Pallet deploys AI agents (CoPallet) to handle repetitive logistics tasks—order entry, portal updates, quoting—at scale. The stack reveals a production-first operation: Node.js + TypeScript + React on GCP, with OpenAI and Anthropic for reasoning, Browserbase and Playwright for web automation, and PostgreSQL for state management. The hiring mix is engineering-heavy (11 roles) with equal sales investment (10 roles), suggesting simultaneous pressure to scale agent deployments and close enterprise logistics deals—and internal pain points around SDR motion and flaky integrations point to real execution friction as they move from prototype to production.
Notable leadership hires: Chief of Staff
Pallet builds AI agents designed to automate high-volume, manual back-office processes in logistics and supply chain operations. The product, CoPallet, integrates with existing customer tools and workflows, automating tasks like order entry, data updates, and quoting with human-level accuracy. Founded in 2022, Pallet is a 51–200-person company based in San Francisco. The platform targets mid-market and enterprise logistics companies seeking to reduce operational cost and human error in repetitive work. Active development focuses on production-grade agent infrastructure, scalable data pipelines, and rapid integration capabilities using low-code tools.
CoPallet is Pallet's AI agent product. It handles high-volume logistics tasks like order entry, portal updates, and quoting with human-level accuracy while integrating with existing tools and processes.
Pallet's stack includes Node.js, TypeScript, and React for application logic; OpenAI and Anthropic for AI reasoning; Browserbase and Playwright for web automation; PostgreSQL for data storage; and GCP for infrastructure.
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