Infosys Limited and Cognition announced a strategic collaboration to scale the deployment of Devin, the AI software engineer developed by Cognition, across global enterprises. The partnership aims to accelerate software development and reduce time-to-market for companies worldwide by integrating autonomous engineering capabilities with Infosys Topaz Fabric.

Strategic Partnership and Technology Integration

Under the collaboration, Infosys will deploy Devin across its internal engineering ecosystem and embed the AI agent within client delivery models worldwide. The partnership integrates Cognition's autonomous and agentic engineering capabilities with Infosys Topaz Fabric, a multi-layer AI fabric designed to unify infrastructure, data, models, applications, and workflows into an agent-ready ecosystem.

Infosys Topaz Fabric serves as a purpose-built agentic services suite with secure, modular architecture that combines with Cognition's advanced agentic and autonomous engineering capabilities. This integration aims to help enterprises achieve accelerated time-to-market, enhanced developer productivity, and reduced modernization timelines.

Proven Results and Expansion Strategy

Infosys has been using Devin for the past six months and has observed significant improvements in engineering quality and efficiency. Based on this experience, the company will expand Devin's use across internal teams and client engagements, while also enabling deployment within customers' engineering environments.

The implementation strategy focuses on:

• Automating brownfield engineering and reducing technical debt
• Accelerating modernization through virtual engineer creation
• Handling complex production and maintenance challenges
• Developing industry-specific solutions and AI-native modernization blueprints

Joint Development and Industry Applications

To scale adoption, Infosys and Cognition are collaborating on shared engineering frameworks and enablement programs designed to bring the integrated capabilities of Infosys Topaz Fabric and Devin to engineers across industries. The companies will jointly develop industry-specific solutions, AI-native modernization blueprints, and scalable engineering frameworks, supported by co-innovation labs and enablement programs.

Leadership Perspectives

Scott Wu, Founder & CEO of Cognition, emphasized the significance of bringing autonomous and agentic AI engineering to complex enterprises. He highlighted that Infosys represents the first large digital services and consulting firm to deploy agentic tools at this scale, combining deep industry expertise with advanced platform capabilities.

Salil Parekh, Chief Executive Officer & Managing Director of Infosys, described the collaboration as a significant step forward in accelerating AI value realization for global enterprises, creating a differentiated market value proposition through the integration of advanced engineering capabilities.

Recent Financial Performance

Infosys announced it will release its third quarter results on January 14. The company previously reported a 4.70% rise in net profit for the September quarter, with earnings at ₹6,506.00 crore compared to ₹6,212.00 crore in the same period last year. Revenue increased 4.20% to ₹40,986.00 crore during the quarter.

Infosys has announced a strategic collaboration with Amazon Web Services (AWS) to accelerate enterprise adoption of generative artificial intelligence solutions across business enterprises. This partnership aims to enhance software delivery capabilities and provide superior client benefits through the integration of advanced AI technologies.

Strategic Partnership Overview

The collaboration brings together two key technological platforms to create a comprehensive generative AI solution for businesses. The partnership focuses on combining Infosys's proprietary AI capabilities with AWS's cloud infrastructure and development tools to drive innovation across sectors including manufacturing, telecom, financial services, and consumer goods.

Technology Integration and Applications

The partnership leverages Infosys Topaz, the company's AI-first set of services, solutions, and platforms using generative AI technologies, in combination with Amazon Q Developer. This integration is designed to streamline software development processes and improve overall delivery efficiency for enterprise clients.

Infosys is harnessing the power of this collaboration to drive AI-powered transformations across key functions including software development, HR, recruitment, sales, and vendor management. In the Software Development Lifecycle (SDLC), the integration enables automated documentation and provides tailored support for tasks like code generation, debugging, testing, and legacy code modernization.

Executive Leadership Perspectives

Sandeep Dutta, President, Amazon Web Services (AWS) India and South Asia, emphasized the transformational impact: "Infosys is setting a new benchmark for enterprise transformation through the strategic adoption of generative AI at scale. The combined strengths of Amazon Q and Infosys Topaz will help organizations innovate, achieve operational agility, and unlock differentiated value for their clients."

Balakrishna D. R. (Bali), Executive Vice President, Global Services Head, AI and Industry Verticals, Infosys, highlighted the comprehensive transformation: "Our collaboration with AWS is fundamentally reshaping how enterprise value is created and delivered. By integrating Amazon Q Developer with Infosys Topaz, we are not just transforming our internal functions, but also enabling our clients to reimagine critical functions like HR, recruitment, and vendor management."

Expected Business Impact

The collaboration is positioned to deliver enhanced value to clients through improved software delivery mechanisms and operational efficiency. Infosys is also leveraging AWS generative AI services to deliver cutting-edge solutions across industries, including advanced end-user engagement capabilities for sports and entertainment powered by Infosys Topaz and Amazon Bedrock.

The initiative reflects the growing demand for integrated AI solutions in enterprise environments, where businesses are seeking comprehensive platforms that can accelerate their digital transformation initiatives while maintaining operational efficiency and delivering measurable client benefits at unprecedented scale.