Blackstone-backed IT services company Mphasis announced the launch of Mphasis Tria, a platform-based offering designed to strengthen its artificial intelligence capabilities. According to reports from Business Standard, the company invested 1.5% of its revenue over the last two years to build this outcome-based platform. CEO and Managing Director Nitin Rakesh described it as a first-of-its-kind platform that will change the shape of the company's revenue over time. As per Business Standard, the platform is not an overnight offering but has been in development for some time, with the company taking a big bet with this launch. The latest reports confirm that nearly 1.5% of FY26 revenue has been invested in building the platform and related capabilities.
The platform's standout feature is its ability to enable autonomous decision-making through AI agents, allowing companies to move beyond AI experimentation into coordinated decision-making and measurable business outcomes. According to the latest reports, Mphasis Tria has been built as a three-layer platform stack spanning enterprise knowledge mapping, decision intelligence, and agentic execution. The platform combines Mphasis' Ontosphere and NeoIP assets with Continuum AI, the decision intelligence platform acquired through its acquisition of Theory and Practice. The platform connects enterprise knowledge, causal reasoning, and agentic execution to deliver Agency Applied, transforming enterprise intelligence into governed, accountable, and outcome-oriented actions at scale.
The platform operates entirely on an outcome-based pricing model and is being positioned as a transformative offering for the company. As reported by Business Standard, Rakesh called FY27 the foundational year for rolling out these offerings, with the company expecting to start looking at an annual recurring revenue (ARR) revenue line from FY28 onwards. The company indicated that the platform could gradually alter the shape of its revenue mix over the next few years, with a greater share of implementation-led, managed outcome and gain-sharing engagements. The platform enables enterprises to move beyond AI experimentation into coordinated decision-making and measurable business outcomes across operations, technology, and commercial functions.
As reported by Business Standard, the company has seen significant growth in AI-related sales, with 68% more deals sold in FY26 compared to FY25. The average deal size increased from $52 million to $74 million during the same period. Rakesh emphasized that a lot of what the company has built over the last few years, including new intellectual property, is being used by clients based on the last 12 to 18 months of performance. The platform has been built using new intellectual property developed over recent years, which is already being utilized by clients. Latest reports indicate that the company is already piloting the platform with existing Fortune 50 clients across areas such as payment operations, demand forecasting, pricing optimisation and business process modernisation.
According to Business Standard, Mphasis also unveiled two market-facing product lines powered by Mphasis Tria - Mphasis Modernize and Mphasis Optimize. These additional offerings expand the company's AI-focused service portfolio beyond the core platform capabilities, providing multiple entry points for clients to access the company's AI capabilities. The company indicated that the platform could help improve margin profiles in certain managed services and operations engagements by combining AI agents, workflow orchestration and human oversight. As per Business Standard, Srikumar Ramanathan, chief solutions officer, noted that most enterprises do not lack data, dashboards, models, or AI experiments, but what they lack is the ability to turn that intelligence into coordinated, accountable action that drives measurable business outcomes.
