Truckload Planning at Machine Precision
Maximal is building autonomous systems to plan and move the world's freight. Our first product is a context-aware algorithmic load planning platform for full truckload (FTL) carriers. Our agents plug into a carrier's existing ERPs and communication channels, using that context to generate holistically optimized load plans. The result: carriers earn more revenue-per-mile while spending less time planning. Our founding team * grew up in 3PLs and trucking companies * studied the math behind transportation science at Cornell, Columbia, and USC * developed the technology that optimizes Amazon's distribution and fulfillment center network
Founder
Building Palace. Previously tech lead at Amazon, founding eng at Arpeggi Labs (a16z), National Merit Scholar at USC.
Founder
Building Maximal - the optimization layer for commercial ground freight Career across logistics, fintech, devtools, massive-scale data platforms. Studied CS + Operations Research at Cornell, Columbia. Math, history of technology, philosophy of mind/ethics. Grew up in family's 3PL business, PM for Stuffstr (last-mile delivery in UK), optimized throughput as an engineer for Amazon's BOS3 DC under Kiva Robotics.
