Voice AI for booking freight
Freight brokers waste time and margin manually calling carriers to negotiate rates and book shipments amid noisy, exception-heavy logistics workflows.
A self-improving voice AI system that runs parallel carrier calls to negotiate rates, handle compliance checks, and book loads using aggregated lane and pricing learnings.
Freight brokers and freight brokerage teams who book shipments with carriers.
Pratham studied engineering at IIT Delhi, where he contributed to ML research at Caltech and Rice. He then deployed AI systems for F500 enterprises at Booz & Co He then built a 10x faster (than SOTA) inference application for compute-heavy ML models, that was sold to an NVIDIA-backed Bay Area company. At IIT, he also led Rendezvous, Asia’s largest cultural festival, drawing 150,000 attendees with sponsors including Coca Cola, Binance, and the NBA.
Sarthak studied engineering at IIT Delhi. As an undergrad, he co-authored research on transformer-based ML models before LLMs were mainstream, with groups at University of Waterloo and Monash. He later built a 10x faster (than SOTA) inference application for compute-heavy ML models, pioneering an algorithm that was adopted by a Fortune 100 biopharma's research arm. His work on computational protein design at iGEM, an MIT research initiative, was awarded Gold amongst 3000+ teams globally.





