Kore.ai launches AI tools on AWS Marketplace

Kore.ai introduces AI Agents and Tools on AWS Marketplace, streamlining access for customers to enhance business operations.

  • Friday, 18th July 2025 Posted 1 month ago in by Aaron Sandhu

Kore.ai, a renowned global leader in enterprise AI technology, is making strides with the launch of its AI for Work, AI for Process, and AI for Service offerings on AWS Marketplace. This move places them within the new AI Agents and Tools category, allowing customers to discover, purchase, and deploy AI solutions effortlessly using their AWS accounts. The objective is to hasten the development of AI agent workflows and facilitate seamless integration into existing business processes.

With a suite of prebuilt business and industry-specific solutions, including those tailored for sectors like banking, healthcare, retail, and travel, Kore.ai aims to empower employees to operate faster and smarter. These tools are designed to enhance enterprise search capabilities, offer prebuilt agents that elevate customer service, and ultimately drive operational efficiency and improved business outcomes by transforming knowledge-intensive tasks.

In the words of Kore.ai's CEO and Founder, Raj Koneru, "By offering Kore.ai products through the AWS Marketplace... we're providing customers with a streamlined way to access our agentic platform and business solutions, helping them buy and deploy AI agent solutions faster and more efficiently". This partnership emphasizes how organizations across BFSI, healthcare, retail, and travel have already reaped substantial benefits in efficiency and speed.

The introduction of AI Agents and Tools in AWS Marketplace signifies a substantial evolution in AI procurement and deployment. Businesses can accelerate their innovation strategies by centralizing procurement with AWS accounts. This ensures improved visibility, control over licensing, payments, and straightforward access management.

Furthermore, Kore.ai collaborates closely with AWS, enhancing their AI agents' integration capabilities across various Amazon models and infrastructures, including platforms like Amazon Q, Amazon Connect, and Bedrock.

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