Cargo is a go-to-market infrastructure and orchestration platform built for the emerging discipline of GTM engineering, where technical revenue operators assemble automated workflows that connect data, AI, and action across the sales stack. Instead of relying on rigid point automations, Cargo provides building blocks, including agents, plays, tools, and data models, that teams compose into end-to-end workflows. These workflows handle the operational backbone of modern revenue motions: building account lists, scoring leads, enriching CRM records, researching prospects, routing leads, and detecting deal risk.
The platform's value lies in centralizing orchestration. GTM teams typically wire together a sprawl of enrichment vendors, data providers, scoring logic, and routing rules across disconnected tools, which is brittle and hard to maintain. Cargo serves as a control plane that integrates with more than a hundred GTM tools such as HubSpot, Salesforce, and LinkedIn, letting teams design, run, and monitor sophisticated automations in one place. It supports both no-code, UI-driven building and code-based approaches, so it can serve both operators and engineers, and it has positioned itself around the idea that orchestration beats isolated point automation.
Cargo was founded by Aurelien Aubert and Maxence de Villepion and went through Y Combinator. The platform serves thousands of GTM engineers across companies including Weights & Biases, Gorgias, and Descript, and emphasizes enterprise considerations such as SOC 2 Type II compliance. It targets revenue operations and GTM engineering teams that want a flexible orchestration layer over their existing stack.
The company raised pre-seed funding backed by Y Combinator as it built and launched its GTM infrastructure platform, and has since grown adoption among revenue teams building automated, AI-assisted go-to-market workflows.