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.
A Complete Cybersecurity Solution for Smart Cities Andrew Surwilo CEO & Co-Founder, Cytex
Cytex is a leading innovator in AI-driven full spectrum cybersecurity platform designed to protect organizations' data and assets. The patented Cytex Unified Resilience Platform provides network security, cloud security, application security, and compliance management, in a single solution. Notably, the Cytex Audify Compliance Verification Platform enables real-time, continuous compliance monitoring across various regulatory frameworks eliminating the reliance on traditional unreliable point-in-time assessments. Additionally, Cytex demonstrates a strong commitment to cybersecurity education by providing free phishing simulation software to businesses, non-profits, and municipalities, aiming to enhance organizational resilience against cyber threats.
Speaker's name: Alberto Cuellar, Co-Founder Title: One-stop shop platform to facilitate home enhancement services for low- and mid-income Latin Americans Company: Tervi
Demo Day, March 2023
The Bristol Myers Squibb 2021 Golden Ticket Contest is a competition for the award of two Golden Tickets, which covers the cost of one 6-ft lab bench and one resident scientist fee for one year for a promising life science start-up.
Nan-Wei Gong, Cofounder & CEO, figur8
THK, a global leader in manufacturing, is seeking startups to solve several manufacturing challenges to improve quality, cost and throughput of our products.
A leading pharmaceutical company in Amyotrophic Lateral Sclerosis (ALS) is interested in speaking with startups whose technology could contribute to very early diagnosis of the disease.