Exo AI
AI to accelerate real estate transactions
Building on years of research between Stanford and MIT at the intersection of AI and computational physical world domain modeling, Exo AI has developed proprietary autonomous models and agentic architecture that can accurately capture physical world constraints in mission-critical sectors. Exo has been piloting these models with energy companies and financial institutions who seek highly reliable AI to automate their operations, with a view to scale to other use cases very quickly.
The founding team has years of experience in computational modeling and applied AI. Olamide graduated from MIT with dual master’s degrees in Electrical Engineering and Computer Science. As a researcher at MIT Energy Initiative, he received the Clean Energy Prize for developing AI models to inform electrification planning for increased power access in developing countries. A Forbes 30 Under 30 recipient and Federal Government of Nigeria scholar, Olamide is currently pursuing a PhD in Management Science & Engineering at Stanford under the Knight-Hennessy fellowship.
