How AS Software Replaced 290+ Instances With One Platform

AS Software ran 290+ single-tenant VB6 stacks, one per customer. Ideas2IT consolidated them into one multi-tenant SaaS, cutting ~$500K+ a year in third-party licensing.

$500K+/yr

Cut in third-party licensing

6–12 months

Implementation Time

Murali Vivekanandan

President

Ideas2IT Technologies

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The Challenge

The customer is a market leader in the ultrasound segment, but its codebase was 20+ years old and not built for cloud or multitenancy, so every customer needed a separate deployment of the full stack. The economics only ran one way: each new customer meant another full stack to stand up and maintain, so the cost of serving a customer climbed with every deal. Running 290+ independent stacks made everything slower too, since releases had to be pushed to each instance one at a time and, with the frontend coupled to the core and nothing multi-tenant, features could not be built once and shipped everywhere. A bundled commercial image viewer added significant COGS, and rich imaging and study data went unmonetized. After a PE acquisition with a mandate to accelerate growth, the modernization had aggressive timelines that traditional development could not meet.

What They Built

Ideas2IT ran Legacyleap, its Gen AI-powered legacy modernization platform, across the entire VB6 and .NET codebase before the rewrite, using its agents to read, document, and map the application's architecture, dependencies, and business logic and produce concrete modernization recommendations. That cut the overall rewrite by 60%. Ideas2IT then consolidated the 290+ single-tenant instances into a multi-tenant SaaS on AWS, decoupled the React frontend from the core, and migrated the full database to the cloud, so releases deploy automatically from a single source. The commercial image viewer was rebuilt as an AI-powered solution the company owns, removing an estimated $500K or more per year in per-customer licensing. Three production AI products shipped in the same 12-month window on Anthropic Claude with smaller task-specific models: AI Imaging Analytics, Voice-to-Text Documentation (cutting documentation time an estimated 50%), and Conversational BI.

Before the rewrite began, Ideas2IT ran Legacyleap, its Gen AI legacy-modernization platform, across the entire VB6 and .NET codebase. Its agents read the application in full, documented it, and mapped architecture, dependencies, and business logic, then produced concrete modernization recommendations. That gave the team a complete view of what lived inside 290+ instances without months of manual code archaeology, and it cut the overall rewrite by 60%. Ideas2IT then consolidated the 290+ single-tenant instances into a multi-tenant SaaS on AWS, decoupling the React frontend from the core so features could ship on their own, and migrating the full database to the cloud in the same move. Releases that once meant updating each instance by hand now deploy automatically from a single source. The commercial image viewer was rebuilt as an AI-powered product the company owns, removing an estimated $500K or more a year in per-customer licensing. With the platform rebuilt, three production AI products shipped in the same window: AI imaging analytics, voice-to-text clinical documentation, and conversational BI, all running on Anthropic Claude with smaller task-specific models where a lighter one suffices.

AI Role

Gen AI modernizes and runs the platform: Legacyleap maps and accelerates the rewrite, and three production products (imaging analytics, voice-to-text, conversational BI) run on Anthropic Claude.

Infrastructure

AWS (multi-tenant SaaS) • React frontend decoupled from core • MSSQL migrated to cloud • .NET Framework 4 to .NET 10 • GitHub and GitHub Actions CI/CD

Integration Points

Legacyleap agents read and map the VB6/.NET codebase • MigratiX migrates the database to cloud • Multi-tenant releases deploy from a single source • AI products (imaging, voice-to-text, conversational BI) call Claude with task-specific model routing

Impact

~$500K+/yr in licensing eliminated

The licensed image viewer became diagnostic imaging the company owns, removing the per-customer fee that grew with every deal and lifting gross margin. (Estimated)

60% less rewrite effort

Legacyleap read and mapped 290+ instances up front, so the modernization skipped months of manual code archaeology.

3 AI products shipped in 12 months

AI imaging analytics, voice-to-text clinical documentation, and conversational BI all shipped in the same window, with voice-to-text cutting documentation time an estimated 50%.

Technology Utilized

Implementation Complexity

Cost Reduction

Revenue Growth

Best Fit For

Software companies that ship a separate deployment per customer, where infrastructure or third-party licensing compounds with every deal and legacy architecture stands between the company and AI.

Murali Vivekanandan

President

Ideas2IT Technologies

Ideas2IT is an AI engineering partner that helps companies modernize legacy systems and ship production AI, from agentic platforms and governed data estates to generative and document AI.

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Industry:

Healthcare & Life Sciences

Business Function:

Product & Engineering

Operations

Company Size:

51-250

Project Cost:

Cost not disclosed

Ownership:

Private Equity-Backed

Organization Type:

Private Company

AI Pattern:

AI-Accelerated Custom Software

Computer Vision

Conversational AI (Chatbot / Agent)

Natural Language Processing

Value Type:

Cost Reduction

Revenue Growth

AI Model:

Claude

Frequently Asked Questions

How did AS Software replace 290+ instances with one platform?

The experts first ran their Gen AI legacy-modernization platform across the entire VB6 and .NET codebase to map architecture, dependencies, and business logic, cutting the rewrite by 60%. They then consolidated 290+ single-tenant stacks into one multi-tenant SaaS on AWS and rebuilt the bundled commercial image viewer as an owned product, removing an estimated $500K or more a year in third-party licensing.

What AI tools and models were used in the AS Software modernization?

A Gen AI legacy-modernization platform (Legacyleap) read and documented the codebase to accelerate the rewrite, and three production AI products shipped on the new platform, imaging analytics, voice-to-text clinical documentation, and conversational BI, running on Anthropic Claude with smaller task-specific models where a lighter one suffices.

What results did AS Software achieve?

An estimated $500K or more a year in per-customer licensing was eliminated, the rewrite took 60% less effort by skipping manual code archaeology, and three AI products shipped within 12 months, with voice-to-text cutting documentation time an estimated 50%.

How long did the modernization take?

Three production AI products shipped within a 12-month window, after an up-front Gen AI modernization pass cut roughly 60% of the rewrite effort by mapping 290+ instances automatically.

Who is this modernization approach best for?

Software companies that ship a separate deployment per customer, where infrastructure or third-party licensing compounds with every deal and legacy architecture stands between the company and AI.

Originally published by

Ideas2IT