Predictive Scheduling · Dental

The dental visit is a guess.We made it a prediction.

Americans spend 270 million hours every year inside dental clinics. Just waiting. Not getting treated. Just waiting.

Oriva ends the guessing. The diagnostic engine that knows what your patient needs before they walk in.

Oriva Diagnostic Engine
Live
Smart Questionnaire
Adaptive intake · 5–8 questions
Or Veronica
Voice call · natural language
Probabilistic inference
P(Pulpitis | symptoms) → 0.84
Diagnostic brief
Codes + time estimate · sent to clinic
Right slot, right room
Patient arrives pre-triaged
Clinical brief ready
deterministic · auditable

Supported by

NSF I-Corps
Catalyze CU
CU Boulder
CU Anschutz
CU Venture Partners
The Problem

Half of every dental visit in America is wait time.

Not because clinics are bad at their jobs.

Nobody knows what the patient actually needs until they're already in the chair. By then, it's too late to fix the schedule.

For thirty years, the industry's answer has been the same paper form.

Same questions for everyone. Confusing. Overwhelming.

And the worst part: patients don't describe pain in checkbox language.

The form says “throbbing?”

The patient is thinking “like a heartbeat in my jaw.”

The form can't hear them.

So the schedule is built on a guess.

The clinic eats the cost. The patient waits.

Dentistry has accepted this for three decades.

We didn't.

The Modes

Two modes. One engine.

Because every patient is different.

Smart Questionnaire
What it is
Adaptive digital intake
How it works
Asks what a dentist would ask
For patients who
Prefer to type
Status
Live · validated across clinics
Veronica
What it is
A voice agent that calls the patient
How it works
A real conversation, in plain English
For patients who
Prefer to talk
Status
In beta · pilot rollout starting Summer 2026

Same engine. Same diagnosis. The patient picks the mode. The clinic gets the answer either way.

The Voice Agent

Meet Veronica.

A dental intake that finally talks back.

Veronica calls the patient before their visit.

No form. No checkboxes.

Just a real conversation, in plain English, in the patient's own words.

She isn't a chatbot. She's our engine, talking to your patient.

She listens. She asks the next best question.

And the patient walks into a clinic that already knows them.

For the first time in the history of dentistry, the front desk isn't guessing.

In beta · pilot rollout starting Summer 2026
Hear Veronica in action
0:00 / 0:00
Veronica · listening
What This Unlocks

The first thirty minutes were always wasted.Now they're revenue.

When the clinic knows the diagnosis before the patient arrives, every minute of the visit gets engineered in advance.

The slot.

The materials.

The room.

The patient walks out the door thirty minutes faster.

Same dentist. Same chair. Same clinical work.

More patients per day. More revenue per practice.

Time saved is revenue created. We don't change how the dentist practices. We change everything else.

BeforeGuesswork
9:00
Triage
9:45
Wait
10:15
Procedure
11:15
Overrun
AfterEngineered
9:00
Procedure
10:00
Procedure
11:00
Procedure
11:45
Procedure
The Workflow

How it works

01

Pre-visit intake

The patient picks Veronica or the Smart Questionnaire.

02

The engine runs

Real-time probabilistic inference. Adapts. Narrows. Predicts.

03

The clinic gets a brief

Structured diagnosis. Procedure codes. Time estimate. Sent before the visit.

04

The patient arrives prepared

Right slot. Right materials. Right room. Right diagnosis.

No surprises. No guesswork. No wait.

The Distinction

Why not just a chatbot?

How it reasons
Oriva

Deterministic · clinically auditable

Chatbot / LLM

Generative · plausible-sounding

Source of intelligence
Oriva

Probabilistic inference + clinical priors

Chatbot / LLM

Internet text

Output
Oriva

Structured diagnostic predictions + clinical codes

Chatbot / LLM

Free-text answers

When it works
Oriva

After 5–8 adaptive questions

Chatbot / LLM

After everything is described

Regulatory path
Oriva

Non-device Clinical Decision Support

Chatbot / LLM

Unclear

Failure mode
Oriva

Flags for human review

Chatbot / LLM

Hallucinates

We're not an AI wrapper. The engine is the product.

The Landscape

Why not imaging AI?

Imaging AI reads X-rays after the patient is in the chair, after the X-ray exists.

Oriva works before any data exists. Pre-visit. Pre-chair. Pre-X-ray.

A different problem at a different stage of the workflow. Complementary, not competitive.

Pre-visit
Oriva

Predict before the chair.

In-clinic
Imaging AI

Reads X-rays after the chair.

Post-visit
PMS

Records what happened.

For Dental Practices

The intake platform that pays for itself.

  • Patients arrive pre-triaged

    Diagnostic brief delivered to the dentist before the visit.

  • Schedules built around what's actually coming

    No more 30-minute slots for 90-minute procedures.

  • Front desk decompressed

    No more triage by gut feel over the phone.

  • No-shows reduced

    Patients who've already invested time in pre-visit intake are more likely to show.

  • Open Dental integration is live

    Dentrix and Eaglesoft on the roadmap.

Built for independent practices and DSOs alike.

app.oriva.health/dashboard

Today's Queue

3 patients ready

Live
SM
Sarah M.High

Sharp pain · Tooth #14 · Likely pulpitis

10:00
View Brief →
JD
John D.Med

Sensitivity · Lower molar · Possible cracked cusp

11:30
View Brief →
ER
Emily R.Low

Routine cleaning · No flagged symptoms

14:00
View Brief →
Diagnostic brief includes codes, time estimate, materials.
Where We Are

The dental industry has been waiting for this.

Letters of Intent from clinics across both modes

Active pilots with dental practices

Validated by dental clinics and verified by practicing dentists

In active conversations with major DSOs and health systems

The schedule was never broken.The information was.

We're fixing the information. The schedule fixes itself.