GTM infrastructurefor AI agents.
Your agents bring the reasoning. Cargo brings everything underneath: one data model, maintained connectors, execution that retries, and a trace of every run.
Agents wired to a dozen APIs.Or agents on a runtime.
Cargo does not replace the agents you built. It is the floor they stand on.
Your agents today
- ✕Each API with its own auth and rate limits
- ✕Glue code you wrote and now maintain
- ✕Failures you find a week later
- ✕One person's laptop keeps it running
On Cargo
Notify in SlackSeven primitives. One system.
Everything a GTM is made of, as resources in one workspace. Defined once, versioned in git, used by your team and your agents alike.
Agents
Bring your own or use ours. Each has a prompt, tools, memory, and a check on its own work.
Programmable or visual. Same play.
The same play: asked for in Claude Code, defined in TypeScript, run from the CLI, or built in the app.
Create a play that qualifies demo requests against our ICP and assigns them to a rep.
Done. Here is the play, deployed to your workspace:
- TriggerDemo request
- QualifyAgent, against your ICP
- AssignTo a rep
Notify the team in Slack when it is a strong fit.
Added a Slack step after Assign.
Account scoring
Keep every account scored and tiered against your written ICP by a deployed agent that re-scores as accounts arrive and as the ICP changes, writing the rationale back to the CRM.
Agentic engagement
Deploy an agent that holds email conversations with leads: a sending domain, a mailbox, native sendEmail and listEmailEvents on the agent, a native email trigger on reply and unsubscribe, and a heartbeat that checks thread status when nothing inbound happened.
Call capture
Every call the team records is collected into the cadence layer each morning, scribed into a log entry, and — once a claim repeats — promoted into the context knowledge layer, as one reviewable pull request against your GTM repo.
CRM enrichment
Keep CRM accounts filled and refresh them when they go stale: a deployed play that fills approved blank firmographics from LinkedIn and re-enrolls a record after six months.
TAM building
Stand up your account universe as a deployed pipeline: an AI Ark company search shaped by your ICP, sized for free before it bills, then tiered A / B / C / disqualified by an agent that reads your rubric from the workspace context and web-searches the evidence the sourced row does not carry.
100+ connectors, maintained for you.
Teams build their go-to-market on Cargo
More Leads Generated
Cargo automated Descript's lead enrichment pipeline, surfacing 5x more qualified prospects from inbound signups.
CRM Enrichment Levels Achieved
Oneflow achieved 80% CRM data coverage by combining 30+ enrichment providers through a single Cargo play.
Frequently asked questions
What Cargo is, how you build on it, and how to start.
Built with Claude Code. Running on Cargo.
“Most ICP models are built once and forgotten. Ours runs perpetually — every closed-won, every churn, every pattern. Cargo enriches the gaps, does the analysis, and deploys it as a skill we can call from anywhere. This is what infrastructure actually means.”Alexis Girard
Pivot
Enterprise-grade infrastructure
SOC 2 Type II certified
Audited annually by independent third parties. Controls verified across security, availability, and confidentiality.
Audit log & evals
Every run, write, and approval is recorded and exportable. Eval suites gate a prompt change before it reaches production.
Data residency
Choose where your data lives. Multi-region deployments keep you compliant with local regulations.
SSO & role-based access
SAML-based single sign-on and granular permissions so every team member sees only what they need.
Version history
Every agent, play, and workflow is versioned. Compare diffs, roll back in one click, and audit who changed what.
GDPR & trust center
DPA templates, sub-processor lists, and security documentation ready for your procurement team.
Give your agents a runtime
Bring the agents you have.Start free, deploy in one command.