Assessli Launches India's First Large Behavioural Model for Enhanced AI Applications
Bengaluru-based startup Assessli has launched India's first Large Behavioural Model (LBM), designed to enhance AI applications by processing over 1 trillion behavioural data points with 99.6% personalisation accuracy. Founded by Suraj Biswas, Aruna Dey, and Saurabh Gupta, the model supports various sectors, including personalised medicine and robotics, and will be featured in Assessli's upcoming consumer brand Dots-In. The company is also in talks with a major smartphone manufacturer to integrate LBM, potentially expanding its reach to hundreds of millions of users.
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Bengaluru-based startup Assessli has introduced the Large Behavioural Model (LBM), a foundational AI infrastructure aimed at understanding human behaviour, surpassing traditional AI models that focus on language and past actions. Founded by Suraj Biswas, Aruna Dey, and Saurabh Gupta, Assessli's LBM processes over 1 trillion behavioural data points and achieves 99.6% personalisation accuracy.
This model supports various applications, including personalised medicine and robotics. Assessli plans to launch its consumer brand Dots-In, a proof-of-concept for LBM, in the coming months. The company is also negotiating with a leading smartphone manufacturer to integrate LBM, potentially reaching hundreds of millions of users. LBM is positioned as a horizontal AI layer, providing a unified infrastructure for human understanding across multiple platforms.
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