MAGIC launches AIMM 2026, offers Rs 7 lakh in prizes for AI innovations
Got an AI idea? MAGIC has opened applications for AIMM 2026, offering startups, MSMEs, students and researchers a chance to win Rs 7 lakh, with potential seed funding and incubation support.
Artificial intelligence (AI) is increasingly being applied in various industries, yet transforming a concept into a viable solution for businesses and communities involves more than just technology. It necessitates testing, development, and access to appropriate support. To address this challenge, the Marathwada Accelerator for Growth and Incubation Council (MAGIC) is launching the eighth edition of its national innovation competition, AIMM 2026, with a focus on Artificial Intelligence for Manufacturing and Mankind.
This competition encourages the development of AI-based solutions to address real-world issues in manufacturing, industry, and society. AIMM 2026 invites startups, aspiring entrepreneurs, micro, small, and medium enterprises (MSMEs), students, and research teams to participate. The application deadline is December 7, 2026. The competition features two stages for AI innovations: the first is for innovations at the minimum viable product (MVP) stage, encompassing concepts and proof-of-concept projects, while the second is for products already available in the market and generating revenue.
This structure allows for the participation of both early-stage innovators and businesses with market-ready solutions. The competition not only seeks novel ideas but also aims to promote the development of marketable products. Winners will have access to funding and incubation support from MAGIC, facilitating the transition of their ideas into commercial products and exploring opportunities for market expansion.
AIMM 2026 seeks to promote the adoption of AI across industries and provide technology-driven solutions to tackle practical challenges. By bringing together startups, businesses, students, and research teams on a single platform, MAGIC aims to facilitate the presentation of work to a broader ecosystem, fostering connections between AI innovation and the practical problems they aim to solve in manufacturing, industry, and society.
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