Cargo

Cargo logo, A warehouse-native GTM orchestration platform where plays, AI agents and data models are defined in TypeScript

Cargo

Cargo

A warehouse-native GTM orchestration platform where plays, AI agents and data models are defined in TypeScript and deployed like infrastructure rather than clicked together.

What is

Cargo

Cargo is built for the person who would otherwise be writing the glue code themselves, and it does very little for a two-person sales team. It reads from your warehouse and your CRM, runs enrichment waterfalls, scoring and routing against that data, then pushes the result out to senders, Slack and reps. Plays are always-on workflows that fire the moment a row changes, Agents are LLM workers that reason toward a goal using whatever tools you hand them, and Data Models are the tables sitting underneath both. You get a managed BigQuery instance by default, or you connect your own Snowflake, BigQuery, Redshift or Postgres. What separates Cargo from the table-first tools is the CDK. Models, plays and agents are defined in TypeScript, and the CLI runs a plan to show you the diff before a deploy applies it, so GTM logic sits in version control. Around 150 integrations cover Salesforce, HubSpot, Outreach, Instantly, Smartlead and the usual enrichment vendors. We would pilot Cargo against Clay plus n8n at any team that already has a warehouse and someone who writes code, and we would skip it everywhere else. Nebor has not deployed it for a client. The trade you are accepting is that one vendor holds your models, your plays and your agents at once.

Integrations and the modern GTM stack

Cargo's integrations work differently from most tools in this category because the warehouse sits underneath everything else. Connectors load into data models, plays and agents read those models, and the outbound connectors push the result back into whatever your reps and senders already use.

Snowflake, BigQuery, Redshift and Postgres

The foundation. Cargo hosts data models on a warehouse and gives you a managed BigQuery instance by default, or you point it at your own so the warehouse stays the system of record and Cargo queries it rather than holding a second copy.

Salesforce and HubSpot

Bi-directional, and the reason most buyers look at Cargo in the first place. Records sync into unified Account and Contact models, plays write enriched fields and owners back, and Descript's setup only lets fully enriched product-qualified accounts through into Salesforce at all.

Enrichment providers

Apollo, ZoomInfo, Clearbit, Hunter, People Data Labs, RocketReach, ZeroBounce and Scrubby among roughly fifteen built in, arranged into waterfalls. That list is smaller than Clay's, so a niche provider may need the freeform HTTP step instead of a native block.

Outreach, Salesloft, Lemlist, Instantly and Smartlead

Cargo has no sequence builder of its own, so the SDR agent hands finished contacts and copy to whichever sender you already run. That keeps your deliverability setup where it is and keeps Cargo out of the inbox business.

Slack, Microsoft Teams, Intercom and Customer.io

The alerting and lifecycle end of a play. A scoring or deal-risk play can drop the account into a rep's Slack channel with the reasoning attached, which is usually how these workflows get adopted by people who never open Cargo.

OpenAI, Anthropic, Gemini and DeepSeek

Model calls are integrations like any other and bill through the same credit meter. Agents built with defineAgent pick a model and a tool set, so you can run cheaper models on classification steps and keep the expensive ones for research.

The CDK and CLI

The integration that matters most for an engineering team. Models, tools, plays and agents are TypeScript files, cargo-ai plan shows the diff offline, deploy updates only what changed, and state is recorded in cargo.state.json so the whole workspace is reviewable in a pull request.

What is missing

No native sequencing, no first-class Zapier or n8n app in the connector list, and no public review corpus to sanity-check any of it against. Anything unusual runs through the freeform HTTP integration or the CDK, which is fine with an engineer and painful without one.

Pro’s

  • Your records stay in your warehouse and Cargo queries them in place, so the account table your data team already maintains is the same one your routing rules read.

  • Plays fire on row changes rather than on a schedule, so a job change or a product signal moves through enrichment, scoring and routing in one pass.

  • The CDK puts models, plays and agents in TypeScript under version control, and that is the piece every click-together GTM tool is missing when you need a review or a rollback.

  • There is no feature gating between tiers, so a $165 account gets the same agents, integrations and territory management as a $3,000 one and simply buys fewer credits.

  • Tables have no row ceiling, so you can run enrichment across a full CRM of several hundred thousand records instead of slicing it into batches that fit a spreadsheet tool.

  • Descript reports enrichment coverage moving from 25-30% to over 70% by testing provider combinations inside Cargo's email waterfall, and Ashby recovers roughly a third of the emails it would otherwise throw away.

Cons

  • Credits are charged three different ways at once, by integration call, by orchestration step at one credit per hundred, and by storage at one credit per thousand upserts, so forecasting a monthly bill takes real work.

  • Credit overage is reserved for Enterprise accounts, so everyone below that stops mid-play when the balance empties and has to top up or upgrade before the work resumes.

  • The step from $250 to $1,190 a month is the only route from a small pilot to production volume, and there is nothing in between to grow into.

  • Independent validation is thin, with no meaningful G2 or Capterra footprint to check the vendor's own case study numbers against, so a pilot rests entirely on your own judgment.

  • Everything you build lives in Cargo's model format, its play format and its agent definitions, so leaving means rebuilding the orchestration rather than exporting it.

Pricing

Free

$0 100 credits, no card required

  • AI agents and workflows

  • 100+ integrations

  • Data models and territory management

  • Community support

Starter

From $165/month 1.5K credits

  • Everything in Free with no feature gating

  • 1,500 credits a month

  • Email support

Professional

From $250/month 2.5K credits

  • Everything in Starter

  • 2,500 credits a month

  • Email support

Business

From $1,190/month 17K credits

  • Everything in Professional

  • 17,000 credits a month

  • Priority support

Enterprise

From $3,000/month 50K+ credits, quote based

  • Everything in Business

  • 50,000 credits and up

  • SSO and role-based access

  • Credit overage allowed

  • Dedicated support and data residency

How it fits your stack

Diagram showing how Cargo fits into a GTM stack: scraped lists (Apify, PhantomBuster) feed into Cargo, and its output flows to enrichment table (Clay), outreach (Lemlist, HeyReach), your crm (HubSpot).

Alternatives

Cargo bundles the warehouse layer, the enrichment logic and the agents into one vendor. Assembled the other way, Clay holds the enrichment and research tables, n8n carries the orchestration and the odd API nobody supports, and HubSpot or Salesforce stays the system of record you already own.

Cargo bundles the warehouse layer, the enrichment logic and the agents into one vendor. Assembled the other way, Clay holds the enrichment and research tables, n8n carries the orchestration and the odd API nobody supports, and HubSpot or Salesforce stays the system of record you already own.

At a glance

  • Runs on your own Snowflake or BigQuery

  • Managed BigQuery if you have no warehouse

  • Plays trigger on row changes, not schedules

  • Research, Qualification and SDR agents built in

  • TypeScript CDK with plan and deploy commands

  • Around 150 integrations across CRM and enrichment

  • Usage credits at $0.25, plans from $165/month

  • SOC 2 Type II, SSO on Enterprise only

Read some of our client stories

Real builds for real clients: what we set up, and what it changed for their pipeline.

Real builds for real clients: what we set up, and what it changed for their pipeline.

GTM Workflows

Learn how to use GTM tools in workflows

Guides and tutorials to get the most from your workflows

Ready to get started?

Let us show you how this tool fits into your GTM strategy and workflow.

Let us show you how this tool fits into your GTM strategy and workflow.

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Services

Case Studies

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About

Nebor logo, a go-to-market and RevOps agency based in Amsterdam

Services

Case Studies

Resources

About

Nebor logo, a go-to-market and RevOps agency based in Amsterdam