The AI clinical layer that rides on whatever your clinic already runs: decision support at the moment of care, every patient's story on one timeline, prescribing in about 90 seconds.
Real people, real procedure: the standard behind every order.
IntelliHealth reads the chart, the labs, and the formulary. Then it speaks up at the moment it matters. A second set of eyes on every script.
Hy's Law screening included. If the data isn't there, it stops. It doesn't guess. Prescriptions are blocked pending review, with an explicit override path that leaves a note.
Intake, labs, prescriptions, shipments, messages, outcomes: one timeline, in order, with nothing missing.
Intake, labs, prescriptions, shipments, messages, outcomes. One timeline per patient, in order. No more tab-hopping across systems to reconstruct what happened.
Type four letters and the full product appears: name, strength, form, and size.
Type four letters and the full product appears: name, strength, form, and size. Days supply and units compute automatically.
Your EHR stays the system of record. Nimbus makes it smarter at the moments that matter.
Launch Nimbus from inside the chart you already have open. No separate login, no duplicate patient records.


Nimbus wasn't incubated in a growth lab. It grew out of a working compounding pharmacy: founded by a PharmD, governed by pharmacists, and backed by the clinicians who review your patients' orders every day. Fulfillment runs through accredited 503A partner pharmacies.
That's the difference between a platform that routes and a team that answers.




No seat licenses. No implementation fees. Pick the model that matches how your clinic prescribes, or mix them.
Yes. That's exactly what Guided is. Your patients order through your storefront, licensed prescribers in our network conduct real, documented encounters, and accredited partner pharmacies fill. The clinical decisions stay with clinicians, the brand stays with you, and every step leaves a paper trail.
Twenty minutes, no deck: the actual platform, on your use case. We onboard in cohorts and the first one starts this September; booking a demo holds you a seat.
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