MUMBAI, India, July 24 -- Intellectual Property India has published a patent application (202641084881 A) filed by Pruthvi Ms; Klef Deemed To Be A University; and Cherukuru Shailusha on July 10, 2026, for An Integrated System For Multi-Source Diagnostic Assessment Of Entrepreneurial Leadership And Prediction Of Enterprise Performance.
Inventors include Cherukuru Shailusha; Dr. D. Prasanna Kumar; and Pruthvi M. S.
The application for the patent was published on July 17, 2026, under issue no. 29/2026.
Abstract: ABSTRACT An Integrated System for Multi-Source Diagnostic Assessment of Entrepreneurial Leadership and Prediction of Enterprise Performance The present invention provides an integrated, hardware-anchored system and method that captures heterogeneous multi-source data relating to a micro, small or medium enterprise, fuses and normalises that data within a single processing pipeline, and computes, by means of one or more trained machine-learning models, a prediction of enterprise performance together with automatically triggered targeted interventions, localised to the Indian context. To overcome the technical difficulty of processing temporally and structurally disparate data streams, the system integrates a multi-modal data-capture unit, a preprocessing and normalisation engine, an artificial-intelligence analytics engine, a predictive scoring and risk module, a closed-loop recommendation and intervention engine, and an India-localised cloud and mobile deployment layer. A preprocessing and normalisation engine reconciles subjective ordinal leadership-dimension inputs, categorical and numeric firm-structural variables, and continuously updates financial and operational time series into a compact, unified representation. An analytics engine orchestrates a plurality of trained models on that representation in a staged and selective manner, reducing processing load and latency on constrained devices, and produces a prediction with confidence and risk flags. A recommendation and intervention engine automatically triggers device-rendered outputs and re-ingests realised outcomes for re-training, forming a continuous feedback architecture. A localisation layer provides multilingual, accessible, multi-device and low-bandwidth delivery suited to India, together with connector hardware for ingesting enterprise data, and scalable cloud deployment supports continuous updates and wide reach. The result is an integrated technical solution that reconciles disparate data streams into a single real-time pipeline, efficiently predicts enterprise performance, and automatically triggers targeted interventions, making enterprise diagnostics accessible across India. The novelty and inventive step reside in the technical implementation and not in any business method or empirical finding.
Disclaimer: Curated by HT Syndication.
