Are you seeking industry collaborations to launch or scale your technology in the water and sanitation space? Join us for a virtual reverse pitch session with Aegea, Brazil’s largest private water and sanitation utility, and gain direct access to business unit leaders actively scouting for tech base solutions. Register by December 4.
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.
Adaviv provides a cultivation productivity tool to growers of high-value crops and enables them to de-risk while improving, top and bottom lines via increased yield and quality, while also gaining labor and resource savings. The crop care software operates in greenhouses and indoor farms, providing early alerts of pests, diseases and stress and tracks plant growth for continual cultivation improvement over every crop cycle.
2019 IoT - Startup Lightning Talks
The 2026 MIT Enterprise AI Forum will spotlight cutting‑edge Enterprise AI strategies, practical frameworks, and breakthrough applications across mission‑critical domains such as real-time digital twins, automated defect detection, and intelligent product lifecycle management.
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.