EPAM Systems
A publicly traded 1993-founded engineering firm with 62,000+ professionals and a proprietary DIAL enterprise AI orchestration platform.
Founded 1993 | Newtown, PA, USA | 60,000+ employees | Last updated: July 2026
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What is EPAM Systems?
EPAM Systems is a global software engineering and digital services company founded in 1993 and headquartered in Newtown, Pennsylvania, publicly listed on the NYSE with 62,000+ professionals across 55+ countries. The company's AI and ML services encompass data engineering, platform modernisation, advanced analytics, and AI/ML model development, alongside its proprietary EPAM DIAL enterprise AI orchestration platform. EPAM has positioned itself as a leader in AI transformation engineering, integrating ML capability within large digital product and platform engineering programmes.
EPAM Systems was founded in 1993 and is headquartered in Newtown, PA, USA. The firm employs 60,000+ people and works primarily with clients in Fintech, Healthcare, Manufacturing, SaaS, Logistics sectors. Its primary differentiator is: Publicly traded 62,000-person firm with proprietary EPAM DIAL AI orchestration platform and AI transformation engineering positioning for global enterprises.
EPAM Systems tech stack and services
PythonEPAM DIALAWSAzureGCPKubernetesMLflowDatabricksSparkTensorFlow
| Service area | Details |
|---|---|
| Enterprise AI transformation programmes for Fortune 500 organisations | Available for Fintech, Healthcare, Manufacturing, SaaS, Logistics clients |
| EPAM DIAL deployment for enterprise LLM governance and AI orchestration | Available for Fintech, Healthcare, Manufacturing, SaaS, Logistics clients |
| ML platform modernisation for large financial services institutions | Available for Fintech, Healthcare, Manufacturing, SaaS, Logistics clients |
| AI-powered product engineering for global technology companies | Available for Fintech, Healthcare, Manufacturing, SaaS, Logistics clients |
| Data science team augmentation for large enterprise analytics platforms | Available for Fintech, Healthcare, Manufacturing, SaaS, Logistics clients |
EPAM Systems use cases
Short answer: EPAM Systems is best suited for large enterprises needing ML within large-scale platform engineering programmes and access to a proprietary AI orchestration platform.
| Use case | Industries | Approach |
|---|---|---|
| Enterprise AI transformation programmes for Fortune 500 organisations | Fintech, Healthcare | Python, EPAM DIAL |
| EPAM DIAL deployment for enterprise LLM governance and AI orchestration | Fintech, Healthcare | Python, EPAM DIAL |
| ML platform modernisation for large financial services institutions | Fintech, Healthcare | Python, EPAM DIAL |
| AI-powered product engineering for global technology companies | Fintech, Healthcare | Python, EPAM DIAL |
| Data science team augmentation for large enterprise analytics platforms | Fintech, Healthcare | Python, EPAM DIAL |
EPAM Systems pricing
Short answer: EPAM Systems uses a dedicated team, t&m pricing approach. Minimum engagement starts at $200K+.
| Engagement model | Typical range | Best for |
|---|---|---|
| Dedicated team | Variable; depends on team size | Large programmes or team augmentation |
| Time & materials | Variable; depends on team size | Large programmes or team augmentation |
EPAM Systems does not publish a public rate card. Contact them directly via their website to get project-specific pricing.
EPAM Systems pros and cons
| Advantages | Things to consider |
|---|---|
| +Publicly listed company provides financial transparency and governance confidence | -Very high minimum engagement ($200K+) limits access to large enterprise budgets |
| +62,000+ engineers deliver at a scale few ML development competitors can match | -ML is one capability within a massive engineering conglomerate — specialist depth varies by practice and team |
| +Proprietary EPAM DIAL AI orchestration platform for enterprise LLM management | -Eastern European primary delivery requires business continuity planning for regulated clients |
| +AI transformation engineering positioning beyond standard ML delivery | |
| +55+ country footprint supports global enterprise programme delivery and compliance |
EPAM Systems vs alternatives
How EPAM Systems compares to the other top Machine Learning Development companies.
