GlobalLogic (Hitachi) vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
GlobalLogic (Hitachi) (3.9/5) edges ahead of EPAM Systems (3.8/5) overall. GlobalLogic (Hitachi) is the better choice for global enterprises requiring MLOps at massive scale with the backing of a Hitachi Group company. EPAM Systems is the stronger option for global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation. The right choice depends on your project size, budget, and required tech stack.
GlobalLogic (Hitachi) vs EPAM Systems: head-to-head summary
| Criterion | GlobalLogic (Hitachi) | EPAM Systems |
|---|---|---|
| Founded | 2000 | 1993 |
| HQ | San Jose, CA (Hitachi Group) | Newtown, PA |
| Team size | 27,000+ | 50,000+ |
| Rating | 3.9 / 5 | 3.8 / 5 |
| Best for | Global enterprises requiring MLOps at massive scale with the backing of a Hitachi Group company | Global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation |
| Pricing model | Dedicated team, T&M | Dedicated team, T&M |
| Min. engagement | $100K | ~$200K+ |
| Primary tech stack | Python, TensorFlow, PyTorch | Python, TensorFlow, PyTorch |
| Industries served | Financial Services, Manufacturing & Industrial, Logistics & Supply Chain, Healthcare & Life Sciences, Media & Entertainment | Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial, Media & Entertainment, Retail & E-commerce |
GlobalLogic (Hitachi) vs EPAM Systems: overview
GlobalLogic (Hitachi)
GlobalLogic is a digital product engineering company founded in 2000 and headquartered in San Jose, CA, acquired by Hitachi in 2021. With 27,000+ engineers, GlobalLogic provides MLOps solutions to accelerate the ML development lifecycle and streamline model deployment for the world's largest and most forward-thinking companies. The firm serves as a trusted digital engineering partner across financial services, manufacturing, automotive, and healthcare.
EPAM Systems
EPAM Systems is a global software engineering and IT services company founded in 1993 and headquartered in Newtown, PA, with 50,000+ professionals. The firm offers AI-native engineering services with a focus on scaling ML, generative AI, and agentic systems across large enterprises with strict governance requirements. EPAM is a powerhouse for building complex, software-heavy AI products from scratch, though it comes at a premium price point.
Services and capabilities: GlobalLogic (Hitachi) vs EPAM Systems
| Capability | GlobalLogic (Hitachi) | EPAM Systems |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| Computer vision | ✗ | ✗ |
| NLP & LLMs | ✗ | ✗ |
| MLOps & deployment | ✓ | ✓ |
| Generative AI | ✗ | ✓ |
| Staff augmentation | ✓ | ✓ |
Tech stack comparison: GlobalLogic (Hitachi) vs EPAM Systems
| Framework / platform | GlobalLogic (Hitachi) | EPAM Systems |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| AWS SageMaker | N/A | N/A |
| Azure ML | N/A | N/A |
| Vertex AI | N/A | N/A |
| Scikit-learn | N/A | N/A |
| Hugging Face | N/A | N/A |
| Apache Spark | ✓ | ✓ |
| Kubernetes | ✓ | ✓ |
| MLflow | N/A | N/A |
Pricing comparison: GlobalLogic (Hitachi) vs EPAM Systems
| Criterion | GlobalLogic (Hitachi) | EPAM Systems |
|---|---|---|
| Minimum engagement | $100K | ~$200K+ |
| Engagement models | Dedicated team, Time & materials | Dedicated team, Time & materials |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Enterprise |
Target audience comparison: GlobalLogic (Hitachi) vs EPAM Systems
| Dimension | GlobalLogic (Hitachi) | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | Financial Services, Manufacturing & Industrial, Logistics & Supply Chain | Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial |
| Best use cases | Enterprise MLOps platform for global financial institution managing 200+ production models, Manufacturing ML and IoT integration leveraging Hitachi industrial domain expertise | Global AI transformation programme for Fortune 100 enterprise with multi-year delivery scope, Enterprise GenAI platform with strict governance and compliance for regulated financial institution |
| Typical project type | Dedicated team | Dedicated team |
GlobalLogic (Hitachi) vs EPAM Systems: pros and cons
| GlobalLogic (Hitachi) | |
|---|---|
| + | Hitachi Group backing provides financial stability and global compliance posture for enterprise procurement |
| + | 27,000+ engineers for truly massive parallel ML programme delivery |
| + | Enterprise MLOps capability for organisations managing hundreds of production models |
| + | Automotive and industrial domain depth from Hitachi ecosystem experience |
| + | Global delivery presence across APAC, EMEA, and Americas |
| - | $100K+ minimum — accessible only to large enterprises with significant ML budgets |
| - | Large conglomerate structure may create slower decision-making and less agile delivery |
| - | Hitachi acquisition (2021) introduced integration complexity — confirm delivery model continuity in procurement |
| EPAM Systems | |
|---|---|
| + | 50,000+ professionals — unmatched delivery scale for global multi-stream AI programmes |
| + | AI-native engineering practice purpose-built for scaling ML, GenAI, and agentic systems |
| + | Strict governance and compliance frameworks for regulated enterprise AI delivery |
| + | Full-stack capability from hardware infrastructure through ML models to frontend AI products |
| + | Strong US and Eastern European delivery mix for cost-performance balance at enterprise scale |
| - | ~$200K+ minimum makes EPAM inaccessible for all but the largest enterprise budgets |
| - | Large-firm overhead — procurement, contracting, and ramp-up timelines are significantly longer than boutiques |
| - | Generalist breadth means less niche ML depth than boutiques in specific domains like healthcare imaging or time-series |
Who should choose GlobalLogic (Hitachi)?
