Indium Launches The Lifter to Ease Tech Debt

Validated across 8+ global implementations, Indium’s platform eases the trillion dollar technical debt crisis through “Software Archaeology”

CUPERTINO, Calif.--(BUSINESS WIRE)--Indium, a leading AI-driven digital engineering powerhouse, today announced the launch of The Lifter, an agentic AI platform designed to address the substantial "Reverse Engineering Tax" that currently constrains innovation within enterprises. The Lifter enables organizations to automate the understanding of legacy systems with its’ “Archaeology before Architecture” methodology, that compresses months of manual discovery into mere weeks.

An Invisible Tax

In the world of modern software engineering, two things are certain: debt and taxes. For the average US enterprise, 40% of the IT balance sheet is consumed by technical debt. This "Reverse Engineering Tax" forces developers to spend 58–70% of their time simply trying to understand their own existing code rather than writing new features.

Archaeology Before Architecture – using Agentic AI to read code and documentation

The Lifter is a fundamental shift in how modernization is viewed. It rejects the industry norm of "modernize now, pay taxes later" in favor of automated system archaeology with ‘Engineers in the loop’. The platform uses Agentic AI to build a complete, deep-layer understanding of an enterprise’s entire estate—including applications, data, and testing—before a single line of code is moved or refactored.

“For 20 years, modernizing legacy systems has been a high-risk guessing game that impacts productivity. We built The Lifter to change that with a 'read before you write' philosophy—understanding what you have before you try to change it," said Ram Khizamboor, COO at Indium. “The platform is built with Claude as its primary foundation, yet it is architected to be LLM-agnostic, ensuring it can seamlessly integrate with any large language model an enterprise prefers.”

“In industries such as Insurance, Financial Services, Technology, and Healthcare, companies that have been burdened by technical debt are finally achieving value realization and unlocking the full potential of their systems,” said Ritesh Khanna, CRO at Indium. “Our platform is already seeing remarkable results from our first few global implementations across North America and Europe. The Lifter is helping these organizations transform their technical debt into a foundation for rapid, modern innovation.”

The Three Pillars of Modernization

The Lifter provides a unified intelligence layer across three critical surfaces of the enterprise:

1. Legacy Lifter: Automates code archaeology across undocumented codebases, mapping dependencies and extracting embedded business logic. It reduces assessment cycles from months to weeks and improves engineering productivity by up to 5x.
2. Data Lifter: Analyzes legacy schemas and hidden data dependencies to ensure semantic integrity during migrations. This allows teams to migrate faster by up to 5x while ensuring the "meaning" of data survives the journey.
3. Test Lifter: Replaces "deploy with hope" with evidence through AI-driven test generation and impact-based regression. Teams can cut test cycles by up to 70% while ensuring that changes hold up under real-world production stresses.

Enterprise-Fit: Secure & Auditable

Designed for highly regulated industries such as Financial Services and Healthcare, The Lifter is built with an "Engineer-in-the-Loop" governance model. It can run entirely on-premises with private and open-source LLMs, ensuring that sensitive codebases and data never leave the client's control. Every AI-generated insight is inspectable and reviewable by human engineers, providing full auditability and traceability.

About Indium

Indium is an AI services company that helps enterprises build, scale, and innovate with cutting-edge technology. Backed by the prominent private equity firm EQT, Indium has spent 26 years providing excellence in digital engineering for Fortune 500 firms. With an "AI-first by design" approach, Indium specializes in Agentic AI, Data & Analytics, Application Engineering, and Quality Engineering.