Kellton Launches Phoenix.AI To Modernise Legacy Systems

21 May 2026 CW Team

Phoenix.AI operates through a continuously running transformation framework that automates the end-to-end lifecycle of code modernisation. The platform performs analysis and decomposition into microservices, conversion, validation, remediation and quality assurance while preserving enterprise-grade reliability, governance and operational continuity. Its embedded self-correction and execution intelligence are said to lift engineering productivity, accelerate release cycles and improve outcomes through accumulated delivery learning, reducing engineering overhead and transformation complexity.

The company reported that Phoenix.AI is already deployed across enterprise engagements and is powering one of the largest AI-led code modernisation programmes it is executing for a US-headquartered global enterprise software leader serving manufacturers in the Americas, EMEA and APAC. The engagement involves migration of more than four million (mn) lines of source code from Progress ABL/OpenEdge to a modern Microsoft .NET Core and Entity Framework stack, re-engineered into a fully scalable, cloud-native microservices architecture.

The programme covers 12 core business modules, including Purchase, Production, Sales and Common Services, which form the backbone of the client's flagship enterprise platform. Kellton said the commercial rollout marks a decisive transition from AI experimentation to AI-led enterprise execution at scale and that Phoenix.AI will enable clients to operationalise legacy modernisation with greater speed, predictability and efficiency. The company noted it employs over 2,000 professionals across North America, Europe, the Middle East and Asia.

Kellton Tech Solutions has launched Phoenix.AI, an agentic, AI-to-the-core platform designed to modernise enterprise legacy systems at greatly increased speed and lower cost. The company said the platform re-engineers monolithic estates into cloud-native microservices, compressing multi-year transformation programmes into weeks and accelerating modernisation by up to 80 per cent while reducing costs by up to 50 per cent. The product is presented as fully scalable by design and built on advanced artificial intelligence capabilities. Phoenix.AI operates through a continuously running transformation framework that automates the end-to-end lifecycle of code modernisation. The platform performs analysis and decomposition into microservices, conversion, validation, remediation and quality assurance while preserving enterprise-grade reliability, governance and operational continuity. Its embedded self-correction and execution intelligence are said to lift engineering productivity, accelerate release cycles and improve outcomes through accumulated delivery learning, reducing engineering overhead and transformation complexity. The company reported that Phoenix.AI is already deployed across enterprise engagements and is powering one of the largest AI-led code modernisation programmes it is executing for a US-headquartered global enterprise software leader serving manufacturers in the Americas, EMEA and APAC. The engagement involves migration of more than four million (mn) lines of source code from Progress ABL/OpenEdge to a modern Microsoft .NET Core and Entity Framework stack, re-engineered into a fully scalable, cloud-native microservices architecture. The programme covers 12 core business modules, including Purchase, Production, Sales and Common Services, which form the backbone of the client's flagship enterprise platform. Kellton said the commercial rollout marks a decisive transition from AI experimentation to AI-led enterprise execution at scale and that Phoenix.AI will enable clients to operationalise legacy modernisation with greater speed, predictability and efficiency. The company noted it employs over 2,000 professionals across North America, Europe, the Middle East and Asia.

Real Estate

30 Jul 2026

AI: The New Recruit

From getting ideas to evaluating designs, presenting concepts to clients and tracking projects, artificial intelligence (AI) is helping architects work better and faster.“AI allows architects to spend more time doing what only they can do: think critically, synthesise complexity and design with intent,” says Dikshu C Kukreja, Managing Principal, CP Kukreja Architects. “Every minute reclaimed from repetitive processes can be invested in creativity, contextual understanding, interdisciplinary collaboration and innovation – the qualities that define meaningful architecture.”To read the ..

Real Estate

30 Jul 2026

Redevelopment 2.0

In 2017, Mumbai identified 160,000 ageing buildings due for structural audit. Close to half of these were in the Western Suburbs. Redeveloping the oldest and structurally weakest of these would help unlock new housing, much needed given the city’s growing population density and constant developed area of 437.7 sq km. At 30,600 people per sq km in 2024, Mumbai’s density was almost thrice that of Gurugram, and 60 per cent higher than Bengaluru’s.Essentially, Mumbai’s realty market has demand. It has capital. It has realty development potential.Fast forward to 2026. Mumbai has 1,094 regis..

Technology

30 Jul 2026

Cost intelligence will become a strategic contributor to project success

As India's construction industry accelerates its digital transformation, integrated platforms, AI and connected data are becoming essential to improving cost certainty, project efficiency and sustainability. Ravi Kumar, Sales Director – India, RIB Software India, shares how digital workflows are reshaping project planning, commercial management and decision-making across the construction value chain.India's construction sector is embracing digital technologies at an unprecedented pace. From your perspective, what are the biggest shifts driving this transformation and how is RIB Software enab..