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Data quality: Editorially Reviewed
Google Cloud
Software development
Language (LLM / NLP)
Financial services
Agent & prompt engineering
Databricks
AI strategy & roadmap consulting
Software & technology
Energy & utilities
Workflow orchestration
Implementation Partners
Implementation & integration
AI governance, risk & audit
Code review & testing
Predictive / classical ML
Healthcare & life sciences
Amazon Web Services
Responsible AI, ethics & safety
AI strategy & leadership
Retail & e-commerce
Agentic / autonomous
Enterprise
Customer support automation

EPAM Systems

Implementation & integration

Offered by EPAM Systems, Inc.

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Overview

EPAM's AI practice covers generative AI services and advisory, responsible AI, AI-native engineering and agentic AI for areas such as customer service and safety. Enterprise-wide efforts are organized under the AI/Run.Transform initiative. The site lists strategic AI partnerships with OpenAI, Anthropic, Google Cloud, AWS and Databricks among more than 150 technology partners. AI work is delivered across 11 industries, including financial services, life sciences and healthcare, energy and resources, and software and hi-tech. The homepage lists headquarters in Newtown, Pennsylvania.

Pricing model
On request
Regions served
Global, North America, Europe, Asia
Categories
Google Cloud, Software development, Language (LLM / NLP), Financial services, Agent & prompt engineering, Databricks, AI strategy & roadmap consulting, Software & technology, Energy & utilities, Workflow orchestration, Implementation Partners, Implementation & integration, AI governance, risk & audit, Code review & testing, Predictive / classical ML, Healthcare & life sciences, Amazon Web Services, Responsible AI, ethics & safety, AI strategy & leadership, Retail & e-commerce, Agentic / autonomous, Enterprise, Customer support automation
Last updated
7 October 2026
Published
7 October 2026

Use cases

Software development
Code review & testing
Customer support automation
Workflow orchestration

Data sources & provenance

Where this information came from, how it was checked and when it was last looked at. “Last updated” records a change to the record — it does not mean the record was verified.

Data quality
Data quality: Editorially Reviewed
Primary source
epam.com
Sources cited
1
Last reviewed
6 October 2026
Last updated
7 October 2026

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