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Lyzr Achieves AWS Generative AI Competency for Enterprise-Ready AI Agents

NEW JERSEY, NJ, UNITED STATES, July 29, 2025 /EINPresswire.com/ -- Lyzr, the low-code AI agent framework purpose-built for enterprise use cases, announced that it has achieved the AWS Generative AI Competency. This designation recognizes Lyzr as an AWS Partner that has demonstrated deep technical expertise and customer success in building and deploying generative AI solutions using Amazon Web Services (AWS). Lyzr is the first AI agent framework to receive this distinction, marking a significant milestone for organizations looking to bring agentic AI into their AWS ecosystems.

The AWS Generative AI Competency differentiates Lyzr as an AWS Partner with proven proficiency in supporting enterprises with ready-to-use AI agents. These agents are designed for production use from day one, no model purchases, no complex configuration, and no lengthy deployment cycles.
By offering prebuilt, no-code agents through the AWS Marketplace, Lyzr enables AWS customers to move faster with generative AI and integrate intelligence directly into their workflows with minimal lift.

Helping Enterprises Deploy AI Agents with Speed and Simplicity

As enterprises adopt generative AI at scale, the need for reliable, secure, and enterprise-ready agent frameworks has become more urgent. Lyzr addresses this by giving AWS customers access to a wide range of agent templates across functions like sales, marketing, HR, customer service, banking and insurance. These agents can be easily deployed, customized, and monitored, all without the need for managing infrastructure or dealing with model-level complexity.


The competency recognition also validates Lyzr’s role in supporting AWS customers across industries as they move from experimentation to real-world deployment. Many organizations struggle to operationalize generative AI due to infrastructure constraints, safety concerns, or lack of in-house expertise.
Lyzr solves these problems by abstracting the complexity behind agent orchestration, routing, state management, and model integration. The result is a reliable framework that simplifies AI adoption while aligning with AWS’s high standards for scalability and security. With the AWS Generative AI Competency, Lyzr joins a select group of partners helping enterprises build and deploy generative AI applications with confidence. This designation is awarded only to AWS Partners who have met rigorous technical validation and demonstrated success in helping customers achieve real business outcomes through generative AI.

By offering its agent framework directly through the AWS Marketplace, Lyzr helps organizations shorten the path from idea to execution. Enterprises can now add generative AI capabilities to their existing AWS environments without requiring additional procurement cycles, vendor approvals, or complex integration work. The framework supports major LLM provider Amazon Bedrock and supports LLM models such as Nova Micro, Nova Lite, Nova Pro and other Claude & Llama models giving teams the ability to scale usage with enterprise-grade controls. The AWS Competency Program is designed to help customers identify AWS Partners with proven technical expertise and a track record of customer success.

Lyzr’s achievement of the AWS Generative AI Competency represents a major step forward in making Agentic AI accessible, safe, and production-ready for businesses of all sizes. As demand for automation and intelligence accelerates, Lyzr remains focused on helping AWS customers deploy generative AI with speed, clarity, and control.

About Lyzr

Founded in April 2023, Lyzr is dedicated to helping enterprises build and deploy reliable AI agents with a strong focus on privacy, scalability, and seamless integration. Backed by institutional investors, Lyzr serves over 400 clients, key clients include, AirAsia, Nelson Global, Accenture and Dairyland Power. Its solutions portfolio spans AI and vertical AI agents tailored for banking and insurance, driving efficiency in automation and decision-making processes.

Anirudh Narayan
Lyzr AI
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