T-Hub launches MATH: Pioneers Harnessing the Power of AI to Amplify Innovation & Excellence


MATH: Innovation Accelerator for AI Startups

MATH, an innovative gateway for learning, backed by the Govt. of India -Department of Science & Technology (DST) and supported by T-Hub, is the epicenter of innovation, connecting startups, corporates, academia, investors, and governments. MATH's objective, get us potential ideas, and we will get you potential investors & customers. It is a non-profit organization focused on refining, re-skilling, and remarkably assisting entrepreneurs and startups.

MATH provides a low code platform to give shape to ideas about AI products and delivers computing services. The main aim is to assure guidance, support, and resources that are easily not accessible to young entrepreneurs and startups while building AI platforms. To be precise, with 200 mentors, 20+ investors, 100 value partners, and 90+ innovation partners, MATH (Machine Learning and Artificial Intelligence Technology Hub) makes things affordable, accessible, and acceptable for 2000+ AI startups and onboard 65 AI startups.

A new launch of LMS (Learning Management System) is an advanced center for skilling, up-skilling, and re-skilling. MATH offers programs at two levels that is entry-level and experience level, where entry-level is all about foundation courses to spread awareness among students through short-term certificate courses and experience-level is for corporate employees to up-skilling their knowledge.

AI is the buzzword in driving economic growth and development, and T-Hub & MATH are the drivers for the evolution and revolution of the AI world. Undoubtedly, AIML will be pioneering for center of excellence in innovation leading to a better future. Looking at the wide scope and high-end possibilities, AI is bound to evolve, elevate, and expand the efficiency of every sector. Thus, R&D is the focal point of MATH where they connect budding minds and startups to researchers and academicians for more refined skills, knowledge, problem statements, data points, and more.