Srijan Kumar
| Srijan Kumar | |
| Occupation | Computer scientist, entrepreneur, academic |
|---|---|
| Known for | Co-founder and CEO of Lighthouz AI |
| Education | Indian Institute of Technology Kharagpur (B.Tech) University of Maryland (PhD) |
Srijan Kumar is an American-based computer scientist, entrepreneur, and academic who is the co-founder and CEO of Lighthouz AI, a back-office automation platform for freight brokerages. He is also a professor at the Georgia Institute of Technology, where his research focuses on artificial intelligence, graph machine learning, and combating online misinformation. Lighthouz AI was part of Y Combinator's Summer 2024 batch.[1]
Early life and education
Kumar earned a B.Tech from the Indian Institute of Technology Kharagpur and a PhD from the University of Maryland. His doctoral and subsequent academic work has centered on data mining, AI, and applied machine learning, with a particular focus on detecting malicious actors and dangerous content on the web.
Academic career
Kumar holds a faculty position at Georgia Tech, where he has taught over 1,000 students. His research on AI robustness, cyber harm reduction, and web integrity has been recognized by organizations including Meta Research and Forbes, which named him to its 30 Under 30 list in Science in 2022.
Lighthouz AI
Kumar co-founded Lighthouz AI, a software as a service (SaaS) company based in San Francisco that provides AI-powered back-office automation for freight brokerages. The platform automates accounts payable (AP), accounts receivable (AR), and collections processes for logistics companies. Specifically, the system ingests carrier bills in various formats, audits them against transportation management system (TMS) data, files disputes, and generates customer invoices.[2]
According to the company, Lighthouz AI achieves 70–80% no-touch automation of carrier bill processing, meaning the majority of emails and documents do not require human intervention. The company reports that brokerages using its platform invoice customers 36% faster, receive payment approximately five days sooner, and reduce back-office costs by roughly 40%. The platform handles both full truckload (FTL) and less-than-truckload (LTL) freight bill auditing.
Lighthouz AI participated in Y Combinator's Summer 2024 batch and has received backing from investors including Gaingels and Endiya Partners. The company operates in the artificial intelligence, workflow automation, logistics, and supply chain sectors and is SOC 2 Type II compliant.
References
- ↑ "Lighthouz AI – Y Combinator". 'Y Combinator}'. Retrieved 2026-03-18.
- ↑ "Lighthouz AI – Back-office AI for Freight Brokerages". 'Lighthouz AI}'. Retrieved 2026-03-18.