| Company | Best for | Key difference | Rating | Compare |
|---|---|---|---|---|
| InData Labs | Mid-market companies needing custom production-grade ML systems with... | Pure-play data science boutique with 4.9/5 Clutch rating across 18 independent reviews and documented post-launch iteration model | 4.8 | Full comparison |
| Tensorway | Mid-market and enterprise clients needing production-grade computer vision... | Deep learning specialist backed by Anadea's 25-year delivery heritage, with a dedicated computer vision practice covering detection, segmentation, and video analytics | 4.6 | Full comparison |
| Simform | AWS-first companies needing production ML systems with cloud-native... | AWS Premier Partner with 200+ ML engineers and 4.8/5 Clutch rating across 82 verified reviews — one of the most independently validated firms in this niche | 4.5 | Full comparison |
| Blackthorn Vision | Mid-market companies in healthcare, fintech, or industrial automation... | Published case studies across healthcare and fintech ML with a documented data science lifecycle and accessible $20K minimum engagement | 4.4 | Full comparison |
| Codiste | Startups and mid-market companies needing full ML lifecycle... | AI-first engineering firm with explicit MLOps focus and generative AI capability alongside classical ML model development | 4.3 | Full comparison |
| DataRoot Labs | European and Israeli companies needing a structured ML... | Structured AI R&D methodology with formal experiment cycles serving European and Israeli mid-market clients | 4.2 | Full comparison |
| *instinctools | German and US companies needing a long-track-record technology... | 25-year delivery heritage with self-managed dedicated ML teams and co-headquarters in Stuttgart, Germany and Potomac, Maryland | 4.2 | Full comparison |
| Neoteric | European companies needing a mid-size AI engineering team... | Wrocław-based AI firm with documented approximately 90% positive Clutch reviews and full-service software plus ML delivery at $50–99/hr | 4.1 | Full comparison |
| MobiDev | Companies needing ML development integrated with mobile or... | US/UK-managed ML engineering firm with 400+ engineers and documented deep learning, NLP, and GPT integration across product development | 4.1 | Full comparison |
| Leobit | US-based tech startups and scale-ups needing combined ML... | Full-stack AI engineering firm with strong generative AI and corporate LLM deployment capability alongside standard ML development | 4.0 | Full comparison |
| STX Next | Python-first companies needing ML capability embedded within software... | Europe's largest Python engineering firm with 700+ engineers, making ML a natural extension of existing Python product development | 4.0 | Full comparison |
| LeewayHertz | US enterprise and mid-market companies needing a full-service... | San Francisco-based AI firm with strong LLM integration and generative AI advisory capability alongside standard ML development | 3.9 | Full comparison |
| ScienceSoft | Manufacturing, healthcare, and oil & gas companies needing... | 35-year IT firm with Microsoft Gold and AWS partner certifications and documented vertical depth in manufacturing, healthcare, and oil & gas ML | 3.9 | Full comparison |
| Fractal Analytics | Fortune 500 companies in consumer packaged goods, retail,... | 25-year enterprise AI firm with documented Fortune 500 programmes in CPG, retail, and insurance analytics across 4,000+ professionals | 3.9 | Full comparison |
| Acropolium | Hospitality, healthcare, and logistics companies needing affordable custom... | Estonia-registered Eastern European ML firm with hospitality and logistics ML specialisation and accessible $15K minimum engagement | 3.8 | Full comparison |
| Scopic | Companies needing senior ML engineers at competitive rates... | 20-year distributed firm with 1,000+ remote engineers and published ML case studies in healthcare, manufacturing, and financial risk | 3.8 | Full comparison |
| Iflexion | Enterprises needing a consulting-first ML partner to design... | 25-year enterprise IT firm with a consulting-led ML practice that evaluates feasibility and designs data strategy before implementation begins | 3.8 | Full comparison |
| N-iX | Enterprises with complex data infrastructure needing MLOps expertise... | Named Fortune 500 MLOps deployments at Bosch, Gogo, and Fluke with 2,000+ engineers and a data-infrastructure-first ML approach | 3.9 | Full comparison |
| Intellias | Product companies and enterprises needing ML integrated into... | Product-engineering-first approach to ML with a dedicated MLOps practice and documented automotive and fintech AI delivery experience | 3.8 | Full comparison |
