Cargo
Cargo is an AI revenue orchestration platform designed for GTM teams to automate workflows using multi-agent systems.
It features specialized AI agents including the Research Agent for contact enrichment and account research, the Qualification Agent for lead scoring and tiering, the SDR Agent for generating copy and multi-channel engagement, and the Custom Agent for task automation and tool connections. Workflows follow a structured process: extract leads from channels like CRMs or intent alerts, enrich with data from 30+ providers, qualify based on fit and intent, and engage via personalized emails, SMS, or tasks. The platform supports over 100 integrations with tools such as HubSpot, Salesforce, Apollo.io, Outreach, GitHub, Slack, and G2.
Pricing operates on a credit-based model at $0.14 per credit, with plans scaling from 20K to over 1.5M credits, including unlimited workflows, community tools, and access management across all tiers. A free trial provides 100 credits without requiring a credit card. Compared to competitors, Cargo’s flexible usage-based approach differs from fixed subscriptions in tools like Workato or Outreach, potentially offering cost efficiency for variable volumes.
Users report strengths in real-time insights and scalability without added headcount, though some note setup complexity and integration dependencies. Competitors include Persana AI for outbound focus, Unify GTM for pipeline automation, and Clay for data enrichment, each matching Cargo in aspects like agent-based automation but varying in customization depth.
To implement effectively, begin with the trial to configure a single workflow, monitor credit consumption, and integrate with one or two existing tools before expanding.
Video Overview ▶️
What are the key features? ⭐
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- AI Research Agent: Automatically gathers and verifies lead data for real-time insights.
- AI Qualification Agent: Scores and categorizes leads to prioritize promising prospects.
- AI SDR Agent: Automates personalized outreach across multiple channels.
- AI Custom Agent: Builds tailored agents to automate repetitive GTM tasks.
- Integrations: Connects with over 100 tools for seamless data flow. ```
Who is it for? 🤔
Examples of what you can use it for 💭
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- GTM Engineer: Builds multi-agent workflows to extract leads from CRMs and enrich them with premium data providers.
- Sales Manager: Uses qualification agents to score and prioritize leads based on intent and fit in real time.
- Marketing Specialist: Deploys SDR agents for personalized multi-channel outreach to engage prospects at scale.
- Revenue Ops Analyst: Creates custom agents to automate repetitive tasks across the GTM stack.
- Business Development Rep: Triggers tailored emails and tasks for high-value opportunities post-qualification. ```
Pros & Cons ⚖️
- ```
- Scales teams efficiently
- Real-time insights
- Flexible integrations
- Customizable agents ```
- ```
- Setup complexity
- Credit costs add up ```
