Kellton Tech Solutions Launches Phoenix.AI to Modernize Enterprise Legacy 80% Faster at Half the Cost

2 min read     Updated on 18 May 2026, 05:37 PM
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AI Summary

Kellton Tech Solutions announced the launch of Phoenix.AI on May 18, 2026, a purpose-built agentic platform that modernizes enterprise legacy systems up to 80% faster and at up to 50% lower cost. The platform is already deployed in one of Kellton's largest AI-led modernization engagements, migrating over 4 million lines of Progress ABL/OpenEdge code to Microsoft .NET Core for a US-headquartered global enterprise software leader, spanning 12 core business modules into a cloud-native microservices architecture.

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Kellton Tech Solutions Limited announced the launch of Phoenix.AI on May 18, 2026, a purpose-built agentic platform aimed at transforming how enterprises modernize legacy systems. Built AI-to-the-core and fully scalable by design, the platform re-engineers monolithic estates into cloud-native microservices, compressing multi-year transformation programmes into weeks. According to the company, Phoenix.AI accelerates modernization by up to 80% while reducing associated costs by up to 50%.

Platform Architecture and Capabilities

Phoenix.AI operates through a continuously running, agentic transformation framework that automates the end-to-end lifecycle of enterprise code modernization. The platform is orchestrated through Kellton's proprietary modernization blueprint and is built on frontier AI capabilities. The following highlights summarize its core functional scope:

  • Analysis and decomposition of legacy codebases into microservices
  • Automated conversion, validation, and remediation of enterprise code
  • Quality assurance with built-in self-correction and execution intelligence
  • Preservation of enterprise-grade reliability, governance, and operational continuity
  • Accumulated delivery learning to strengthen transformation outcomes over time

The platform's self-correction and execution intelligence are designed to lift engineering productivity, accelerate release cycles, and improve overall transformation outcomes.

Live Enterprise Deployment

Phoenix.AI is already powering one of the largest AI-led code modernization programmes currently being executed by Kellton, for a US-headquartered global enterprise software leader serving manufacturers across the Americas, EMEA, and APAC. The key parameters of this engagement are detailed below:

Parameter: Details
Source Code Volume: More than 4 million lines
Migration Stack (Source): Progress ABL/OpenEdge
Migration Stack (Target): Microsoft .NET Core and Entity Framework
Architecture Target: Cloud-native microservices
Business Modules Covered: 12 core modules
Key Modules: Purchase, Production, Sales, Common Services, and other operational domains

The programme spans 12 core business modules that form the backbone of the client's flagship enterprise platform, including Purchase, Production, Sales, and Common Services, among other operational domains.

Leadership Commentary

Mr. Niranjan Chintam, Founder and Chairman, Kellton Tech Solutions Limited, commented on the launch:

"For decades, enterprise modernization has been a tax on ambition — too slow, too expensive, too risky. Deeply embedded legacy estates, rising technology debt, and growing demands for agility have only widened that gap. Phoenix.AI was purpose-built to close it. What sets Kellton apart is that we are not positioning AI as an overlay to transformation; we are embedding it into the core of enterprise engineering and delivery. Phoenix.AI is already accelerating legacy modernization by up to 80%, while cutting transformation complexity, engineering overhead, and associated costs by up to half. Phoenix.AI represents a defining shift in how enterprise transformation will be delivered in the AI era."

About Kellton Tech Solutions

Kellton Tech Solutions is an AI-led digital transformation and technology consulting company with global delivery capabilities. The company partners with enterprises to build fully scalable digital platforms, modernize legacy estates into cloud-native microservices, and accelerate intelligent automation journeys. With over 2,000 professionals across North America, Europe, the Middle East, and Asia, Kellton delivers solutions across cloud, data, AI, enterprise platforms, and digital product engineering. The commercial rollout of Phoenix.AI marks the company's transition from AI experimentation to AI-led enterprise execution at scale.

Historical Stock Returns for Kellton Tech Solutions

1 Day5 Days1 Month6 Months1 Year5 Years
+0.14%-6.17%-6.47%-27.12%-37.42%+16.60%

How might Phoenix.AI's claimed 80% acceleration in legacy modernization impact Kellton Tech's competitive positioning against larger IT services firms like Infosys or Wipro that are also investing heavily in AI-led transformation platforms?