| Oxagile | Media, sports, and AdTech companies needing AI and... | 20-year video technology specialist with strong computer vision and video analytics ML capability for media, sports, and AdTech clients | 3.8 | Full comparison |
| Innowise | Banks, healthcare operators, and agricultural businesses needing ML... | 1,200-engineer Eastern European firm with documented banking, healthcare, and agriculture ML delivery from Poland and UAE offices | 3.8 | Full comparison |
| Appinventiv | Enterprise and mid-market companies needing ML features integrated... | 200+ dedicated ML experts within a 1,600+ person firm delivering ML at scale within mobile and enterprise product development | 3.7 | Full comparison |
| Devox Software | EU, UK, and US clients needing cost-efficient Python... | High client retention rate (82% long-term partnerships) with Python-native ML focus for finance and retail use cases | 3.7 | Full comparison |
| Intuz | US-based companies needing a San Francisco-headquartered AI partner... | San Francisco-headquartered AI firm founded in 2008 with ML and AI agent development alongside standard ML model development | 3.7 | Full comparison |
| Softeq | Enterprise companies with hardware, IoT, or embedded systems... | Houston-based enterprise firm with unique strength in ML for IoT and hardware-connected AI applications alongside Microsoft and AWS partnerships | 3.7 | Full comparison |
| Itransition | Enterprise organisations needing ML consulting and implementation integrated... | 25-year global firm with 3,000+ engineers across 40+ countries offering ML consulting within enterprise technology programmes | 3.7 | Full comparison |
| ELEKS | Enterprise and Fortune 500 companies needing a long-established... | 35-year software engineering heritage with 1,000+ delivered data-driven projects and US presence in Chicago for North American enterprise clients | 3.6 | Full comparison |
| Avenga | Global corporations needing a large-scale European technology partner... | 6,000-person global consultancy with AWS Advanced Partnership and 20+ certified cloud ML deployments across 16 countries and 44 delivery locations | 3.6 | Full comparison |
| DataArt | Mid-market and enterprise companies in finance, healthcare, or... | 29-year global engineering firm with 6,000+ specialists and a flat structure providing direct access to senior ML engineers on client projects | 3.6 | Full comparison |
| Ciklum | Global enterprises seeking AI features embedded in large-scale... | 4,000-person Experience Engineering firm with 250+ enterprise clients and generative AI delivery integrated into large product programmes | 3.6 | Full comparison |
| Sigmoidal | Financial services and healthcare companies with internal ML... | Specialist ML staff augmentation firm placing expert data scientists and ML engineers into client teams with financial services industry focus | 3.6 | Full comparison |
| Codiant | Startups and mid-market companies on five continents needing... | Yash Technologies subsidiary with ISO 9001 and 27001 certifications, multi-continent delivery, and 700+ completed projects for 200+ active clients | 3.6 | Full comparison |
| GlobalLogic | Fortune 500 enterprises needing large-scale MLOps implementation within... | Hitachi-owned 30,000-person product engineering firm with MLOps and AI-Powered SDLC for Fortune 500 clients and industrial AI access via Hitachi ecosystem | 3.5 | Full comparison |
| BairesDev | US-based companies needing culturally aligned nearshore ML engineers... | Latin America nearshore ML specialist with 4,000+ engineers and US timezone alignment for flexible staff augmentation and project delivery | 3.5 | Full comparison |
| DataRobot | Enterprises wanting to reduce ML engineering bottlenecks with... | Enterprise AutoML platform that automates model building and deployment — a software product with professional services, not a custom development services firm | 3.5 | Full comparison |
| Accenture | Global enterprise and government organisations needing AI strategy,... | World's largest consulting firm with 700,000+ employees, government-scale AI governance capability, and a dedicated AI transformation practice | 3.5 | Full comparison |
| Cognizant | Global enterprises modernising legacy data systems and needing... | 330,000-person IT services firm combining ML engineering with legacy data modernisation for global enterprise digital transformation programmes | 3.5 | Full comparison |
EPAM Systems FAQ
What is EPAM Systems?
