Citations bring the lab
to you. This is the other direction.
Strong pull. The question is what you can turn up on purpose.
From who finds you, to who you choose.
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.
Three things, built for how research groups actually buy.
The named-account list
Principal investigators, core facility directors and discovery leads chosen by technique and by institution, not a bought list of job titles.
Messaging a scientist will read
Written to the assay and the problem, reviewed by a human before it goes. No templates and no volume for its own sake.
The handover
The playbook, the tooling, the dashboards and a trained operator, so the motion stays yours when we step out.
Every message, written for one real person.
Target
Named labs, cores and discovery groups, picked by technique and institution, not scraped by job title.
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.
You are strong where pull works. This is the other half.
A technical buyer
Your buyer is a scientist who spots a generic email in one line. Research-led personalization is the only thing that survives that reader.
A wide portfolio
Kits, nucleosomes, antibodies, services and a cloud platform. Different groups want different pieces, which is a targeting problem before it is a messaging one.
A channel you already have
Partners and distributors cover their territories well. A direct motion aims at the accounts nobody is working, and reports on its own.
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.