MUMBAI, India, Aug. 10 -- Intellectual Property India has published a patent application (202641089092 A) filed by Jeppiaar Institute Of Technologyjit on July 22, 2026, for Novel System, Design And Methof Of An Ai Based Startup Success Prediction Engine Using Multi- Dimensi.
Inventors include C. Bakkia Lakshmi; Anselm M; Gnana Nivetha A J; Jijo Chondrate J; Nebish Mas N; Shalini R Y; Thatheyus Vignesh T; and Kathiravan S.
The application for the patent was published on July 31, 2026, under issue no. 31/2026.
Abstract: 6. ABSTRACT OF THE INVENTION The patent disclosure covers Novel System, Design and Method of An Al Based Startup Success Prediction Engine Using Multi-Dimensional Business Intelligence And Explainable Machine Learning Framework. For entrepreneurs, investors, incubators, and financial institutions, startup failures continue to be one of the biggest obstacles. Investment decisions made using current startup evaluation methods are uneven and subjective because they mostly rely on expert judgment, past financial records, or restricted performance indicators. The proposed innovation provides an Artificial Intelligence-Based Startup Success Prediction Engine that blends structured and unstructured business data into a unified intelligent decision-support platform. The innovation estimates the likelihood of startup success before to investment or business development using sophisticated machine learning algorithms, explainable artificial intelligence (XAI), natural language processing, predictive analytics, and dynamic business scoring approaches. The engine examines numerous factors, including founder competency, financial capabilities, innovation level, market attractiveness, customer traction, competitive intensity, regulatory compliance, digital presence, operational readiness, and macroeconomic conditions. Startup Success Index (SSI), Investment Risk Score (IRS), Growth Potential Score (GPS), and Sustainability Index (SI) are all produced by a proprietary hybrid scoring algorithm. Unlike previous methods, the proposed invention continuously improves forecast accuracy through adaptive learning using real- time market information and organizational success metrics. For entrepreneurs, investors, banks, venture capital firms, incubators, accelerators, and government agencies, the innovation offers advice that are easy to understand. The suggested system greatly raises the quality of investment decisions, reduces company risk, increases startup survival rates, and fosters the growth of data-driven entrepreneurial ecosystems
Disclaimer: Curated by HT Syndication.
