EPAM Systems
NYSE-listed global digital engineering leader with a dedicated enterprise AI development practice.
What is EPAM Systems?
EPAM Systems, Inc. (NYSE: EPAM) has operated since 1993 and has become one of the largest global digital transformation and engineering services providers, with a workforce in the tens of thousands. Its AI development services span generative AI, machine learning consulting, and intelligent automation, delivered by consultants, designers, and engineers who have worked with AI technologies for decades, and Clutch lists a minimum project size of $100,000+ with $150–$199/hr average rates. As a large publicly traded firm, EPAM offers the deepest compliance and financial transparency in this list, at a correspondingly higher entry price point.
EPAM Systems was founded in 1993 and is headquartered in Newtown, Pennsylvania, United States. The firm employs 50,000+ people and works primarily with clients in FinTech, Healthcare, Retail & E-commerce, Manufacturing, Telecom sectors. Its primary differentiator is: Public-company (NYSE: EPAM) scale and compliance rigor, with 30+ years of engineering history predating the AI wave..
EPAM Systems tech stack and services
| Service area | Details |
|---|---|
| Large enterprise with a $100K+ budget needs a publicly traded vendor for AI/ML procurement compliance requirements. | Available for FinTech, Healthcare, Retail & E-commerce, Manufacturing, Telecom clients |
| Fortune 500 company needs generative AI deployed at global scale with responsible-AI governance built in. | Available for FinTech, Healthcare, Retail & E-commerce, Manufacturing, Telecom clients |
| Regulated industry (finance, healthcare) needs the financial transparency of a public-company vendor. | Available for FinTech, Healthcare, Retail & E-commerce, Manufacturing, Telecom clients |
EPAM Systems use cases
Short answer: EPAM Systems is best suited for large enterprises with $100K+ AI budgets that need a publicly traded, globally scaled engineering partner..
| Use case | Industries | Approach |
|---|---|---|
| Large enterprise with a $100K+ budget needs a publicly traded vendor for AI/ML procurement compliance requirements. | FinTech, Healthcare | AWS SageMaker, Azure ML |
| Fortune 500 company needs generative AI deployed at global scale with responsible-AI governance built in. | FinTech, Healthcare | AWS SageMaker, Azure ML |
| Regulated industry (finance, healthcare) needs the financial transparency of a public-company vendor. | FinTech, Healthcare | AWS SageMaker, Azure ML |
EPAM Systems pricing
Short answer: EPAM Systems uses a time & materials, managed engagement pricing approach. Minimum engagement starts at $100,000+.
| Engagement model | Typical range | Best for |
|---|---|---|
| Managed engagement | Variable; depends on team size | Large programmes or team augmentation |
| Time & materials | Variable; depends on team size | Large programmes or team augmentation |
| Staff augmentation | Variable; depends on team size | Large programmes or team augmentation |
EPAM Systems pros and cons
| Advantages | Things to consider |
|---|---|
| +Publicly traded on the NYSE, giving clients access to audited financial disclosures unavailable from private competitors. | -$100,000+ minimum project size (per Clutch) puts EPAM out of reach for startups and mid-market budgets under six figures. |
| +50,000+ global workforce provides essentially unlimited delivery capacity for the largest enterprise AI programs. | -$150–$199/hr rate band is among the highest in this list, reflecting large-firm overhead. |
| +31+ years of engineering history (since 1993) predates the current AI hiring wave by decades. | -At 50,000+ employees, AI/ML is one practice among dozens — clients should confirm they're getting a dedicated AI pod, not a generalist team. |
| +AI/generative AI practice spans strategy through production deployment and responsible-AI compliance, covering the full enterprise lifecycle. | |
| +Scale/compliance standout among the researched companies — the clearest choice for regulated, large-budget enterprise programs. |
EPAM Systems vs alternatives
How EPAM Systems compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| Neurons Lab | Enterprises that need a senior AI advisory team... | Founder-led AI strategy-to-production consultancy with no junior-heavy delivery layer. | 4.9 | Full comparison |
| Provectus | Mid-market and enterprise companies that need production-grade MLOps,... | AI-first systems integrator built around running production ML/AI infrastructure long-term. | 4.8 | Full comparison |
