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Pallet Tech Stack

AI agents for logistics workflows and back-office automation

Technology, Information and Internet San Francisco, CA 51–200 employees Founded 2022 Privately Held

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.

Tech Stack 20 technologies

Core StackHubSpot Salesforce Zapier Retool Make PostgreSQL Node.js TypeScript React Vercel OpenAI Anthropic RAG GraphQL Playwright Apollo LinkedIn Sales Navigator GCP Browserbase Google

What Pallet Is Building

Challenges

  • Automating manual workflows
  • Scheduling and appointment setting
  • Manual workflows slowing logistics teams
  • Broken data pipelines
  • Data entry and load management
  • Scaling sdr organization
  • Flaky integrations
  • Higher-stakes deployments
  • Automating back-office operations
  • Optimizing sdr motion

Active Projects

  • Core infrastructure platform for ai agents
  • Build the sales engineering function from scratch
  • Build quick integrations and prototypes using zapier, retool, or make
  • Backend systems for millions of users
  • Production ai agent systems for logistics companies
  • Copallet deployments
  • Efficient data pipelines
  • Scalable data pipelines
  • Ship ai workflows
  • Deploy production ai agents

Hiring Activity

Accelerating30 roles · 15 in 30d

Department

Engineering
11
Sales
10
Marketing
3
Product
2
HR
1

Seniority

Senior
16
Mid
8
Lead
3

Notable leadership hires: Chief of Staff

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About Pallet

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.

HeadquartersSan Francisco, CA
Company Size51–200 employees
Founded2022
Hiring MarketsUnited States

Frequently Asked Questions

What is Pallet's AI agent called?

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.

What tech does Pallet use to build AI agents?

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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