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Indian Army Details AI Use in Operation Sindoor With 94% Targeting Accuracy Claimed

A senior commander described AI‑fused, home‑grown systems built on decades of sensor data that delivered high‑confidence targeting during May’s cross‑border strikes.

Overview

  • Lt Gen Rajiv Kumar Sahni said 23 indigenous applications fused multi‑source inputs to give commanders a single, real‑time operational picture during the operation.
  • Battlefield models drew on 26 years of recorded radio emissions and frequency signatures to help predict locations of enemy guns, missile units and other assets.
  • An in‑house electronic‑intelligence collation tool was rapidly modified to locate enemy sensors and produce a common surveillance picture for target acquisition.
  • AI‑enabled meteorology, including forecasts about 200 km into enemy territory and apps such as Anuman 2.0, supported long‑range engagement planning with wind and trajectory data.
  • Officials highlighted a broader push to institutionalize AI with the 2024–25 Year of Technology Absorption, the Bengaluru‑based AARIC, and work on a unified AI platform integrating operations, intelligence, logistics and training.