Computer vision towers that digitize freight at warehouse loading docks
Kargo builds edge hardware and software that capture shipment data at loading docks via computer vision. The stack pairs C++, Python, Kafka and LTE with SolidWorks PDM and WireGuard/Tailscale, showing a company managing a networked fleet of physical devices, not just SaaS. Projects around zero-touch provisioning and AI agents for browser automation point to scaling deployments while automating integrations with client systems.
Kargo, founded in 2019 and headquartered in San Francisco, develops a machine vision system for shipping and receiving operations. Its Towers sit at loading docks, reading labels and marks as forklifts move freight and flagging discrepancies on the spot. Captured data flows into the Kargo Platform and connects to customer ERP, WMS, TMS and YMS systems. The company serves logistics and warehouse operators and employs 51–200 people, with hiring focused in the United States.
Kargo uses Python, C++, TypeScript and JavaScript, with Kafka on AWS and GCP, LTE connectivity, WireGuard and Tailscale networking, SolidWorks PDM for hardware design, Playwright and Selenium, plus HubSpot and Jira.
Kargo is working on zero-touch provisioning and secure identity for edge hardware, streamlining Tower shipping and installation, AI agents for web automation, and account-based marketing programs.
Kargo is headquartered in San Francisco, California, and currently hires in the United States across engineering, marketing, sales, security and operations.
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Kargo's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
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