Could the success of the current US-based enterprise deployment lead Kellton to pursue similar large-scale contracts in EMEA or APAC, and what revenue potential could such deals unlock for the company?

As agentic AI platforms like Phoenix.AI automate significant portions of code migration work, what are the longer-term implications for Kellton's workforce composition and billing model?

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Kellton Tech Commercially Launches Structi.ai AI Context Engine for Enterprise Intelligence

2 min read     Updated on 08 May 2026, 09:54 AM
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Reviewed by
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AI Summary

Kellton Tech Solutions commercially launched Structi.ai on May 07, 2026, a multi-layered AI context engine that processes over 10 million data assets daily across 50+ formats with 99.9% benchmark accuracy and sub-two-second turnaround. The platform combines GenAI, Agentic AI, metadata enrichment, and decision orchestration to convert unstructured enterprise data into AI-ready intelligence, targeting sectors like banking, insurance, healthcare, and manufacturing.

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Kellton Tech Solutions has announced the commercial launch of Structi.ai, a next-generation AI context engine designed to help enterprises transform unstructured data into contextual, AI-ready intelligence at scale. The announcement was made on May 07, 2026, from Hyderabad, pursuant to Regulation 30 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015.

Platform Capabilities and Performance

Structi.ai enables businesses to unlock value from documents, images, audio files, and other fragmented enterprise content that traditional systems and AI workflows often struggle to process effectively. The platform combines GenAI, Agentic AI, metadata enrichment, and decision orchestration capabilities to convert raw enterprise data into structured, contextual intelligence. The following table outlines the core operational parameters of the platform:

Parameter: Details
Product Name: Structi.ai
Function: Converts unstructured data into contextual, AI-ready intelligence
Daily Data Processing Capacity: Over 10 million data assets
Supported Data Formats: Over 50
Average Turnaround Time: Under two seconds
Benchmark Accuracy Rate: 99.9%
Target Industries: Banking, insurance, healthcare, manufacturing

Architecture and Key Differentiators

Structi.ai operates through a multi-layered architecture spanning intelligent ingestion, AI-led extraction and analysis, metadata and relationship mapping, AI-augmented domain-based data quality validation, and a decisioning layer that enables conversational querying and workflow integration. A key differentiator of the platform is its AI-augmented domain validation capability, which applies industry-specific rules, semantic understanding, contextual anomaly detection, and domain ontologies to improve the accuracy, completeness, consistency, and reliability of enriched data before it reaches downstream systems or AI models. These capabilities are particularly relevant for industries such as banking, insurance, healthcare, and manufacturing, where data quality, compliance, and operational precision remain critical.

Originally developed as an internal accelerator for enterprise AI-driven enrichment initiatives, Structi.ai has evolved into a scalable enterprise-grade platform designed to help organizations build stronger foundations for intelligent automation and AI-ready operations.

Leadership Commentary

Pavan Yerra, Chief Data and AI Officer at Kellton Tech Solutions Ltd., commented on the launch: "Enterprises today are sitting on vast volumes of unstructured data that remain inaccessible to AI systems and business workflows. Structi.ai was built to bridge that gap by transforming fragmented enterprise content into meaningful, decision-ready intelligence. We see this as a strategic addition to Kellton's growing AI-led platform portfolio and an important step toward enabling scalable enterprise AI adoption."

Future Roadmap

Kellton stated that future enhancements to Structi.ai will further expand conversational intelligence capabilities, enabling business users to access enriched enterprise insights through natural language interactions with minimal technical intervention. With over 2,000 professionals across North America, Europe, the Middle East, and Asia, Kellton delivers solutions across cloud, data, AI, enterprise platforms, and digital product engineering.

Historical Stock Returns for Kellton Tech Solutions

1 Day5 Days1 Month6 Months1 Year5 Years
+0.14%-6.17%-6.47%-27.12%-37.42%+16.60%

How will Structi.ai compete against established unstructured data processing platforms like Microsoft Azure AI Document Intelligence or AWS Textract in winning enterprise contracts?

Which specific banking or insurance clients has Kellton Tech already onboarded for Structi.ai, and what revenue contribution is the platform expected to make in FY2027?

Could the conversational intelligence roadmap position Structi.ai as a direct competitor to enterprise AI platforms like ServiceNow or Salesforce Einstein in workflow automation?

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