Mphasis, the Bengaluru-based IT services firm, has announced a Rs 260 crore investment to build and scale artificial intelligence (AI) platforms over the next three years. The move aims to strengthen the company’s proposition in generative AI, automation, and industry-specific AI solutions for banking, insurance, and retail clients.
The funding will support platform development, cloud infrastructure, partner integrations, and hiring of AI engineers and data scientists. Mphasis plans to allocate roughly 40% (about Rs 104 crore) to core platform engineering and model development, 30% (about Rs 78 crore) for cloud and edge deployment, and the remaining 30% for partnerships, talent, and go-to-market activities.
Mphasis expects the platforms to accelerate customer deployments by providing pre-built AI modules for document understanding, conversational AI, anomaly detection, and predictive maintenance. The company said these platforms could cut deployment time by up to 50% compared with bespoke projects, based on pilot results with early clients in 2025.
The investment also includes upskilling programmes for 2,000 employees through internal AI bootcamps and certifications, and partnerships with universities for research. Mphasis reported a 2025 revenue of about Rs 11,000 crore; the new AI push aims to grow high-margin digital services and lift overall growth.
Industry analysts welcomed the investment, noting strong demand for ready-made AI solutions among enterprise clients cautious about building models in-house. Mphasis will report progress in quarterly updates and track metrics such as platform adoption, deal pipeline, and AI-generated revenue. The company said the Rs 260 crore programme is part of a broader strategy to make AI a core revenue driver by 2028.
FAQs [Frequently Asked Questions]
1. Who benefits from Mphasis’s Rs 260 crore investment?
Clients in banking, insurance, retail, Mphasis employees through upskilling, technology partners, and universities collaborating on research and solutions.
2. What AI products will the investment create?
Pre-built modules for document understanding, conversational AI, anomaly detection, predictive maintenance, and industry-specific automation platforms.
3. What are the expected business outcomes?
Faster deployments (up to 50% quicker), increased digital revenue, wider platform adoption, and improved margins by 2028.