Affle 3i Ltd Share Price – NSE  / BSE

IT - Software, Small Cap

Net profit of Affle 3i rose 20.13% to Rs 110.51 crore in the quarter ended September 2025 as against Rs 91.99 crore during the previous quarter ended September 2024. Sales rose 19.13% to Rs 646.72 crore in the quarter ended September 2025 as against Rs 542.88 crore during the previous quarter ended September 2024.

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Affle 3i will hold a meeting of the Board of Directors of the Company on 1 November 2025.

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Affle 3I has allotted 37,000 equity shares of face value Rs. 2 each on 25 October 2025, to Affle (India) Limited Employees? Welfare Trust under Affle (India) Limited Employee Stock Option Scheme ? 2021.

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Affle 3i has been granted another patent in the US. The company said, This grant adds to our expanding tech IP portfolio and augments the performance and effectiveness of our conversion-driven CPCU model, as we further fortify our AI-powered consumer platform stack.

The patent's subject area is ?Method and System for Hardware and Software Based User Identification for Advertisement Fraud Detection?. It introduces a smart framework for detecting digital advertisement fraud and online commerce fraud, by combining plurality of hardware and software level data to distinguish genuine human actions from bot-initiated or manipulated activity. Unlike conventional approaches that rely solely on software identifiers, this system also analyses multi-layered data in real-time through various hardware touchpoints like device sensors, biometrics and connectivity signals. The fraud detection engine builds unique device/user behavioural profiles and calculates probabilistic scores by correlating data with pre-defined baselines, cross-device mapping and digital fingerprinting techniques.

The system's real-time design employs supervised & unsupervised machine learning and intelligent algorithms to adapt to the continuously evolving fraud patterns. It also analyses data from third-party connected devices (such as IoT, smart wearables, connected TVs, etc.) which are assigned unique identities and communicate via wireless protocols. By correlating this data with sensor-based indicators such as gyroscope, accelerometer data, touch interactions and other user device signals, the system strengthens cross-device fraud detection and enables blocking of fraudulent publishers/devices in real-time. This significantly reduces cost leakages and optimises campaign efficiencies at scale across a plurality of connected devices.

This marks the 16th patent granted to Affle.

The inventors of this patent include Anuj Khanna Sohum, Charles Yong and Anurag Singh.

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