Procter & Gamble is looking for new approaches and technologies that can help them to address key business challenges/opportunities. The following innovation brief(s) will provide a high-level overview of specific business goals and needs, as well as a high-level overview of what they are looking for in a solution.
Meter: Next-generation volumetric imaging for manufacturing inspection Realtime Robotics: Autonomous Motion Planning and Spatial Perception for Industrial Automation Akasha Imaging: "See it, Build it!" Perception Solutions for Manufacturing Eureka Robotics: Enabling High Accuracy – High Agility automation
P&G and AS Watson are looking for startup partnerships to build new, personalized, effortless, and cost-effective ways to enhance the overall shopper experience Online + Offline through the Guided Selling Challenge and the Social Commerce Challenge.
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.
Wise Systems: AI-driven platform to optimize fleet-wide efficiency James Agan, Product Marketing Manager, Wise Systems
DUST Identity: Linking objects to digital records to solve complex supply chain security needs Ophir Gaathon, CEO & Co-Founder, DUST Identity
Aulera: Create and Leverage Digital Identities for Physical Products Nathan Stempel, CFO & Co-founder, Aulera
Colvin Run Networks: Defense-grade assurance and analytics solutions Michael McComas, VP of Innovation, Colvin Run Networks
SourceTrace: Agri-Food digital solutions for sustainable farming and efficient, transparent and traceable supply chains Venkat Maroju, CEO, SourceTrace
Lightning Talk
P&G is seeking startups for enabling AI tech: Transforming Consumer Insights Research with IoT, audio, and privacy-preserving video and Synthetic Image and Label Data.
Xinterra pioneered the combined use of high throughput experimentation and artificial intelligence applied to materials, seeking efficient approaches to overcome slowness, high costs and overall limitation to innovation imposed by traditional materials R&D processes. Buonassisi will discuss Xinterra's combined use of high throughput experimentation and artificial intelligence applied to materals.