Mphasis has announced the acquisition of Theory and Practice Business Intelligence Inc. (TAP), a technology company known for its Continuum AI platform, as part of its strategy to strengthen ‘Decisioning Intelligence’ capabilities and align with its NeoIP™ roadmap.
Founded in 2018 and headquartered in Vancouver, Canada, TAP specialises in combining artificial intelligence with behavioural economics to enhance business decision-making and customer understanding. Its Continuum AI platform supports real-time enterprise decision-making across domains such as demand forecasting, pricing, marketing, and supply chain, helping organisations move from data to actionable insights.
The acquisition involves an upfront consideration of CAD 10 million, along with milestone-based contingent payments of up to CAD 20 million over multiple years. Through this integration, Mphasis aims to add a critical decision intelligence layer that leverages causal modelling, optimisation, and advanced AI capabilities to deliver measurable business outcomes at scale.
Nitin Rakesh, Chief Executive Officer and Managing Director, Mphasis, said the acquisition will act as a catalyst for NeoIP™, enabling the company to move beyond task automation towards systems that can reason over business objectives and deliver outcome-driven intelligence.
Dr Rogayeh Tabrizi, Founder and CEO, TAP, noted that the combined capabilities will allow enterprises to transition from isolated AI experiments to scalable, repeatable decision-making frameworks. She will join Mphasis as Executive Vice President – CPG and Head of Decision AI.
Ramanathan Srikumar, Chief Solutions Officer, Mphasis, highlighted that the acquisition strengthens the context engineering layer required for agentic workflows, enabling organisations to design, execute, and continuously improve business outcomes through advanced decision intelligence.
The acquisition reinforces Mphasis’ positioning as an AI-led, platform-driven solutions provider, while expanding its presence in retail and consumer packaged goods and bringing in specialised expertise in AI, data science, and behavioural economics.
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