Overview

• Officials said 23 homegrown applications powered real-time multi-sensor and multi-source fusion to give commanders a common operational picture during the May strikes.
• Battlefield modelling that combined live feeds with 26 years of signals data reportedly achieved more than 94% accuracy in locating and enabling targeting of enemy assets.
• An electronic intelligence collation system was rapidly customized to locate adversary sensors, while the Trinetra system integrated with Project Sanjay to provide a shared view.
• The in-house Anuman 2.0 tool delivered weather forecasts up to 200 km across the border for long-range fires planning, as AI-enabled RPAs supplied real-time imagery without delay.
• The Army is rolling out a unified indigenous AI platform, new governance and test frameworks, and initiatives such as AARIC and six Lines of Effort to institutionalize AI and support tri-service data sharing.