GTM Infrastructure for AI Agents | Cargo

Description

Cargo is a comprehensive GTM infrastructure designed for AI agents, providing a robust foundation for data models, tools, and plays. It enables teams to build and deploy applications using the app, API, CLI, or platforms like Claude and Cursor. Cargo offers a unified data model, maintained connectors, and hosted execution with retries, ensuring seamless integration and efficient operation. The platform supports a system of record built for scale, allowing users to store, sync, and unify GTM data from various sources into a single record per entity. With maintained connectors to CRM, enrichment, sequencing, and warehouse systems, Cargo facilitates plays that run on every changed record, complete with retries and tracing.

Cargo's workspace as code feature allows users to plan and deploy from a TypeScript project, offering flexibility and control over the development process. The platform's REST API, CLI, and agent skills operate over the same primitives, providing a consistent experience across different development paths. Cargo is SOC 2 Type II certified, ensuring security with SSO, role-based access, data residency, audit logs, and GDPR documentation.

Cargo's pricing model is transparent, with no hidden fees or feature gating. Users can start with 100 free credits and scale up as needed, with plans offering up to 50K+ credits. The platform includes AI agents, workflows, and over 100 integrations, making it a versatile solution for various GTM needs. Cargo's integrations include popular platforms like Salesforce, HubSpot, and Slack, enhancing its utility for businesses looking to streamline their operations.

Overall, Cargo provides a reliable and scalable GTM infrastructure for AI agents, enabling businesses to optimize their processes and improve efficiency.

GTM Infrastructure for AI Agents's Core Features

• Unified data model

• Maintained connectors

• Hosted execution with retries

• Traceability of every run

• System of record for GTM data

• Workspace as code

• SOC 2 Type II certification

• 100+ integrations

How to use GTM Infrastructure for AI Agents?

1. 1

   Configure: Set up data models and connectors

2. 2

   Deploy: Use TypeScript or CLI for deployment

3. 3

   Use: Execute plays and monitor performance

4. 4

   Optimize: Adjust configurations for efficiency

GTM Infrastructure for AI Agents's Use Cases

• Lead Enrichment
• CRM Synchronization
• Workflow Automation
• Data Unification
• Security Compliance

FAQ from GTM Infrastructure for AI Agents

• What is Cargo's primary function?

  Cargo provides GTM infrastructure for AI agents, offering data models, tools, and plays for seamless integration.

• How can I build on Cargo?

  You can build using the app, API, CLI, or platforms like Claude and Cursor, utilizing the same primitives.

• Is Cargo secure?

  Yes, Cargo is SOC 2 Type II certified, with SSO, role-based access, and GDPR documentation.

• What are Cargo's pricing options?

  Cargo offers a transparent pricing model with plans ranging from 100 to 50K+ credits, starting at $0/mo.

• What integrations does Cargo support?

  Cargo supports over 100 integrations, including Salesforce, HubSpot, and Slack.

• Can I change my Cargo plan anytime?

  Yes, you can upgrade or downgrade your plan at any time, with changes taking effect immediately or at the next billing cycle.

• What happens if I run out of credits?

  You can upgrade your plan or purchase additional credits. Existing workflows pause until more credits are added.

• Does Cargo offer a free trial?

  Yes, new accounts start with 100 free credits and no card is required.