Chennai: Indium, a leading AI-first digital engineering firm, has officially launched LIFTR AI (Legacy Insights and Feasibility for Transformation and Recommendation), an enterprise-grade Agentic AI platform purpose-built to accelerate the modernization of legacy applications.
Tailored for regulated industries such as Financial Services and Healthcare, LIFTR AI empowers enterprises to transition aging codebases into modern, cloud-ready digital ecosystems – securely, efficiently, and at scale.
Developed within Indium’s AI Lab, LIFTR AI harnesses the capabilities of over 20 specialized AI agents, delivering a powerful suite of features including reverse engineering, modernization recommendations, code dependency analysis, and auto-documentation.
It is designed for on-premise deployment, utilizing locally hosted large language models (LLMs) on NVIDIA GPU clusters, ensuring data security and compliance for highly regulated enterprises.
Also Read: LTIMindtree Unveils GCC-as-a-Service to Power Agile, AI-Enabled Global Capability Centers
Legacy systems often impede innovation and scale. Traditional modernization approaches – manual and time-consuming – struggle to uncover deeply embedded logic, undocumented features, and technical debt.
LIFTR AI offers a data-driven, 5-phase modernization journey – Analyze, Architect, Migrate, Refactor, and Optimize – that significantly reduces time-to-market and ownership costs by up to 60%, and accelerates analysis by 10x.
LIFTR AI stands out for its ability to uncover hidden dependencies, pinpoint technical debt hotspots, and streamline codebase transformation with 90%+ accuracy. By turning complex insights into intuitive visualizations, the platform de-risks digital transformation projects while delivering a higher return on investment.
“Legacy modernization is inherently complex, especially for industries like banking and healthcare where regulatory compliance is critical,” said Dhanasekar Mohan, Principal Solution Architect, Indium. “LIFTR AI is engineered to deliver not just speed, but intelligent precision – allowing organizations to make informed decisions across the modernization lifecycle.”
Inside the LIFTR AI Architecture
At the heart of LIFTR AI is an Agentic AI architecture, which comprises distinct agent categories working in orchestration to deliver intelligent insights and automation:
- Assessment Agents: Align enterprise goals with stakeholder priorities
- Code Analysis Agents: Decode legacy applications and identify risk areas
- Business Logic Agents: Extract and preserve key workflows
- Architecture Agents: Build modernization blueprints
- Cloud Readiness Agents: Assess and validate systems for cloud migration
- Refactoring and Documentation Agents: Clean up codebases and auto-generate technical documentation and visuals
This modular architecture ensures that each step of the transformation process is autonomous, data-informed, and seamlessly integrated – drastically reducing discovery and planning time.
Also Read: HCLTech and UiPath Forge Global Partnership to Advance Agentic Automation for Enterprises
“We’ve seen real impact with LIFTR AI,” said Mohan Ananthanarayanan, Head of Digital Engineering at Indium. “A Fortune 500 financial institution recently reduced its discovery phase from 16 weeks to just 3, transforming a traditionally slow and manual process into an agile, AI-led initiative.”
Whether deployed in on-premises, air-gapped, or hybrid cloud environments, LIFTR AI enables secure modernization without compromising on performance or data privacy. It aligns with enterprise-grade governance standards while supporting integration with existing toolchains.
By simplifying and securing complex modernization projects, LIFTR AI helps enterprises reduce costs, mitigate risk, and future-proof their applications – all while maintaining compliance with industry regulations.
