Product · Verity

From a spoken sentence to a record you can trust.

Built first for Ontario retirement homes, Verity gathers, structures, reviews, and remembers the information needed to move care forward — one pass from conversation to operational memory, with a human in the loop at every step.

Incident report · #4821Maple Wing · Night shift
Approved
RESIDENTR. 214
REVIEWED BYJ. Okafor, RN · 04:46
FOLLOW-UPVitals q15 · scheduled
Searchable · audit trail retained
The approach

Everything between the words and the record.

Most tools stop at transcription. Verity does the work that follows — determining the record type, what documentation supports it, what is missing, who reviews it, and how it stays findable for the next shift.

01 · Capture

Say it once, in plain language

Staff describe the event, handoff, exception, or follow-up out loud or in text. No template hunting, no fields to fight — just what happened, in their words.

Voice & text intakeAny deviceHuman review built in
00:12
// Transcribing · night shift

“Resident in 214 was assisted to the floor around four-thirty. No visible injury. I'll need a supervisor to review before this goes anywhere.”

Detected recordFall / incident
RESIDENTR. 214 · auto-matched
SITE / SHIFTMaple Wing · NOC
TIME04:30 · inferred
WITNESSmissing · needs input
02 · Structure

Verity knows which record this is

It identifies the record type and the fields it requires, resolves the people, site, and shift involved, and flags what's still missing — linking back to the source context it came from.

Record-type detectionRequired-field mappingGap detection
03 · Review

Humans hold the pen

AI drafts the form, but nothing is approved, exported, or treated as official without a person. Every correction and decision is tracked, so accountability stays where it belongs.

Approve / reject / routeCorrection trackingFull audit trail
Supervisor review

Resident assisted to the floor. No visible injury reported. Recommends vitals q15 and supervisor sign-off before export.

JO
J. Okafor, RNon shift · can sign off
RejectApprove & export
JUN 14 · NOCAPPROVED
Assisted to floor, no injury. Vitals q15 ordered.
MAY 02 · PMAPPROVED
Near-fall at bedside. Mat added, family notified.
04 · Memory

Context that's actually searchable

Approved records build a continuous timeline the next shift can read — with follow-ups, provenance, and natural-language search across everything that came before.

Cross-shift timelinesNatural-language searchSource provenance
05 · Patterns

See the burden before it builds

Reviewed records make recurring documentation load and continuity gaps visible over time, so supervisors can act on patterns instead of guessing.

Recurring-gap detectionContinuity reporting
Incident reports / week↓ 18% after follow-ups
Built for care dataPHIPA/PIPEDA readiness to validatePIPEDAAudit trailCanadian deployment path to validate
Let's work together

No backlog, no bottlenecks — just care that moves.

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