
I've been hearing from VCs and founders that in this market, the only thing that works to get the word out on products is authenticity and founder-led marketing, so I'm a creator now.

AI coworkers that connect your warehouse data, product analytics, and search intelligence to run your Marketing Operations




Agents run on a trigger, on a schedule, or whenever you ask. Same context, same approval model, three modes of work.
Autonomous agents
Agents read briefs, draft campaigns and audiences, and prep every asset for review. You approve, it ships. The recurring work moves off your team’s plate and onto a trigger.


Chat agents
Ask in plain English. The agent pulls from your CRM, warehouse, and brand context to answer with the data behind it, not generic suggestions. Iterate in chat until it’s right.
Scheduled agents
Configure the cadence, audience, and metrics once. Every Friday, or every hour, the agent pulls the numbers, surfaces wins and anomalies, and posts the recap to Slack.

Unify every GTM signal into a living context layer that AI can understand, reason over, and turn into growth, not another data warehouse
Activation outcomes feed new signals back into ingestion - closed-loop GTM context.
Cross channel marketing operations with its own playbook, connected through one GTM context layer.
Mayro never trains models on your calls, deal data, or rep activity. Not now, not ever.
Leadership sees what they need to. Nothing is shared across tenants.
Meeting transcripts, emails, and deal data deletable at any time, on request.