EPAM Systems, Inc. (NYSE: EPAM) has taken a significant step in advancing enterprise AI adoption with the launch of multiple production-ready AI agents on Google Cloud Marketplace. Known for its deep expertise in digital, cloud, and AI transformation, EPAM is leveraging an engineering-first approach to deliver secure, compliant, and scalable AI solutions designed for real-world enterprise environments.

This launch strengthens EPAM’s strategic collaboration with Google Cloud and underscores its growing role in shaping the future of Gemini Enterprise. By making these AI agents readily available through Google Cloud Marketplace, EPAM enables organizations to deploy trusted AI solutions faster, reduce operational complexity, and maximize the value of their cloud investments.

The move reflects a broader industry shift toward agent-based AI systems that can automate workflows, optimize data usage, and deliver measurable business outcomes across regulated and complex enterprise settings.

Deepening EPAM’s Strategic Collaboration With Google Cloud

The availability of EPAM’s AI agents on Google Cloud Marketplace represents a milestone in the company’s 360-degree partnership with Google Cloud.

A Multi-Dimensional Collaboration

EPAM’s relationship with Google Cloud spans:

• Advanced engineering and cloud-native architecture

• AI solution design and deployment

• Joint go-to-market strategies for enterprise customers

This expansion builds on years of collaboration and signals EPAM’s growing influence as an enterprise AI delivery partner within the Google Cloud ecosystem.

Aligning With Gemini Enterprise

Support for Gemini Enterprise ensures EPAM’s AI agents are:

• Built on interoperable, enterprise-grade AI foundations

• Secure by design and compliant with industry standards

• Scalable across diverse enterprise workloads

By contributing its domain expertise, EPAM has helped customers adopt Gemini Enterprise as part of robust, production-ready AI workflows.

Production-Ready AI Agents Designed for Enterprise Impact

EPAM’s newly launched AI agents are engineered to address some of the most pressing challenges enterprises face today—from regulatory compliance to data optimization and operational inefficiency.

Core Design Principles

Across the portfolio, EPAM emphasizes:

• Enterprise-grade security and compliance

• Production readiness, not experimental prototypes

• Rapid deployment through Google Cloud Marketplace

• Tangible ROI through automation and performance optimization

This approach enables organizations to go beyond pilots and move directly into scaled AI execution.

Overview of EPAM’s AI Agent Portfolio

The initial release includes seven high-impact AI agents, each tailored for specific industry and functional use cases.

Agentic Know Your Customer (KYC)

Designed for financial services institutions, this agent delivers end-to-end automation of KYC processes.

Key capabilities include:

• Automated data aggregation from multiple sources

• Screening and validation of customer information

• AI-driven risk assessment and compliance checks

• Reduced manual effort and faster onboarding cycles

This solution helps financial institutions improve compliance while reducing operational cost and friction.

Streamlined Document Authoring for Clinical Trials

This agent focuses on accelerating document-heavy workflows in life sciences.

Key benefits include:

• Automated creation of complex clinical trial documentation

• Improved consistency and regulatory readiness

• Faster time-to-market for research and development initiatives

By streamlining documentation, organizations can reallocate resources toward innovation rather than administrative overhead.

AI for Drug Discovery (Cloud Pipeline)

Built for research-intensive environments, this agent orchestrates advanced workflows across life sciences data sets.

Capabilities include:

• Workflow orchestration for genomics and multiomics data

• Integration of cheminformatics pipelines

• Faster hypothesis testing and drug discovery cycles

This approach enables pharmaceutical and biotech organizations to shorten discovery timelines through AI-driven automation.

Agentic AI Query Optimization

This agent targets inefficiencies in data analytics and cloud spend.

Core features include:

• Automated analysis of complex SQL queries

• Optimization and refactoring for performance improvements

• Reduced query execution time and infrastructure costs

By improving query efficiency, enterprises can optimize analytics workflows while controlling cloud expenses.

Retail Media Orchestration Toolkit

Designed for modern retail and media environments, this toolkit enables advanced cross-platform coordination.

Primary functions include:

• Unified management of media and data across platforms

• Enhanced targeting and performance measurement

• Improved efficiency in retail media execution

This solution supports data-driven marketing and monetization strategies across retail ecosystems.

Video Processing Suite

As video data volumes surge, this agent transforms unstructured content into usable intelligence.

Key capabilities include:

• Processing and indexing large video libraries

• Making video assets searchable and actionable

• Unlocking new value from existing media content

This agent helps organizations extract insights from video at scale, supporting analytics, training, and content discovery.

Talk to Your Data

This agent democratizes data access through natural language interaction.

Benefits include:

• AI-powered data analysis without technical queries

• Natural language questions and conversational insights

• Faster decision-making across business teams

By lowering the barrier to data exploration, enterprises can enable broader, real-time access to insights.

Enterprise Foundations: Security, Compliance, and Interoperability

A defining element of EPAM’s AI agents is their enterprise readiness.

Built for Trust and Scale

EPAM ensured that its AI agents are:

• Secure and compliant with enterprise requirements

• Interoperable across varied IT environments

• Designed for long-term scalability

The company has also collaborated closely with Google Cloud on key initiatives such as:

• The Agent-to-Agent (A2A) protocol

• The Agent Developer Kit (ADK)

These efforts ensure that EPAM’s AI agents can operate reliably across different enterprise systems and use cases.

Accelerating AI Adoption Through Google Cloud Marketplace

Launching these agents on Google Cloud Marketplace simplifies how enterprises adopt AI.

Key advantages include:

• Faster procurement and deployment

• Centralized management within the Google Cloud ecosystem

• Trusted global infrastructure for scaling AI initiatives

For enterprises navigating digital transformation, this approach reduces friction and accelerates time to value.

Conclusion: A Practical Path to Enterprise AI at Scale

EPAM’s launch of enterprise-grade AI agents on Google Cloud Marketplace reflects a broader evolution in how AI is designed, deployed, and scaled across industries. Rather than experimental tools, these agents are built to solve real business problems—securely, compliantly, and at production scale.

By combining advanced engineering expertise with Google Cloud’s trusted infrastructure and Gemini Enterprise capabilities, EPAM is positioning itself as a key enabler of agent-based AI adoption. From financial services and life sciences to retail, media, and data analytics, the new AI agents offer enterprises a practical pathway to operationalizing AI while maximizing cloud investments.

As organizations move toward autonomous, AI-driven workflows, EPAM’s collaboration with Google Cloud signals how enterprise AI is transitioning from vision to execution.

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