2019 IoT - Startup Exchange - Rebecca Xiong
The annual MIT Startup Ecosystem Conference features 25 of the most promising startups from across MIT. These startups are all part of STEX25, an accelerator run by MIT Startup Exchange, an integrated program of MIT Corporate Relations.
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.
Better Data, Better Forests Matt Carpenter Head of Product, Gaia AI
MIT Startup Exchange March 2026 Demo Day
March 18, 2026
Virtual Event
Senior executives from TOTAL will be visiting MIT from Oct 8-10 for the purpose of exploring potential partnerships with MIT startups. The goal of October’s visit is to meet experts that can help to find the best way to enhance Data Management (DM) practices throughout TOTAL entities. Data must be managed effectively and valued to maximize its business impact. Attendees from TOTAL include Michel Lutz, Group Data Officer, and Gaile Lejay, Business analyst.
Join MIT Startup Exchange to hear from MIT-connected startups who are focusing efforts on aspects of COVID-19.
Nexa is seeking innovative solutions that allow consolidating data on the pandemic, generating information on prevention and care actions, allocating resources more efficiently and using geolocation to support faster and better decision-making in fighting the pandemic.