| Tensorway | Fintech, healthcare, and retail companies that want a... | AI boutique backed by 20+ years of software delivery experience via parent company Anadea. | 4.6 | Full comparison |
| InData Labs | FinTech, healthcare, and SaaS companies that want a... | Ten-plus years as a pure-play AI/data-science firm with no general software-development sideline. | 4.5 | Full comparison |
| DataRoot Labs | Startups and lean teams that want direct access... | Runs its own free ML/data-engineering school (DataRoot University, 6,000+ graduates) as a self-built talent pipeline. | 4.5 | Full comparison |
| XenonStack | Companies building agentic AI or real-time data platforms... | Multi-cloud certified (AWS, Azure, GCP) platform-engineering specialist for real-time and agentic AI. | 4.4 | Full comparison |
| Grid Dynamics | Fortune 1000 enterprises that need public-company financial transparency... | Nasdaq-listed enterprise AI engineering firm with public financial reporting and Fortune 1000 client base. | 4.4 | Full comparison |
| MobiDev | US and EU companies that want an ML... | Clutch's #1-ranked Machine Learning development company (2021), with a dedicated AI practice since 2018. | 4.3 | Full comparison |
| Addepto | Companies seeking a Forbes/Deloitte-recognized AI consultancy, provided they... | AI consulting boutique with third-party press recognition (Forbes, Deloitte, Financial Times), now part of KMS Technology. | 4.3 | Full comparison |
| LeewayHertz | Enterprises that want AI consulting backed by a... | AI consultancy now operating as a Hackett Group company, combining startup-era agility with public-company backing. | 4.2 | Full comparison |
| Softermii | Product teams building AI agents or generative AI... | 4.9/5 Clutch rating (34 reviews) with a specific focus on AI agents and real-time communication platforms. | 4.2 | Full comparison |
| Sigma Software Group | Automotive, aviation, and AdTech companies that need a... | Deep, decade-plus domain expertise in AdTech, automotive, and aviation combined with enterprise-scale delivery capacity. | 4.2 | Full comparison |
| Master of Code Global | Enterprise brands that need chat or voice AI... | 20-year specialization in enterprise chat and voice AI, with named enterprise clients like T-Mobile and Burberry. | 4.1 | Full comparison |
| Markovate | Companies wanting AI agent or chatbot development led... | CEO brings direct enterprise AI leadership experience (AT&T, IBM) rather than a purely technical or agency background. | 4.1 | Full comparison |
| SoluLab | Companies that want AI development from a vendor... | Combines AI-native development with blockchain/Web3 expertise under one delivery team. | 4.1 | Full comparison |
| Zfort Group | Companies wanting a long-established (24+ year) software firm's... | One of the longest-operating firms in this list (founded 2000) with a 5-star Clutch rating and broad ML sub-specialty coverage. | 4.0 | Full comparison |
| Yalantis | Compliance-sensitive industries (IoT, healthcare, embedded systems) that need... | Compliance-first positioning combined with multi-cloud ML delivery (AWS, Azure, GCP) under one roof. | 4.0 | Full comparison |
| Space-O Technologies | Companies that need machine learning embedded into a... | 15 years of mobile/software product delivery experience (since 2010) with ML added as a production-application capability. | 4.0 | Full comparison |
| SoftServe | Enterprises that want an established, dual-HQ (US/Ukraine) engineering... | 31 years of engineering history (since 1993) with dual US and Ukraine headquarters and 12,000+ employees. | 4.0 | Full comparison |
| DataArt | Regulated-industry enterprises (finance, healthcare) that need AI delivery... | Artisyn, a proprietary AI-enabled operating model embedding governance and AI agents across the delivery lifecycle. | 3.9 | Full comparison |
| Cleveroad | Healthcare, logistics, and fintech companies wanting an Estonia-based... | Named to the 2025 Clutch 1000, placing it in the global top 30 highest-rated B2B service providers on the platform. | 3.9 | Full comparison |
| Existek | Mid-market companies wanting a Clutch-recognized offshore development firm... | 4.9 Clutch rating with dual Ukraine/Romania Clutch top-developer recognition and a $25,000+ accessible entry point. | 3.9 | Full comparison |
| Konstant Infosolutions | Companies needing AI/ML features added to a mobile... | 175+ Clutch reviews — one of the highest review volumes in this list — from a 23-year mobile/web development track record. | 3.9 | Full comparison |
| Debut Infotech | Companies wanting ML development from a firm that... | Blockchain-native since 2015, combining that engineering discipline with newer machine learning and AI automation services. | 3.9 | Full comparison |
