Scopic vs EPAM Systems: full comparison for 2026
Last updated: July 2026
Quick verdict
Scopic (3.9/5) edges ahead of EPAM Systems (3.9/5) overall. Scopic is the better choice for organizations needing fully custom ML engineering with 20+ years of distributed team experience and strong computer vision and deep learning capability. EPAM Systems is the stronger option for large enterprises requiring ML at Fortune 500 scale with global delivery capacity, stringent compliance requirements, and complex multi-system integration. The right choice depends on your project size, budget, and required tech stack.
Scopic vs EPAM Systems: head-to-head summary
| Criterion | Scopic | EPAM Systems |
|---|---|---|
| Founded | 2006 | 1993 |
| HQ | Marlborough, MA, USA | Newtown, PA, USA |
| Team size | 250–500 | 62,000+ |
| Rating | 3.9 / 5 | 3.9 / 5 |
| Best for | Organizations needing fully custom ML engineering with 20+ years of distributed team experience and strong computer vision and deep learning capability | Large enterprises requiring ML at Fortune 500 scale with global delivery capacity, stringent compliance requirements, and complex multi-system integration |
| Pricing model | Fixed project, T&M, Dedicated team | Dedicated team, T&M, Fixed project, Staff augmentation |
| Min. engagement | $20K | $50K |
| Primary tech stack | TensorFlow, PyTorch, Keras | Python, TensorFlow, PyTorch |
| Industries served | transportation, healthcare, manufacturing, financial services, edtech | financial services, healthcare, retail, media, government |
Scopic vs EPAM Systems: overview
Scopic
Scopic is a globally distributed software development company founded in 2006 and headquartered in Marlborough, Massachusetts. The company employs 250–500 professionals and has 20 years of experience building custom ML systems using TensorFlow, neural networks, PyTorch, and computer vision pipelines. Scopic has confirmed production ML deployments across transportation, healthcare, manufacturing, and financial services.
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: Scopic vs EPAM Systems
| Capability | Scopic | EPAM Systems |
|---|---|---|
| Custom ML development | ✓ | ✓ |
| ML consulting | ✗ | ✓ |
| Deep learning | ✓ | ✗ |
| NLP | ✓ | ✗ |
| Computer vision | ✓ | ✗ |
| MLOps | ✗ | ✓ |
| Predictive analytics | ✓ | ✗ |
| Generative AI | ✗ | ✓ |
| Data engineering | ✗ | ✓ |
| Staff augmentation | ✗ | ✓ |
Tech stack comparison: Scopic vs EPAM Systems
| Framework / platform | Scopic | EPAM Systems |
|---|---|---|
| TensorFlow | ✓ | ✓ |
| PyTorch | ✓ | ✓ |
| Scikit-Learn | ✓ | N/A |
| LangChain | N/A | N/A |
| AWS SageMaker | N/A | ✓ |
| Azure ML | N/A | ✓ |
| GCP Vertex AI | N/A | N/A |
| Kubernetes | N/A | ✓ |
| Apache Spark | N/A | ✓ |
| MLflow | N/A | ✓ |
Pricing comparison: Scopic vs EPAM Systems
| Criterion | Scopic | EPAM Systems |
|---|---|---|
| Minimum engagement | $20K | $50K |
| Engagement models | Fixed project, T&M, Dedicated team | Dedicated team, T&M, Fixed project, Staff augmentation |
| Rate transparency | Minimum disclosed | Minimum disclosed |
| Price tier | Accessible | Accessible |
Target audience comparison: Scopic vs EPAM Systems
| Dimension | Scopic | EPAM Systems |
|---|---|---|
| Best company size | Startup to mid-market | Startup to mid-market |
| Best industries | transportation, healthcare, manufacturing | financial services, healthcare, retail |
| Best use cases | Custom computer vision pipeline development for transportation safety or logistics automation, Deep learning model development for medical image analysis or clinical data classification | 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 |
Scopic vs EPAM Systems: pros and cons
| Scopic | |
|---|---|
| + | 20 years of distributed ML delivery with consistent process maturity across time zones |
| + | Deep computer vision and neural network expertise with production deployments in transportation |
| + | Custom ML system engineering — not platform-reliant solutions dependent on third-party services |
| + | Accessible minimum engagement and competitive rates for the level of specialization offered |
| + | Healthcare ML experience with sensitivity to data privacy and regulatory considerations |
| - | Distributed-first model may introduce coordination overhead for clients preferring on-site collaboration |
| - | Less public brand presence than US-headquartered firms of similar capability |
| - | Less generative AI and LLM tooling depth than newer AI-first firms |
| 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 Scopic?
Scopic is the right choice for organizations needing fully custom ML engineering with 20+ years of distributed team experience and strong computer vision and deep learning capability.
20+ years as a distributed software company gives Scopic strong custom ML engineering discipline with confirmed production deployments across transportation and healthcare. Minimum engagement starts at $20K. Works best with clients in transportation, healthcare, manufacturing, financial services, edtech.
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: Scopic vs EPAM Systems
| Your situation | Recommended choice |
|---|---|
| You need full-ownership delivery on a defined project scope | Scopic |
| You need a large dedicated team for an ongoing programme | Scopic |
| Your budget is at the lower end | Scopic |
| You need specialist depth in a specific vertical | Scopic |
| You need staff augmentation or team extension | EPAM Systems |
| You need consulting before committing to a build | EPAM Systems |
Use case fit: Scopic vs EPAM Systems
| Use case | Scopic fit | EPAM Systems fit | Winner |
|---|---|---|---|
| Custom computer vision pipeline development for transportation safety or logistics automation | Strong | Limited | Scopic |
| Deep learning model development for medical image analysis or clinical data classification | Strong | Limited | Scopic |
| 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: Scopic vs EPAM Systems
Scopic (3.9/5) is the stronger overall choice for most Machine Learning Development projects. 20+ years as a distributed software company gives Scopic strong custom ML engineering discipline with confirmed production deployments across transportation and healthcare. It is best for organizations needing fully custom ML engineering with 20+ years of distributed team experience and strong computer vision and deep learning capability.
EPAM Systems (3.9/5) is the better choice when large enterprises requiring ML at Fortune 500 scale with global delivery capacity, stringent compliance requirements, and complex multi-system integration. If your situation matches those criteria, EPAM Systems is a competitive option.
Related comparisons
Scopic vs EPAM Systems FAQ
Is Scopic better than EPAM Systems?
Scopic (3.9/5) scores higher overall, but "better" depends on your use case. Scopic is better for organizations needing fully custom ML engineering with 20+ years of distributed team experience and strong computer vision and deep learning capability. 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 Scopic and EPAM Systems differ in pricing?
Scopic uses fixed project, t&m, dedicated team pricing with a minimum engagement of $20K. 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: Scopic or EPAM Systems?
Scopic 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 Scopic and EPAM Systems?
Scopic's primary differentiator is: 20+ years as a distributed software company gives scopic strong custom ml engineering discipline with confirmed production deployments across transportation and healthcare. 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 (250–500 vs 62,000+), minimum engagement ($20K vs $50K), and primary industries served (transportation, healthcare vs financial services, healthcare).
Last reviewed: July 2026. Verify all details directly with each company before making a decision.