The MIT Startup Exchange team is seeking startups to present at the Startup Lightning talks of MIT’s Leading Edge Webinar - Computationally-Assisted Materials Discovery, taking place on Thursday, April 10, 2025, from 10:00 AM to 12:00 PM ET (hyperlink). We are looking for 5 startups working on machine learning, AI, computational data science, advanced materials, nanotechnology, quantum materials & computing, and semiconductors to present at the webinar.
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.
P&G is looking for partners and solutions that can assist them to optimize their supply chain by improving their back-office operations and order-to-cash cycle through touchless order acquisition solutions. Additionally, P&G would like to understand existing best practices in the e-Commerce industry to improve their own existing processes. P&G is specifically looking for partners and solutions that are able to execute pilots in the Asia, Middle East & Africa region.
The Dubai Police is offering a partnership opportunity for the Smart City Naif project in Dubai. This concept revolves around the deployment of stable sensor networks for pedestrian movement detection, a comprehensive multimodal traffic overview system (car, pedestrian, bike), real-time incident detection, and Al based automated patrol alerts. Additionally, a physical and digital augmented 3D model will provide an interactive platform for decision-making at Naif police station.
Imagining a World Without Ads. Reinventing Brand Building with P&G in Latin America.
Proctor & Gamble is seeking a technology solution to manage the e2e Creative Content Supply chain.
P&G is looking for startups to build new, cost-effective, data-based pipelines to reach the store owners and expand P&G exposure to them, and therefore P&G’s sales and assortment.