THK, a global leader in manufacturing, is seeking startups to solve several manufacturing challenges to improve quality, cost and throughput of our products.
Defond is looking for new solutions that can help them to optimize power-consumption in manufacturing for environmental protection objective.
Global Bank looking to MIT to help drive its digital journey for Risk & Controls framework, both at pace and at scale, with automated end-to-end processes and underlying key controls, positioning the bank as an industry leader in this space.
P&G is looking for partners and solutions that can help improve their premix production process, specifically resolving clogging/caking issues during the industrial process of powder dumping.
Autonomous systems such as robots, drones, and autonomous vehicles are increasingly becoming a common element of human society. However, how to make autonomous systems more intelligent, more efficient, safer, and better aligned with human values remains to be a big challenge. The MIT Schwarzman College of Computing invests in new artificial intelligence, data science, and computer science research to advance the state of the art in autonomous systems. The 2023 MIT AI and Autonomy Conference will showcase the most recent developments in areas including networked robotics, human level perception, reinforcement learning, and computational cognitive science. Presented by the MIT Schwarzman College of Computing and the MIT Industrial Liaison Program, you will hear insights from MIT faculty, MIT Startup Exchange entrepreneurs, and industry executives from presentations, lightning talks, exhibitions, and a panel discussion.
Faurecia FCM Liquid Hydrogen & Fuel Cell Team seeks startup with solutions to make possible liquid hydrogen storage for mobile application.
P&G is looking for new approaches and technologies that can help them to address key business challenges/opportunities.
Activate Customer Data with Decision Intelligence Abhi Yadav, Co-Founder & CEO, iCustomer iCustomer: https://www.icustomer.ai/
GTM teams are overwhelmed by fragmented data across platforms, leading to ineffective targeting, false signals loop, wasted time, and frustrated buyers and sellers. This chaos results in high acquisition costs, bad retention and missed opportunities.
iCustomer's agentic AI platform unifies first-party and third-party customer data to deliver actionable intelligence. The system automates decision-making and orchestrates optimized GTM plays, enabling teams to execute with precision and efficiency.
Our Identity Resolution Engine creates immutable IDs mapped to hundreds of external data sources, while our Decision Intelligence Layer activates optimal GTM plays powered by AI Agents. The platform continuously optimizes CAC, LTV, and Ad ROI through machine learning and real-time market signals.
MIT Horizon is hosting a webinar, "Critical Metal Refining, Simplified," presented by Megan O'Connor, co-founder of Nth Cycle.