InData Labs vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
InData Labs (4.2/5) edges ahead of EPAM Systems (3.9/5) overall. InData Labs is the better choice for e-commerce, healthcare, and fintech teams needing NLP, computer vision, or recommendation systems at competitive rates. EPAM Systems is the stronger option for large enterprises needing scale, global delivery coverage, and programme management infrastructure alongside ML engineering. The right choice depends on your project size, budget, and required tech stack.
InData Labs vs EPAM Systems: head-to-head summary
| Criterion | InData Labs | EPAM Systems |
|---|---|---|
| Founded | 2014 | 1993 |
| HQ | Nicosia, Cyprus | Newtown, PA, USA |
| Team size | 80–150 | 58,000+ |
| Rating | 4.2 / 5 | 3.9 / 5 |
| Best for | E-commerce, healthcare, and fintech teams needing NLP, computer vision, or recommendation systems at competitive rates | Large enterprises needing scale, global delivery coverage, and programme management infrastructure alongside ML engineering |
| Pricing model | Fixed project, Dedicated team | T&M, Dedicated team |
| Min. engagement | $25K | $100K |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | Retail / E-commerce, Healthcare, Financial Services / Fintech, Logistics, Technology / SaaS, Media | Financial Services, Healthcare, Technology / SaaS, Media / Entertainment, Logistics, Retail / E-commerce |
InData Labs vs EPAM Systems: overview
InData Labs
InData Labs is a data science and AI consulting firm founded in 2014 and headquartered in Nicosia, Cyprus, with offices in Lithuania and the United States, and a team of 80+ professionals. The company specialises in generative AI, NLP, computer vision, and cognitive computing including sentiment analysis, fraud detection, and recommendation systems. InData Labs ranks in the Top 10 AI Software Companies on Clutch and holds positions on the cognitive computing and NLP company lists on that platform. Hourly rates are competitive and clients consistently cite strong value for money alongside technical depth.
EPAM Systems
EPAM Systems is a global digital transformation services company founded in 1993 and headquartered in Newtown, Pennsylvania, with over 58,000 professionals worldwide. It was ranked among the top three tech and AI companies on Glassdoor's Best Places to Work 2026. EPAM's AI and ML practice covers custom ML development, data engineering, generative AI, MLOps, and staff augmentation, delivered across financial services, healthcare, media, SaaS, and logistics. EPAM is best suited to enterprises needing a large-scale delivery partner with the governance, compliance, and programme management infrastructure of a major consultancy at software engineering rates.
Services and capabilities: InData Labs vs EPAM Systems
| Capability | InData Labs | EPAM Systems |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Deep learning | ✗ | ✗ |
| NLP / Text analytics | ✓ | ✗ |
| Computer vision | ✓ | ✗ |
| MLOps & deployment | ✗ | ✓ |
| Generative AI | ✓ | ✓ |
| AI strategy | ✗ | ✓ |
| Staff augmentation | ✗ | ✓ |
| Fixed-price projects | ✓ | ✗ |
| Dedicated team model | ✓ | ✓ |
Tech stack comparison: InData Labs vs EPAM Systems
| Framework / platform | InData Labs | EPAM Systems |
|---|---|---|
| Python | ✓ | ✓ |
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS | ✓ | ✓ |
| Kubernetes | N/A | ✓ |
| Databricks | N/A | ✓ |
| MLflow | N/A | N/A |
Pricing comparison: InData Labs vs EPAM Systems
| Criterion | InData Labs | EPAM Systems |
|---|---|---|
| Minimum engagement | $25K | $100K |
| Engagement models | Fixed project, Dedicated team, Time & materials | Time & materials, Dedicated team |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: InData Labs vs EPAM Systems
| Dimension | InData Labs | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Retail / E-commerce, Healthcare, Financial Services / Fintech | Financial Services, Healthcare, Technology / SaaS |
| Best use cases | Sentiment analysis and social listening NLP systems for marketing and brand teams, Fraud detection and risk scoring models for fintech and payment platforms | Enterprise-scale ML platform build requiring 50+ engineers across data engineering, ML, and MLOps tracks simultaneously, Global digital transformation programmes embedding ML into enterprise software at multiple business units |
| Typical project type | Fixed project | Time & materials |
InData Labs vs EPAM Systems: pros and cons
| InData Labs | |
|---|---|
| + | Top-10 Clutch ranking for AI software and cognitive computing is a verifiable third-party signal |
| + | Deep NLP and sentiment analysis capability rare at this price point in the ML agency market |
| + | Clients consistently rate value for money highly relative to deliverable quality |
| + | Strong secondary skills in computer vision and recommendation systems beyond the NLP core |
| + | Multiple office locations provide stable delivery options with Cyprus-EU regulatory alignment |
| - | Team of 80+ creates a capacity ceiling for very large simultaneous enterprise programmes |
| - | Less established for complex MLOps and production infrastructure than larger dedicated MLOps firms |
| - | Founded 2014 — solid track record, but younger than ScienceSoft or DataArt for clients requiring legacy system integration |
| EPAM Systems | |
|---|---|
| + | 58,000+ engineers provide unmatched concurrent delivery capacity for large-scale enterprise ML programmes |
| + | Glassdoor top-3 Best Tech & AI Company 2026 reflects high engineering talent quality and retention |
| + | Full global delivery footprint enables follow-the-sun support and multi-geography data processing compliance |
| + | Strong programme management and governance infrastructure reduces enterprise delivery risk on complex projects |
| + | ML capability combined with broader digital transformation services reduces vendor proliferation for enterprise buyers |
| - | $100K minimum and large-firm overhead pricing makes EPAM less suitable for mid-market or startup buyers |
| - | ML specialisation depth is diluted by the breadth of a 58,000-person general technology firm |
| - | Large firm bureaucracy and account management layers can slow decision-making on agile ML projects |
Who should choose InData Labs?