EPAM Systems is a global software engineering and digital services company founded in 1993 and headquartered in Newtown, Pennsylvania, publicly listed on the NYSE with 62,000+ professionals across 55+ countries. The company's AI and ML services encompass data engineering, platform modernisation, advanced analytics, and AI/ML model development, alongside its proprietary EPAM DIAL enterprise AI orchestration platform. EPAM has positioned itself as a leader in AI transformation engineering, integrating ML capability within large digital product and platform engineering programmes.
How much does EPAM Systems charge?
EPAM Systems uses dedicated team, t&m pricing. Minimum engagement starts at $200K+. A discovery call is required to get project-specific quotes.
What tech stack does EPAM Systems use?
EPAM Systems works with Python, EPAM DIAL, AWS, Azure, GCP, Kubernetes, MLflow, Databricks, Spark, TensorFlow. Primary industries served include Fintech, Healthcare, Manufacturing, SaaS, Logistics.
Is EPAM Systems right for enterprise?
Large enterprises needing ML within large-scale platform engineering programmes and access to a proprietary AI orchestration platform. 60,000+ team size. Key consideration: Very high minimum engagement ($200K+) limits access to large enterprise budgets.
What are the best EPAM Systems alternatives?
The best alternatives to EPAM Systems depend on your use case. Top options are:
- InData Labs: pure-play data science boutique with 4.9/5 clutch rating across 18 independent reviews and documented post-launch iteration model
- Tensorway: deep learning specialist backed by anadea's 25-year delivery heritage, with a dedicated computer vision practice covering detection, segmentation, and video analytics
- Simform: aws premier partner with 200+ ml engineers and 4.8/5 clutch rating across 82 verified reviews — one of the most independently validated firms in this niche
Compare EPAM Systems with other Machine Learning Development companies
EPAM Systems vs InData Labs EPAM Systems vs Tensorway EPAM Systems vs Simform EPAM Systems vs Blackthorn Vision EPAM Systems vs Codiste EPAM Systems vs DataRoot Labs EPAM Systems vs *instinctools EPAM Systems vs Neoteric EPAM Systems vs MobiDev EPAM Systems vs Leobit EPAM Systems vs STX Next EPAM Systems vs LeewayHertz EPAM Systems vs ScienceSoft EPAM Systems vs Fractal Analytics EPAM Systems vs Acropolium EPAM Systems vs Scopic EPAM Systems vs Iflexion EPAM Systems vs N-iX EPAM Systems vs Intellias EPAM Systems vs Oxagile EPAM Systems vs Innowise EPAM Systems vs Appinventiv EPAM Systems vs Devox Software EPAM Systems vs Intuz EPAM Systems vs Softeq EPAM Systems vs Itransition EPAM Systems vs ELEKS EPAM Systems vs Avenga EPAM Systems vs DataArt EPAM Systems vs Ciklum EPAM Systems vs Sigmoidal EPAM Systems vs Codiant EPAM Systems vs GlobalLogic EPAM Systems vs BairesDev EPAM Systems vs DataRobot EPAM Systems vs Accenture EPAM Systems vs Cognizant
Last reviewed: July 2026. Verify all details directly with EPAM Systems before making a decision.