AI for dental and veterinary software
Dental and veterinary software, with AI on the calls, the notes and the front desk.
For dental and veterinary platforms with paying practices. We build AI into your dental or veterinary platform, on the phone and practice management systems your practices run on.
Built for: Practice management, communications and clinical documentation products for dental and vet practices.
Already built or tried AI? Get it scored with the AI Scorecard.
app.acmedental.example/calls/yesterday
Acme Dental · Rebookly
DemoStep 1 of 5
Illustrative demo on a fictional practice. Not client work.
Where these products get stuck
What gets in the way, and how we handle it.
- 01
Calls are the front door, and the data is a mess
One clean call record per call
We validate events from each phone system before they become records, then flag callers who did not book.
- 02
Clinicians will not trust AI notes they cannot check
Approval is the only way in
Notes are drafted during the visit and filed only after the dentist or vet approves them.
- 03
Every practice runs different systems
Integrations we have already built
We have integrated with the major dental and veterinary practice management systems, and scope yours in the Product Review.
What practices ask before they switch it on
Short answers your customer success team can repeat.
- No text or note reaches a patient or a chart without a person.
- Each practice's calls, patients and documents are kept separate.
- Recordings and transcripts stay in your cloud, under your retention rules.
- We sign a BAA when the work needs one.
AI inside your product
The modules and services that fit this kind of platform.
Each one is shown on a fictional practice. It is built into your codebase and ships under your name, on an engine we license to you.
What it connects to: Phone systems (GoTo Connect, Jive, Netsapiens, Bandwidth), practice management systems (Dentrix, OpenDental, Eaglesoft, Denticon, ezyVet, Vetspire) and your own API. Sprints use synthetic calls, visits and patients.
Rebooklyby Datics AI
AI call follow-up for dental and veterinary practices
Every call becomes a record. Every caller who did not book gets a follow-up.
Fits: Dental and veterinary practice software, practice communications and patient engagement platforms
Chartlyby Datics AI
AI clinical notes with clinician approval
The note is drafted during the visit and filed only after the doctor signs.
Fits: Dental and veterinary practice software, clinical documentation products, specialty EHRs
Desklyby Datics AI
AI assistant for practice staff
Staff ask in plain words. Answers come from your policies, with the source.
Fits: Practice management software, dental service organization platforms, practice operations tools
Connectlyby Datics AIService
Practice management, EHR and phone system integration
Your product connected to the practice systems behind every front desk.
Fits: Any healthcare software that needs data from practice systems
Proof
What we have built that this rests on.
57 featured AI case studies: AI products and AI built into live products, each written up on our Work page.
Peerlogic Technologies
Dental and veterinary · Call intake
Our engineers inside Peerlogic's team turn raw phone events into trusted call records
Each phone system reported calls its own way. Now raw events become validated records that Peerlogic's dental and vet call AI relies on.
Dental clinical documentation AI company
Dental · Clinical note drafting
Dentists approve a clinical note drafted during the appointment, not rebuilt after it
Dentists rebuilt notes from memory after each visit. Now AI drafts the note during the appointment, and only the dentist can release it.
MIRA
Healthcare · Multi-clinic intake SaaS
Clinics sign up, pay per provider and run their own AI patient intake
The AI intake worked in three practices but was hard coded. Now any clinic signs up, pays per provider and runs it, and names never reach the model.
How it works
Three ways to start, each at a fixed price.
Most dental and veterinary platforms start with Rebookly in a Build Sprint: call capture, the not booked flag and approved follow-ups on one phone system.
Healthcare Product Review · 30 minutes, no chargeStart here. We look at your product with you, agree the practice outcome you want, and tell you which of the three below fits.
Book a 30-minute Product ReviewNo AI yet, and a module fits
Build Sprint
$10,000 fixed3 weeks
Pick it when: One of our modules delivers the outcome you want.
- One practice outcome (2 to 3 related capabilities) working in your staging, behind a feature flag
- Pull requests to your repo, built on synthetic or de-identified patient data
- Quality and safety evals, the cost per practice and a packaging recommendation
- A fixed-price quote for production
Something new, or a plan first
Planning Sprint
$5,000 fixed2 weeks
Pick it when: You need something our modules do not cover, or want a plan before you build.
- Where AI fits across your product, including beyond our modules
- A prioritized capability map, with what each one depends on
- A readiness review of your architecture, data, integrations and permissions
- A fixed-price quote to build it and take it to production
AI already built or tried
AI Scorecard
$5,000 fixed2 weeks
Pick it when: You have already built or tried an AI feature in your product, live or not.
- One AI feature you have built, tested in staging on 50 of your own de-identified cases
- PHI leakage, cross-practice access and misuse tests
- Cost per practice and a packaging recommendation
- A scorecard, ranked fixes, draft security answers and a fixed quote
Not a compliance audit or certification.
How the AI Scorecard worksProduction, at a fixed quote
We take what your Sprint built or planned live for your practices, by pull request, with no standing production access. It typically includes load testing at your peak and a spend cap per practice. Your Sprint or Scorecard fee counts toward it.
After go-live, optional support
The product is finished and yours to run. If you want us to stay on: a named lead engineer, a monthly quality and cost report, testing before any model change, and more capabilities, each at its own fixed quote.
Stop after any Sprint and keep what you got.
How a Build Sprint runs
- In the setup week we map your integrations and agree what the Sprint touches.
- We follow your coding standards, tests and CI; your engineers review and merge every pull request.
- Half at signature, half when the Sprint Pack is delivered.
- Your time: about 2 to 3 hours a week from a product owner, plus an engineer to review pull requests.
Product improvements you can measure
What we agree to measure: quality and cost on test sets in the Build Sprint, adoption and outcomes once it is in production, so the decision to go further is made on evidence.
Callers who did not book get a follow-up
Share of not booked callers contacted within a day
Notes finished when the visit ends
Time from visit end to approved note
Fewer interruptions for the office manager
Staff questions answered with a source
We set the success measures with you in the setup week.
Built for patient data
Controls your customers' security reviews ask about.
Each control is a design fact about how the module is built and how we work, not a compliance claim.
Works with what you run
Reads schedules, patient records and calls through the APIs and roles your product already has.
De-identified data in Sprints
Sprint work uses synthetic or de-identified data and ships as pull requests to your repo.
Cited, and the clinician approves
Answers show their source; anything that reaches a chart or a patient waits for a person.
We work within your HIPAA, privacy, security and customer requirements, and sign a BAA when the work needs one. Compliance depends on the complete product, contracts, policies and operating environment; Datics does not present software engineering alone as legal certification.
How we handle patient dataQuestions we hear on the first call
Straight answers before you book.
Can AI read our practices' calls when every phone system is different?
Yes. We have integrated with GoTo Connect, Jive, Netsapiens, Bandwidth and others, so calls arrive as one kind of record whatever the system. We scope yours in the Product Review.
Can a dentist or vet approve every AI note?
Yes. Approval is the only way a draft is filed to the chart.
Can outside engineers work in our codebase under our CTO's review?
That is how we work: in your repositories and cloud, with every change through your pull request review.
Other healthcare platforms we build for
See it on your own product.
Bring one product, workflow or AI feature. In 30 minutes we tell you which of the three ways to start fits, what it would cost to serve per practice and what your customers' privacy review will ask.
Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.