Join Date
July 2025
Gender
Not Specified
Age
Not Specified
About Srijan Kumar
I'm an award-winning AI professor-turned-entrepreneur. Over the last 14 years, my AI systems have been used at Meta, Wikipedia, The Home Depot, and Flipkart. I have been a Georgia Tech professor and worked at Google, Stanford, CMU, and UMD, and IIT. I pioneered dynamic graph neural nets. I have written 60+ AI publications w 6000+ citations. Awards won: NSF CAREER, Forbes 30u30, Kavli Fellow.
I'm building AI agents to do AP and AR in logistics, powered by dynamic knowledge graphs.
I'm building AI agents to do AP and AR in logistics, powered by dynamic knowledge graphs.
Companies & Work
Lighthouz AI
Lighthouz is a backoffice AI solution for freight brokers, to automate AP, AR, and Collections.
Leading freight brokers are using Lighthouz AI to automate FTL (full truckload) and LTL (less than truckload) freight bill auditing, automatically filing disputes, and invoicing customers.
With Lighthouz, 70%-85% emails do not need to be touched by humans.
Hence, brokers using Lighthouz are invoicing customers 36% faster, getting paid 5 days sooner, and reducing back office costs by 40%.
Lighthouz brings 25+ years of supply chain, logistics, and AI experience to brokers, with a AI Professor from Georgia Tech who taught 1000+ students, and team with PhD and MS in AI, Machine Learning, and Data Science.
Leading freight brokers are using Lighthouz AI to automate FTL (full truckload) and LTL (less than truckload) freight bill auditing, automatically filing disputes, and invoicing customers.
With Lighthouz, 70%-85% emails do not need to be touched by humans.
Hence, brokers using Lighthouz are invoicing customers 36% faster, getting paid 5 days sooner, and reducing back office costs by 40%.
Lighthouz brings 25+ years of supply chain, logistics, and AI experience to brokers, with a AI Professor from Georgia Tech who taught 1000+ students, and team with PhD and MS in AI, Machine Learning, and Data Science.