| ValueCoders | Budget-conscious companies wanting a 20-year Indian IT outsourcer... | 5.0 Clutch rating combined with a specific AutoML development service line, uncommon among generalist outsourcing firms. | 3.8 | Full comparison |
| OpenXcell | Companies wanting AI strategy and custom LLM development... | 500–1,000 person scale combined with a specific custom-LLM development offering, not just general AI consulting. | 3.8 | Full comparison |
| Simform | Companies wanting AI/ML engineering bundled with broader cloud,... | Ranked #2 worldwide among Clutch's Top B2B Service Providers of 2023 — one of the strongest third-party rankings in this list. | 3.8 | Full comparison |
| ScienceSoft | Enterprises wanting AI/MLOps delivery from a 35-year-old IT... | 35+ years of continuous operating history (since 1989), among the longest-established vendors in this list. | 3.8 | Full comparison |
| Belitsoft | Companies that need AI models integrated into an... | 20+ years of dedicated SaaS product development experience, applied specifically to AI model integration for B2B SaaS. | 3.8 | Full comparison |
| N-iX | Enterprises wanting ML development bundled with broader cloud,... | Seven consecutive years of Clutch top global IT services company recognition, combined with dedicated ML and MLOps consulting content. | 3.8 | Full comparison |
| ELEKS | Enterprises wanting AI/ML delivery from one of the... | 33+ years of operating history (since 1991) with 1,000+ delivered data-driven projects and Global Outsourcing 100 recognition. | 3.7 | Full comparison |
| Intellias | Automotive, mobility, and IoT companies wanting ML development... | Strong automotive/mobility and IoT sector heritage, giving it differentiated depth in embedded and connected-device ML use cases. | 3.7 | Full comparison |
| Andersen | Enterprises wanting AI consulting bundled with a very... | 3,600+ in-house experts across 20 office locations, giving it exceptional breadth across programming languages and delivery models. | 3.7 | Full comparison |
| Innowise | Companies wanting a dedicated 300-person AI/data hub backed... | A specifically named 300+ person Data and AI hub within a much larger 3,500+ engineer group, giving both focus and scale. | 3.7 | Full comparison |
| Accenture | The largest global enterprises needing AI transformation consulting... | Everest Group's highest-rated Leader in both Data & Analytics and AI/Generative AI PEAK Matrix Assessments (2024), at unmatched global scale. | 3.7 | Full comparison |
EPAM Systems FAQ
What is EPAM Systems?
EPAM Systems, Inc. (NYSE: EPAM) has operated since 1993 and has become one of the largest global digital transformation and engineering services providers, with a workforce in the tens of thousands. Its AI development services span generative AI, machine learning consulting, and intelligent automation, delivered by consultants, designers, and engineers who have worked with AI technologies for decades, and Clutch lists a minimum project size of $100,000+ with $150–$199/hr average rates. As a large publicly traded firm, EPAM offers the deepest compliance and financial transparency in this list, at a correspondingly higher entry price point.
How much does EPAM Systems charge?
EPAM Systems uses time & materials, managed engagement pricing. Minimum engagement starts at $100,000+. A discovery call is required to get project-specific quotes.
What tech stack does EPAM Systems use?
EPAM Systems works with AWS SageMaker, Azure ML, Databricks, Apache Spark, Kubernetes. Primary industries served include FinTech, Healthcare, Retail & E-commerce, Manufacturing, Telecom.
Is EPAM Systems right for enterprise?
Large enterprises with $100K+ AI budgets that need a publicly traded, globally scaled engineering partner.. 50,000+ team size. Key consideration: $100,000+ minimum project size (per Clutch) puts EPAM out of reach for startups and mid-market budgets under six figures..
What are the best EPAM Systems alternatives?
The best alternatives to EPAM Systems depend on your use case. Top options are:
- Neurons Lab: founder-led ai strategy-to-production consultancy with no junior-heavy delivery layer.
- Provectus: ai-first systems integrator built around running production ml/ai infrastructure long-term.
- Tensorway: ai boutique backed by 20+ years of software delivery experience via parent company anadea.
Compare EPAM Systems with other Machine Learning Development companies
Last reviewed: July 2026. Verify all details directly with EPAM Systems before making a decision.