MUMBAI, India, July 30 -- Intellectual Property India has published a patent application (202641088992 A) filed by Mr. Suprith Muninarayanaswamy on July 21, 2026, for Generative Ai-Based Business Plan Creation And Investment Readiness Evaluation Platform.
Inventor includes Mr. Suprith Muninarayanaswamy.
The application for the patent was published on July 24, 2026, under issue no. 30/2026.
Abstract: ABSTRACT Generative AI-Based Business Plan Creation and Investment Readiness Evaluation Platform The present invention relates to a **Generative AI-Based Business Plan Creation and Investment Readiness Evaluation Platform** that automates the preparation, optimization, and assessment of business plans while providing intelligent investment readiness analysis for startups, entrepreneurs, small and medium enterprises (SMEs), incubators, accelerators, and investors. The platform integrates generative artificial intelligence, large language models, machine learning, predictive analytics, natural language processing, financial modeling, and multi-agent decision intelligence to transform user-provided business ideas into comprehensive, investor-ready business plans. The system automatically generates essential business plan components, including executive summaries, market analysis, competitive landscape, customer segmentation, value proposition, business model, operational strategy, marketing plan, financial projections, risk assessment, sustainability strategy, and funding requirements. A multi-agent AI architecture enables specialized agents to perform market research, financial forecasting, regulatory compliance verification, SWOT analysis, competitor benchmarking, and investment scoring while collaboratively refining the generated content based on industry-specific knowledge and historical investment trends. The platform further incorporates an Investment Readiness Evaluation Engine that analyzes business viability, scalability, innovation potential, financial health, operational maturity, environmental, social, and governance (ESG) compliance, and investor attractiveness to generate a quantitative investment readiness score with actionable recommendations for improvement. The framework continuously learns from successful funding cases, venture capital preferences, startup performance metrics, and market dynamics to enhance the quality and relevance of generated business plans over time. Seamless integration with cloud computing platforms, startup ecosystems, financial databases, and business intelligence tools enables real-time market insights and adaptive financial forecasting. Explainable AI modules provide transparent reasoning behind generated recommendations and investment scores, enabling entrepreneurs to understand strengths, weaknesses, and improvement opportunities. Experimental implementation demonstrates significant improvements in business plan quality, preparation speed, investment readiness assessment accuracy, and funding success potential compared with conventional manual business planning approaches, thereby providing a scalable, intelligent, and autonomous platform for accelerating entrepreneurial innovation and investment decision-making.
Disclaimer: Curated by HT Syndication.