InData Labs is the right choice for e-commerce, healthcare, and fintech teams needing NLP, computer vision, or recommendation systems at competitive rates.
Top-10 Clutch-ranked cognitive computing and NLP specialist with competitive rates relative to Western boutiques of comparable review depth. Minimum engagement starts at $25K. Works best with clients in Retail / E-commerce, Healthcare, Financial Services / Fintech, Logistics, Technology / SaaS, Media.
Who should choose EPAM Systems?
EPAM Systems is the right choice for large enterprises needing scale, global delivery coverage, and programme management infrastructure alongside ML engineering.
Global scale with 58,000+ engineers and top-3 Glassdoor AI company ranking — rare ML delivery capacity for simultaneous large enterprise programmes. Minimum engagement starts at $100K. Works best with clients in Financial Services, Healthcare, Technology / SaaS, Media / Entertainment, Logistics, Retail / E-commerce.
Decision matrix: InData Labs vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | InData Labs |
| You need a large dedicated team for an ongoing programme | InData Labs |
| Your budget is at the lower end | InData Labs |
| You need specialist depth in a specific vertical | InData Labs |
| You need staff augmentation or team extension | EPAM Systems |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: InData Labs vs EPAM Systems
| Use case | InData Labs fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Sentiment analysis and social listening NLP systems for marketing and brand teams | Strong | Limited | InData Labs |
| Fraud detection and risk scoring models for fintech and payment platforms | Strong | Limited | InData Labs |
| Enterprise-scale ML platform build requiring 50+ engineers across data engineering, ML, and MLOps tracks simultaneously | Limited | Strong | EPAM Systems |
| Global digital transformation programmes embedding ML into enterprise software at multiple business units | Limited | Strong | EPAM Systems |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Limited | Strong | EPAM Systems |
Verdict: InData Labs vs EPAM Systems
InData Labs (4.2/5) is the stronger overall choice for most Machine Learning projects. Top-10 Clutch-ranked cognitive computing and NLP specialist with competitive rates relative to Western boutiques of comparable review depth. It is best for e-commerce, healthcare, and fintech teams needing NLP, computer vision, or recommendation systems at competitive rates.
EPAM Systems (3.9/5) is the better choice when large enterprises needing scale, global delivery coverage, and programme management infrastructure alongside ML engineering. If your situation matches those criteria, EPAM Systems is a competitive option.
Related comparisons
InData Labs vs EPAM Systems FAQ
Is InData Labs better than EPAM Systems?
InData Labs (4.2/5) scores higher overall, but "better" depends on your use case. InData Labs is better for e-commerce, healthcare, and fintech teams needing NLP, computer vision, or recommendation systems at competitive rates. EPAM Systems is better for large enterprises needing scale, global delivery coverage, and programme management infrastructure alongside ML engineering.
How do InData Labs and EPAM Systems differ in pricing?
InData Labs uses fixed project, dedicated team pricing with a minimum engagement of $25K. EPAM Systems uses t&m, dedicated team pricing with a minimum engagement of $100K. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: InData Labs or EPAM Systems?
InData 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 agency before shortlisting.
What are the main differences between InData Labs and EPAM Systems?
InData Labs's primary differentiator is: top-10 clutch-ranked cognitive computing and nlp specialist with competitive rates relative to western boutiques of comparable review depth. EPAM Systems's primary differentiator is: global scale with 58,000+ engineers and top-3 glassdoor ai company ranking — rare ml delivery capacity for simultaneous large enterprise programmes. They also differ in team size (80–150 vs 58,000+), minimum engagement ($25K vs $100K), and primary industries served (Retail / E-commerce, Healthcare vs Financial Services, Healthcare).
Last reviewed: July 2026. Verify all details directly with each agency before making a decision.