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Indium Launches LIFTR.ai, an Agentic AI Platform for Application Modernization

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Indium | LinkedIn

  • Crafted in Indium’s AI Lab, the platform is powered by a network of more than 20 AI agents, including those for reverse engineering, documentation, and modernization recommendation

  • The platform reduces time-to-market and ownership costs by up to 60 percent and accelerates analysis by 10x, while identifying technical debt hotspots, undocumented features, and code dependencies with over 90 percent accuracy

Indium, an AI-driven digital engineering firm that empowers enterprises to innovate and scale, announced the launch of LIFTR.ai (Legacy Insights and Feasibility for Transformation and Recommendation), an enterprise-grade, Generative AI-powered platform that is engineered to accelerate and de-risk modernization of legacy applications, specifically for regulated industries such as Financial Services and Healthcare.

Crafted in Indium’s AI Lab, LIFTR.ai blends Agentic AI and system intelligence to help organizations transform legacy applications into scalable, cloud-ready digital assets. It is built for secure, on-premises deployment, operating fully within a customer’s infrastructure using locally hosted LLMs on NVIDIA GPU clusters. It supports a 5-phase modernization journey—Analyse-Architect-Migrate-Refactor and Optimize.

Also Read: Emerging IT Trends And Technologies Every CIO Should Stay Ahead Of

The platform embodies Indium’s AI-first, customer-focused model, reducing time-to-market and ownership costs by up to 60 percent, accelerating analysis by 10x and reducing discovery time by 80 percent—while revealing hidden dependencies in legacy code. It also converts complex insights into clear visualizations, enabling faster, risk-reduced transformation and better ROI on technology investments.

At the core of LIFTR.ai is an Agentic AI Architect – a network of AI agents, each addressing key modernization tasks:

  • Assessment Agents align goals and challenges with stakeholders
  • Code Analysis Agents decode legacy applications and pinpoint technical debt
  • Business Logic Agents uncover and retain essential workflows
  • Architecture Agents design end-to-end transformation blueprints
  • Cloud Readiness Agents assess and prepare systems for cloud migration
  • Refactoring and Documentation Agents improve code, reduce debt, and auto-generate documentation and graphics

Also Read: CIO Interview with Ramprakash Ramamoorthy, Director of AI Research, ManageEngine

“Traditional modernization approaches are slow and risky owing to manual processes and limited visibility into complex codebases,” said Dhanasekar Mohan, Principal Solution Architect, Indium. “LIFTR.ai, which integrates specialized AI agents that work across analysis, design, and cloud migration, delivers speed and precision which are crucial for all enterprises, more so for those in Financial Services and Healthcare.”

“LIFTR.ai enables secure modernization across on-premises, air-gapped, or hybrid clouds,” said Mohan Ananthanarayanan, Head, Digital Engineering, Indium. “A Fortune-500 financial major recently reduced legacy discovery time from 16 weeks to 3 weeks, turning a cumbersome process into a data-driven, cost-efficient migration solution.”

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