Looking for 10 Startups to present during Startup Lighting Talks and participate at the lunch Exhibit on April 4, 2023 at the 2023 MIT Health Science Technology Conference.
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.
Looking for 8-10 startups to participate on April 10 in Lightning Talks and Lunch Exhibit at the 2024 MIT Health Science Technology Conference.
Better Data, Better Forests Matt Carpenter Head of Product, Gaia AI
P&G Grooming is interested in exploring partners and strategies that can help them grow their first party data in a meaningful way and significantly increase the number of consumers in their database.
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.