systems
EPAM Systems is a global technology engineering company founded in 1993 and headquartered in Newtown, Pennsylvania. The company employs 62,000+ engineers across 50+ countries and is publicly traded on the NYSE. EPAM provides end-to-end AI development services from strategy and consulting to implementation and support, working with Fortune 500 clients across financial services, healthcare, retail, media, and government. EPAM is the largest firm in this review, with AI/ML capabilities delivered within a full-service technology engineering operation.
Services and capabilities: 10Pearls vs EPAM Systems
| Capability | 10Pearls | EPAM Systems |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| ML consulting | ✓ | ✓ |
| Deep learning | ✗ | ✗ |
| NLP | ✗ | ✗ |
| Computer vision | ✗ | ✗ |
| MLOps | ✗ | ✓ |
| Predictive analytics | ✓ | ✗ |
| Generative AI | ✓ | ✓ |
| Data engineering | ✓ | ✓ |
| Staff augmentation | ✗ | ✓ |
Tech stack comparison: 10Pearls vs EPAM Systems
| Framework / platform | 10Pearls | EPAM Systems |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| Scikit-Learn | N/A | N/A |
| LangChain | N/A | N/A |
| AWS SageMaker | ✓ | ✓ |
| Azure ML | ✓ | ✓ |
| GCP Vertex AI | N/A | N/A |
| Kubernetes | ✓ | ✓ |
| Apache Spark | ✓ | ✓ |
| MLflow | N/A | ✓ |
Pricing comparison: 10Pearls vs EPAM Systems
| Criterion | 10Pearls | EPAM Systems |
|---|---|---|
| Minimum engagement | $30K | $50K |
| Engagement models | Fixed project, Dedicated team, T&M | Dedicated team, T&M, Fixed project, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: 10Pearls vs EPAM Systems
| Dimension | 10Pearls | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | healthcare, financial services, government | financial services, healthcare, retail |
| Best use cases | Federal government AI programme delivery with security clearance-compatible development practices, Healthcare ML development for clinical analytics under HIPAA constraints | Global enterprise AI transformation programme requiring multi-country deployment and governance, Complex Fortune 500 ML programme integrating across dozens of legacy systems |
| Typical project type | Fixed project | Dedicated team |
10Pearls vs EPAM Systems: pros and cons
| 10Pearls | |
|---|---|
| + | CRN Solution Provider 500 recognition (four times) independently validates enterprise AI delivery track record |
| + | Washington DC metro HQ well suited for US federal government ML programmes |
| + | LATAM delivery centers enable nearshore agility in US time zones at competitive rates |
| + | AI-native culture — ML is embedded in the engineering culture, not a separate practice |
| + | Cybersecurity-aware AI development important for government and healthcare buyers |
| - | Less specialist ML boutique depth for highly complex model architecture challenges |
| - | Government and healthcare focus means less consumer-facing ML or retail AI breadth |
| - | Minimum engagement ($30K) is on the higher end for US-based firms of this size |
| EPAM Systems | |
|---|---|
| + | 62,000+ engineers provides unmatched scale for simultaneous large-scale enterprise ML programmes |
| + | Publicly traded NYSE company with audited financials — maximum organizational stability and governance |
| + | Global delivery across 50+ countries enables ML delivery under local data sovereignty requirements |
| + | Full AI lifecycle from strategy through production MLOps within one organizational relationship |
| + | Fortune 500 client base validates enterprise-grade ML delivery at the highest complexity level |
| - | Enterprise scale means ML projects go through larger organizational process — slower initiation than boutiques |
| - | High minimum engagement ($50K) limits accessibility for SMBs or early-stage organizations |
| - | Generalist technology engineering scope means ML specialist depth may be lower per individual than pure-play ML boutiques |
Who should choose 10Pearls?
10Pearls is the right choice for uS-based enterprises and government contractors needing AI-native delivery teams with North American proximity, government sector experience, and LATAM delivery capacity.
AI-native engineering culture with four CRN Solution Provider 500 recognitions and 1,400+ experts spanning North America and LATAM for enterprise AI programmes. Minimum engagement starts at $30K. Works best with clients in healthcare, financial services, government, retail, logistics.
Who should choose EPAM Systems?
EPAM Systems is the right choice for large enterprises requiring ML at Fortune 500 scale with global delivery capacity, stringent compliance requirements, and complex multi-system integration.
62,000+ engineers across 50+ countries delivering ML inside a full-service technology engineering operation — unmatched scale and compliance depth for global enterprise AI programmes. Minimum engagement starts at $50K. Works best with clients in financial services, healthcare, retail, media, government.
Decision matrix: 10Pearls vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | 10Pearls |
| You need a large dedicated team for an ongoing programme | 10Pearls |
| Your budget is at the lower end | 10Pearls |
| You need specialist depth in a specific vertical | 10Pearls |
| You need staff augmentation or team extension | EPAM Systems |
| You need consulting before committing to a build | 10Pearls |
Use case fit: 10Pearls vs EPAM Systems
| Use case | 10Pearls fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Federal government AI programme delivery with security clearance-compatible development practices | Strong | Limited | 10Pearls |
| Healthcare ML development for clinical analytics under HIPAA constraints | Strong | Limited | 10Pearls |
| Global enterprise AI transformation programme requiring multi-country deployment and governance | Limited | Strong | EPAM Systems |
| Complex Fortune 500 ML programme integrating across dozens of legacy systems | Limited | Strong | EPAM Systems |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Limited | Both equally |
Verdict: 10Pearls vs EPAM Systems
EPAM Systems (3.9/5) is the stronger overall choice for most Machine Learning Development projects. 62,000+ engineers across 50+ countries delivering ML inside a full-service technology engineering operation — unmatched scale and compliance depth for global enterprise AI programmes. It is best for large enterprises requiring ML at Fortune 500 scale with global delivery capacity, stringent compliance requirements, and complex multi-system integration.
10Pearls (3.8/5) is the better choice when uS-based enterprises and government contractors needing AI-native delivery teams with North American proximity, government sector experience, and LATAM delivery capacity. If your situation matches those criteria, 10Pearls is a competitive option.
Related comparisons
10Pearls vs EPAM Systems FAQ
Is 10Pearls better than EPAM Systems?
EPAM Systems (3.9/5) scores higher overall, but "better" depends on your use case. 10Pearls is better for uS-based enterprises and government contractors needing AI-native delivery teams with North American proximity, government sector experience, and LATAM delivery capacity. EPAM Systems is better for large enterprises requiring ML at Fortune 500 scale with global delivery capacity, stringent compliance requirements, and complex multi-system integration.
How do 10Pearls and EPAM Systems differ in pricing?
10Pearls uses fixed project, dedicated team, t&m pricing with a minimum engagement of $30K. EPAM Systems uses dedicated team, t&m, fixed project, staff augmentation pricing with a minimum engagement of $50K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: 10Pearls 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 10Pearls and EPAM Systems?
10Pearls's primary differentiator is: ai-native engineering culture with four crn solution provider 500 recognitions and 1,400+ experts spanning north america and latam for enterprise ai programmes. EPAM Systems's primary differentiator is: 62,000+ engineers across 50+ countries delivering ml inside a full-service technology engineering operation — unmatched scale and compliance depth for global enterprise ai programmes. They also differ in team size (1,400+ vs 62,000+), minimum engagement ($30K vs $50K), and primary industries served (healthcare, financial services vs financial services, healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.