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.
Austin Che Founder, Ginkgo Bioworks
Leading critical environment air quality management company looks for startups in two applications to address market needs resulting from COVID-19.
1. Airborne particulate matter counting and identification
2. New Air Disinfection and Monitoring Technology
P&G is looking startups to partner and/or develop novel ways to map communities with common, relevant interests and then use technology to deliver targeted content/solutions.
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.
Join MIT Horizon for the 'Gesture-Based Human-Machine Interaction' webinar, presented by Faye Wu of Manus Robotics.
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.