Marketing sends the blast. Sales gets ignored. Meanwhile the warm path to the account you’re chasing is already sitting in someone’s inbox — a former colleague, a customer from two jobs ago, a conversation from last spring that nobody remembers.

Mentat is marketing automation built on the relationships your company already has. Instead of renting intent data or spraying templates at a purchased list, it reads the sources where your real network lives — inboxes, LinkedIn, and call notes — and builds a relationship graph from them.

What this 65-second overview covers

Why batch sends get ignored — and why the warm path usually already exists inside the company.
Building the relationship graph from inboxes, LinkedIn, and call notes.
Warm paths ranked by real interaction strength, not job titles. Knowing of someone and having a live relationship with them are different signals, and Mentat scores the difference.
The content engine — LinkedIn posts, blogs, case studies, and website updates drafted from your company’s actual context, not a template.
The AE review workflow — approve all, or edit. A human stays on every send.
The learning loop — every send makes the next one better.

Where the data lives

Extraction runs locally. Your relationship data stays yours — it is not shipped off to a third-party enrichment vendor.

Mentat runs on Hive, Object Edge’s organizational intelligence platform, and works the way the whole Hive + Sayya stack does: grounded in a graph built from your own systems, acting through drafts a human approves, and compounding with use. If your pipeline depends on cold volume while your warmest paths sit unused, talk to us.