HHOLANTRAconnected care intelligenceOpen connected platform
Clinical intelligence before the encounter

A clearer patient story, ready before the visit.

Holantra turns a patient conversation and relevant longitudinal context into a source-aware brief that patients can correct and clinicians can review.

Synthetic-data development environmentNot for diagnosis, prescribing, or clinical care
H Clinical workspace
Brief ready for review
Current concernDizziness when standing
Patient reviewed
“It started four days ago after my medicine changed.”
PatientTiming & pattern

Four days · worse on standing

RecordRelevant context

Amlodipine dose changed recently

!

Uncertainty and missing information remain visible until clinician review.

Provenance checkedEvery claim linked to a source
Patient-reportedkept in the patient’s words
Record-derivedlinked to a verified source ID
AI-structuredlabelled, versioned, reviewable
Human-approvednever presented as autonomous care
One shared clinical story

Built around the encounter—not around another inbox.

The platform connects what the patient knows with what the record already contains, then makes the result reviewable by both sides.

01

Patient conversation

Patients explain what changed in their own words, with calm, adaptive follow-up questions.

02

Source-aware understanding

The current concern is structured beside relevant record context without merging sources or inventing facts.

03

Reviewed clinical brief

Patients can correct the brief before sharing it; clinicians review the same version before using it.

For patients

Tell the story once. See exactly what was understood.

Patients can speak naturally, review the structured brief, correct important details, and choose when it is shared.

Open patient experience
For care teams

Arrive at the visit with the important context already organized.

Clinicians receive a concise documentation brief with evidence, uncertainty, safety flags, and an explicit review state.

Open clinician experience
Safety is system architecture

The model is one component—not the authority.

Clinical AI must be bounded by deterministic rules, evidence checks, explicit states, and human responsibility.

View the evaluation environment →