Pallet builds an AI-powered logistics automation platform that integrates with existing Transportation Management Systems and Warehouse Management Systems to eliminate manual workflows. Rather than requiring wholesale system replacement, the platform deploys alongside incumbent infrastructure, automating paperwork processing, order entry, portal updates, and quoting through a CoPilot AI workforce that learns from natural language instructions and improves continuously through human feedback.
The company has achieved 700% revenue growth in under two years and secured $50M in funding from General Catalyst, Bessemer Venture Partners, and Bain Capital Ventures. Its customer base includes major logistics operators such as Knight Swift and US Pack, with over 70 live deployments across the $12 trillion logistics industry. The platform delivers measurable improvements in accuracy, throughput, and cycle time while reducing manual data entry and operational errors.
Pallet's technical capabilities span AI agent development, natural language understanding, optical character recognition including handwriting extraction, document data extraction, and sophisticated systems integration. The architecture emphasises human-in-the-loop learning, enabling logistics teams to refine AI behaviour for edge cases and idiosyncratic processes without requiring deep technical expertise or system overhauls.