GlobalLogic (Hitachi) is the right choice for global enterprises requiring MLOps at massive scale with the backing of a Hitachi Group company.
Hitachi Group backing with 27,000 engineers — the scale and compliance posture of a major industrial conglomerate applied to enterprise ML. Minimum engagement starts at $100K. Works best with clients in Financial Services, Manufacturing & Industrial, Logistics & Supply Chain, Healthcare & Life Sciences, Media & Entertainment.
Who should choose EPAM Systems?
EPAM Systems is the right choice for global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation.
AI-native engineering practice at 50,000-person scale — the broadest talent pool and delivery capacity of any firm on this list. Minimum engagement starts at ~$200K+. Works best with clients in Financial Services, Healthcare & Life Sciences, Manufacturing & Industrial, Media & Entertainment, Retail & E-commerce.
Decision matrix: GlobalLogic (Hitachi) 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 | GlobalLogic (Hitachi) |
| Your budget is at the lower end | GlobalLogic (Hitachi) |
| You need specialist depth in a specific vertical | GlobalLogic (Hitachi) |
| You need staff augmentation or team extension | GlobalLogic (Hitachi) |
| You need consulting before committing to a build | Both may offer discovery engagements |
Use case fit: GlobalLogic (Hitachi) vs EPAM Systems
| Use case | GlobalLogic (Hitachi) fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Enterprise MLOps platform for global financial institution managing 200+ production models | Strong | Strong | Both equally |
| Manufacturing ML and IoT integration leveraging Hitachi industrial domain expertise | Strong | Limited | GlobalLogic (Hitachi) |
| Global AI transformation programme for Fortune 100 enterprise with multi-year delivery scope | Strong | Strong | Both equally |
| Enterprise GenAI platform with strict governance and compliance for regulated financial institution | Strong | Strong | Both equally |
| Fixed-price build | Limited | Limited | Both equally |
| Staff augmentation | Strong | Limited | GlobalLogic (Hitachi) |
Verdict: GlobalLogic (Hitachi) vs EPAM Systems
GlobalLogic (Hitachi) (3.9/5) is the stronger overall choice for most Machine Learning Development projects. Hitachi Group backing with 27,000 engineers — the scale and compliance posture of a major industrial conglomerate applied to enterprise ML. It is best for global enterprises requiring MLOps at massive scale with the backing of a Hitachi Group company.
EPAM Systems (3.8/5) is the better choice when global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation. If your situation matches those criteria, EPAM Systems is a competitive option.
Related comparisons
GlobalLogic (Hitachi) vs EPAM Systems FAQ
Is GlobalLogic (Hitachi) better than EPAM Systems?
GlobalLogic (Hitachi) (3.9/5) scores higher overall, but "better" depends on your use case. GlobalLogic (Hitachi) is better for global enterprises requiring MLOps at massive scale with the backing of a Hitachi Group company. EPAM Systems is better for global enterprises building complex, software-heavy AI products that require governance, scalability, and a large-team delivery organisation.
How do GlobalLogic (Hitachi) and EPAM Systems differ in pricing?
GlobalLogic (Hitachi) uses dedicated team, t&m pricing with a minimum engagement of $100K. EPAM Systems uses dedicated team, t&m pricing with a minimum engagement of ~$200K+. Neither firm publishes a full rate card; a discovery call is required for project-specific quotes.
Which is better for enterprise: GlobalLogic (Hitachi) 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 GlobalLogic (Hitachi) and EPAM Systems?
GlobalLogic (Hitachi)'s primary differentiator is: hitachi group backing with 27,000 engineers — the scale and compliance posture of a major industrial conglomerate applied to enterprise ml. EPAM Systems's primary differentiator is: ai-native engineering practice at 50,000-person scale — the broadest talent pool and delivery capacity of any firm on this list. They also differ in team size (27,000+ vs 50,000+), minimum engagement ($100K vs ~$200K+), and primary industries served (Financial Services, Manufacturing & Industrial vs Financial Services, Healthcare & Life Sciences).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.