AI for specialty clinic software
Every visit starts with the history already taken and summarized.
For clinic platforms with paying practices. AI patient intake by tap or voice, a summary the physician reads first, and per-provider billing, with names kept from the model.
Built for: Intake, patient engagement and specialty practice products for clinics.
Already built or tried AI? Get it scored with the AI Scorecard.
app.ridgewayclinic.example/intake/new-patient
Ridgeway Spine and Pain · Intakely
DemoStep 1 of 7
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
Intake is retyped and asked again
Adaptive intake with a summary
Questions adapt to each answer, required answers cannot be skipped, and the physician gets a summary before the visit.
- 02
A prototype built for one clinic
Multi-clinic from the data up
Clinic isolation, roles and per-provider billing are settled before the screens.
- 03
Privacy review blocks the model
Names never reach the model
Identifiers are removed before any AI call, by design.
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: Your scheduling, patient record and billing (Stripe for per-provider plans), plus EHRs over HL7 and FHIR where needed. Sprints use synthetic patients.
Intakelyby Datics AI
AI patient intake and visit summaries
Patients answer before the visit. The physician starts with a summary.
Fits: Specialty clinic platforms, patient engagement and intake products, practice management software
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.
MIRA
Healthcare · AI patient intake
Pain physicians start each visit with an AI summary of the patient's history
Pain histories used to be taken in the room. Now patients answer adaptive questions first, by tap or voice, and AI drafts the summary.
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.
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.
How it works
Three ways to start, each at a fixed price.
Most clinic platforms start with Intakely in a Build Sprint: adaptive intake for one visit type and the physician summary.
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.
Patients arrive with intake done
Share of visits with a completed intake
Shorter history taking in the room
Minutes of history taking per new patient
Clinics run it themselves
Clinics set up without a support ticket
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.
Do patients need accounts?
No. They answer on a clinic iPad or from a link.
What part of HIPAA stays with us?
Your product, contracts and audits stay yours. We work within your HIPAA requirements, inside your accounts, and sign a BAA when the work needs one.
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.