Cargo

Cargo is a comprehensive revenue infrastructure platform designed for modern go-to-market (GTM) teams. It provides a unified system to build, automate, and scale revenue operations without requiring proportional increases in headcount. The core value proposition lies in its modular architecture, which allows teams to construct sophisticated, data-driven workflows that directly impact sales, marketing, and customer success outcomes. By centralizing key processes, Cargo enables organizations to move faster, reduce operational friction, and drive predictable revenue growth.

Key features: The platform is built on four foundational components: Agents, Tools, Plays, and Data models. Agents are automated workflows that can execute complex sequences of tasks across different systems. Tools are the individual integrations and actions, such as updating a CRM record or sending a Slack message. Plays are pre-built or customizable templates for common revenue scenarios, like lead qualification or account renewal campaigns. Data models ensure all actions are informed by a unified view of customer and prospect information. Users can build these workflows directly within the Cargo application, via its API for custom development, through a CLI for developer-centric operations, or even within popular AI-assisted coding environments like Claude and Cursor.

What makes Cargo unique is its deep focus on being an infrastructure layer rather than just another point solution. It is designed to connect and orchestrate a company's entire existing tech stack, acting as the central nervous system for revenue operations. This approach provides significant flexibility and avoids vendor lock-in. Technically, it emphasizes a low-code/no-code experience within the app while offering full programmability through its API, catering to both operations specialists and engineers. Its native integrations with AI coding tools highlight its developer-friendly ethos and commitment to staying at the forefront of workflow automation.

Ideal for revenue operations teams, sales engineers, and growth marketers in technology companies, particularly those with complex sales cycles or a product-led growth motion. Specific use cases include automating multi-touch lead nurturing sequences, orchestrating cross-functional handoffs between sales and customer success, managing tiered customer onboarding programs, and executing data-driven account-based marketing plays. It is especially valuable for SaaS companies and tech startups looking to scale their GTM efficiency systematically.

While a free tier is available to get started, scaling sophisticated, high-volume automation typically requires a paid plan. The pricing is usage-based, scaling with the number of active workflows, data operations, and connected seats, making it adaptable from early-stage startups to large enterprises.