Every objection, rehearsed.
Every claim, grounded.
Pick a therapy area, pick a specialization, and give your reps a doctor who's ready to push back, built from the same Brand Dossier that already keeps your content on-label.
The Gap
Generic sales-coaching platforms already prove reps get faster and better.
Faster time to readiness, claimed by the category incumbent
Faster certification, on the same incumbent’s own pharma page
Reported mastery rate, once a rep is certified
Numbers above are quantified.ai’s own published claims, not SwishX’s. What none of them publish: whether a certified rep ever says something off-label once they’re back in the room. That’s the part a sales methodology was never built to check, and the part SwishX adds.
Build the doctor in under a minute.
No prospect list, no LinkedIn scraping. The persona that matters for a detailing call is clinical, not social.
Persona configurator
Build the doctor your rep is about to talk to.
This is a demo of the configurator. Booking a demo shows the real, live roleplay call.
Everything a training lead actually asks for.
Built on the same architecture as the rest of SwishX. Nothing here is a bolted-on compliance layer.
Persona Configurator
Therapy area, HCP specialization, and your own company name generate a named, trained roleplay persona in under a minute.
Live Roleplay
Voice or text conversation against the generated persona, objection handling and discovery included.
Dossier-Linked Scoring
Every call scored against the same claims-linked, fair-balance, on-label rubric that already governs your content.
Field & Certification Coaching
Pre-call prep, post-call breakdown, and launch or certification readiness tracking, per rep and per cohort.
Compliance & Audit Trail
Every scored session logged and exportable, matching the audit-ready bar your content review already meets.
Manager Insights
Readiness and adherence signals rolled up by team, region, or launch cohort, not just by individual rep.
Coaching that happens between appointments, not instead of them.
A rep reviewing a scored call in the back of a cab is the actual moment this was built for, not a training-room simulation.
- Pre-call prep pulled from the same brief the rep is walking into, not a generic checklist.
- Post-call breakdown scored against the on-label, fair-balance rubric, the moment the call ends.
- Certification and launch-readiness tracked per rep, without pulling anyone out of the field to do it.
A rep doesn’t need to rehearse against a job title.
They need to rehearse against the exact claim they’re about to defend,
in front of the exact kind of doctor who will push back on it.
That's a different axis than a LinkedIn-scraped persona was ever built for, and SwishX already has the infrastructure for it: the same Brand Dossier that grounds every claim in your content.
One team built the compliance. The other built the configurator. Nobody built both.
Quantified.ai proved regulated sales training works. Hyperbound proved a fast configurator beats a cold-call list. This is what happens when one product does both.
| Capability | Quantified.ai | Hyperbound | SwishX |
|---|---|---|---|
Built for regulated / pharma sales | - | ||
Persona built from a configurator, not a job title | - | ||
On-label / off-label scoring | - | ||
Shares a source of truth with content generation | - | - | |
MSL / off-label question handling | - | Not yet | |
Self-serve free tier | - | Not yet | |
| Book a Demo | |||
Based on each platform's own public site as of September 2026.
One dossier, two jobs.
The same five co-workers that keep your content on-label now build the doctor your rep practices against, and the rubric that scores the call.
1Project Manager
Intakes the therapy area, drug, and target HCP specialization for the session.
2Content Strategist
Selects the persona's clinical background and objection style for that specialization.
3Medical Writer
Grounds the persona's knowledge and objections in your approved claims, so nothing it argues is off-label.
4Creative Producer
Renders the live roleplay voice and builds the scorecard rubric for the session.
5MLR Reviewer
Scores every call against the same on-label, fair-balance rubric used for content review.
Every call scored the same way your content already is.
A rep who nails a generic objection can still say something off-label in the room. Sales methodology doesn't check for that, and neither does a roleplay bot built for software buyers. This one does, because it shares its rubric with the system that already reviews your content.
See it run on your own brand.
Book a 30-minute demo and watch a brief become a review-ready asset before the call ends. Or start free and make one yourself.
