The co-op only works
if the employers keep coming.
Universities have a sales problem they do not call one.
From inherited relationships to a named market.
Build. Run. Own.
Build
We design, staff and stand up the complete unit. The named-account data, the messaging, the outbound engine, the automation and the reporting.
Run
We run it in market for a fixed four months and prove it on real booked meetings, not slides. First conversations land early.
Own
We hand over the playbook, the tooling, the dashboards and a trained operator. You own the engine.
What a built unit looks like inside a university.
The named company layer
Cooperative education and internship employers, corporate training buyers, research sponsors and corporate giving contacts, by industry and region. The reachable set on one page before anything sends.
A voice that sounds like the institution
Nothing that reads like a marketing blast. Each message is written to one person, from public detail about their company, and read by a human before it sends.
An operator you keep
We staff and run the unit for the engagement, then hand over the playbook, the tooling and a trained operator. The capability stays with the institution.
Every message, written for one real person.
Target
We build the named company list by industry, region and hiring pattern from public records, then agree it with you before anything sends.
Personalize
AI reads each profile and writes a unique message. No templates.
Hand off warm
A positive reply pings you and your operator with the prospect and a way to reach them.
You take it from there
You take pre-qualified conversations. The engine handles everything before it.
The companies you want are enumerable.
A finite, public universe
Employers who hire in a given field and region are a countable list, not a guess. That is the best possible input for this kind of engine, because you can work all of it.
The name opens the door
A message from a known university gets read. The hardest part of cold contact, being worth opening, is solved before the first line.
No permanent agency
Four months, then the engine, the data and the trained operator belong to the institution. Budget holders tend to prefer that shape to an open-ended commitment.
Numbers from live campaigns, not projections.
Enquirer AI helps us identify the right people and start the conversation in a much smarter way.
You own it at the end. That is the difference.
Stand up fast. Prove it. Then scale.
Build
The named-account data, the messaging, the engine and the dashboard. Day-one capacity from warmed assets and managed seats.
The test
Run against the KPIs we agree up front. First meetings on the calendar early.
Ramp
Once the numbers hold, ramp the seats and breadth to the volume you want.
Hand over
Playbook, tooling, dashboards and a trained operator. The engine is yours.
Let's see if the mechanism fits.
- A short call with Paul, 20 minutes, at a time that works for you.
- Paul brings the named accounts and the exact people we would start with. You tell us if the list is right.
- If it fits, we agree the scope and a start date. If not, you keep the read.