Posted by Chennai: AI services company Indium has announced the launch of its agentic AI platform The Lifter, addressing the key “Reverse Engineering Tax” issue during legacy applications and systems modernisations within the enterprises.
The Lifter platform enables organisations to automate the understanding of legacy systems with its’ “Archaeology before Architecture” methodology, that compresses months of manual discovery into mere weeks., the company said.
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.
According to Indium, the new agentic AI platform is a fundamental shift in how modernisation is viewed. It rejects the industry norm of “modernize now, pay taxes later” in favour 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 efore a single line of code is moved or refactored, the company said in a press release.
It is designed for highly regulated industries such as financial services and healthcare, And is built with an “Engineer-in-the-Loop” governance model that 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,
“For 20 years, modernising 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 – 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,” added Khizamboor.
“In industries such as insurance, financial services, technology, and healthcare, companies that have been burdened by technical debt are finally achieving value realisation and unlocking the full potential of their systems,” said Ritesh Khanna, CRO – Indium.
“Our platform is already seeing remarkable results from our first few global implementations across North America and Europe. The Lifter is helping these organisations transform their technical debt into a foundation for rapid, modern innovation,” added Khanna.
The Lifter provides a unified intelligence layer across three critical areas of the enterprise including legacy applications and systems, data and testing.
Legacy Lifter helps to automate 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.
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.
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.