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Home»Interviews»EltegraAI Launches Enterprise AI Platform That Cuts Legacy Modernization Time from 18 Months to three.5
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EltegraAI Launches Enterprise AI Platform That Cuts Legacy Modernization Time from 18 Months to three.5

Editorial TeamBy Editorial TeamMay 27, 2026Updated:May 27, 2026No Comments3 Mins Read
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EltegraAI Launches Enterprise AI Platform That Cuts Legacy Modernization Time from 18 Months to three.5
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Enterprise AI platform that cuts legacy modernization time from 18 months to three.5 months with full compliance traceability

As we speak Eltegra Inc. launches the EltegraAI Enterprise AI Platform, delivering what enterprises have been unable to get from AI coding instruments alone: a ruled, traceable pipeline from enterprise intent to production-ready methods and brokers.

AI can generate code, however enterprises nonetheless lack a system for producing software program they will belief, audit, and deploy.”

— Fima Katz

In a single validated engagement, a 2.5-million-line PowerBuilder modernization projected at 18.5 months was accomplished in 3.5 months, lowering supply time by 15 months and estimated value by $2-3M.

Enterprises don’t want extra AI demos. They want a brand new working layer for turning enterprise intent into ruled, production-ready methods. Compliance pressures, audit publicity, and institutional data buried deep in legacy environments have made that layer unattainable — till now. EltegraAI is constructed to fill this hole.

Additionally Learn: AIThority Interview With Rohit Agarwal, Founder & CEO of Portkey

EltegraAI orchestrates specialised AI brokers to seize intent, extract data, generate necessities, create checks, validate high quality, and map compliance — all earlier than handing work to coding instruments comparable to Claude, Codex, or Copilot. Each output is traceable again to its supply.

On the heart is EltegraAI’s patent-pending Enterprise Dynamic Information Graph, which reconstructs enterprise intent from legacy methods and enterprise data sources together with COBOL, .NET, Java, SAP, PowerBuilder, saved procedures, documentation, insurance policies, requirements, and human experience. As a result of each agent operates from a verified Information Graph moderately than uncooked, unstructured prompts, EltegraAI delivers a measurable value benefit: considerably decrease token consumption per engagement — more and more vital as enterprise AI prices shift to token-based pricing.

The platform helps three use circumstances: legacy system modernization, duplicate utility consolidation, and net-new AI agent supply. Every engagement begins with a proof of worth delivered in three to 4 weeks.

“AI can generate code, however enterprises nonetheless lack a system for producing software program they will belief, audit, and deploy,” stated Fima Katz, founder and CEO of Eltegra Inc. “We constructed EltegraAI to be that lacking layer — an clever system of document for enterprise agent supply. As a result of the Information Graph compounds with each engagement, every transformation makes the subsequent one quicker, cheaper, and extra correct.”

The platform is especially well-suited for regulated industries together with banking, insurance coverage, healthcare, and authorities, the place ruled, traceable supply just isn’t optionally available. It integrates with main AI coding instruments and supply platforms together with Jama Join, IBM DOORS, Jira, Sourcegraph, and CAST.

“Most legacy code modernization instruments leverage AI to transform previous code to new,” stated Jason Bloomberg, Managing Director of analyst agency Intellyx. “EltegraAI takes a basically totally different strategy: constructing a data graph that represents legacy performance, then producing completely new functions from that graph. The result’s fashionable methods that carry actual enterprise logic — whereas minimizing hallucinations.”

The EltegraAI Enterprise AI Platform is on the market now. Eltegra Inc. is working with a number of companions to ascertain a ruled basis for AI supply throughout industries.

Additionally Learn: ​​AI-Pushed Threat Intelligence: How FIs Are Predicting Systemic Shocks

[To share your insights with us, please write to psen@itechseries.com]



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