Newton

Newton

AI-native dental front-office platform where Sophia answers calls, books visits, verifies insurance, and writes every outcome back to your PMS.

62/100MonitorCustom pricingContact Sales

Newton earns a serious look if your front desk loses calls or your recall list goes stale. What separates it from generic AI receptionists is the shared patient record: Sophia's bookings, Engage's recall and waitlist work, Insurance's overnight verifications, and Growth's click-to-chair attribution all write back to Open Dental, Dentrix, or Eaglesoft, so your reporting is production and CAC rather than call volume. The homepage evidence is concrete — 170 appointments booked by Sophia in six months at one practice, a cancellation refilled from the waitlist in about 90 seconds, and −32% CAC Q2 vs Q1 across 22 locations. Compare it against a general-purpose answering service (cheaper but no

Verified 1d ago · liveness 62/100 · cite: rightaichoice.com/tools/newton

Best for
  • Multi-location DSOs needing consistent front-office execution
  • Emerging dental groups centralizing 5–20 locations
  • Practices losing calls to voicemail, lunch rushes, or after-hours gaps
  • Office managers buried in recall, eligibility, and collections calls
Not ideal for
  • Non-dental businesses — the platform is dentistry-specific
  • Practices that want a fully human front desk with no AI involvement
  • Clinics whose primary patient channel is SMS chat or online self-booking rather than the phone
Visit Website

IntermediateNewton's own walkthrough is Day 1 to connect the PMS (the homepage example reads 4,182 patient records, finds 96 open slots, and surfaces 212 overdue recalls), Day 2–3 to set your call-handling rules, then go-live within weeks. Plan for a DSO rollout to be gated by how fast each office agrees on and configures its routing rules, not by the technical connection.WebNo public APIVerified 1d ago
Pricing
Custom pricing
Contact Sales3 hidden costs
Learning curve
Intermediate
Newton's own walkthrough is Day 1 to connect the PMS (the homepage example reads 4,182 patient records, finds 96 open slots, and surfaces 212 overdue recalls), Day 2–3 to set your call-handling rules, then go-live within weeks. Plan for a DSO rollout to be gated by how fast each office agrees on and configures its routing rules, not by the technical connection.
Runs on
Web
No public API · 3 integrations
Who it's for
DSO operations director running 12 dental officesOffice manager at a two-location practice losing calls to a busy front deskPractice owner tracking marketing spend across locations
Live sentiment
Is Newton actually worth it?

We scan live Reddit threads, YouTube comments, X posts, G2 reviews and other communities — and hand you an honest verdict in under a minute.

  • Honest verdict, not marketing
  • Real pros & cons from real users
  • Attributed quotes with receipts
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Skip it if

Skip Newton if you run a non-dental business, if your patients mostly reach you through SMS or online self-booking rather than the phone, or if you want a fully human front desk with no AI answering calls.

The 30-second take
Biggest gripe

Sophia only books in the PMS systems it syncs with — if your practice management system isn't Open Dental, Dentrix, or Eaglesoft, you're looking at a PMS migration before the AI saves you anything.

Price reality

Newton's commercial terms aren't published on the pages we reached, so we can't tell you what it costs or how that fits against your budget. Judge it as multi-location DSO software rather than a per-seat answering service: the value case (booking rate, recall currency, and CAC benched across locations) only closes if you're running enough offices to need the comparison.

In short

Newton — AI-native dental front-office platform where Sophia answers calls, books visits, verifies insurance, and writes every outcome back to your PMS. Best for Multi-location DSOs needing consistent front-office execution, Emerging dental groups centralizing 5–20 locations, Practices losing calls to voicemail, lunch rushes, or after-hours gaps. Contact Sales pricing.

What people actually say about Newton — is it worth it?

We scanned public community sources for Newton on Jul 3, 2026 and could not establish that the discussion we found is about this tool rather than something else sharing its name. Our own analysis of that scan says the posts were off-subject. Rather than publish a sentiment score built on the wrong subject, we publish nothing here and re-run the scan.

Viability Score

62/100
Monitor

How well maintained and how widely used is Newton? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this

Recent activity
not measured
Traction
100
Site health
95
User sentiment
13
What the vendor publishes
20

Last calculated: October 2026

How we score →

Key Features

  • Sophia, a conversational AI agent that answers inbound dental calls
  • Appointment booking, rescheduling, and cancellation handled by the AI
  • Call outcomes written directly back to the PMS patient record
  • Outbound recall calls to overdue patients, worked daily and logged
  • Smart waitlist that refills cancelled slots, shown refilling in about 90 seconds
  • Text confirmation sent to the patient after a waitlist refill
  • Insurance eligibility verified overnight down to the code and attached to the chart
  • AI-driven balance collection by phone, with payment plan offers where applicable
  • Engage module for recall, waitlist, balances, and unscheduled treatment
  • Phones module: one phone system for your team and your AI with call routing rules
  • Call tagging and outcome logging with a target of zero calls without a logged outcome
  • Growth module tracing each new patient back to the first click for true CAC
  • Real-time location index comparing booking rate, recall currency, and production
  • Ask Newton: natural-language querying of production, bookings, and new patients
  • Multi-location support with one source of truth across every office

About Newton

Contact SalesIntermediateNo APIWeb

Newton is an AI platform built specifically for the dental front office, and it runs five modules off one shared patient record. Inbound is where the Sophia voice agent picks up calls your team can't answer and books the visit; the homepage shows Sophia answering a 7:58 AM call before the office opens and booking a new patient for Thursday 9:40, and one practice booked 170 appointments through Sophia in six months. Phones puts your team and your AI on one phone system with call routing and outcome tagging, targeting zero calls without a logged outcome. Insurance runs eligibility verification overnight down to the code and attaches results to the chart — the homepage example shows 34 patients verified and 3 flagged for the morning huddle. Engage works recall, waitlist, balances, and unscheduled treatment daily; a cancellation in the demo gets refilled from the waitlist in about 90 seconds with a text confirmation. Growth traces every new patient back to the first click so you get an acquisition cost counted in the chair — the homepage cites −32% CAC from Q1 to Q2 across 22 locations. Two-way sync with Open Dental, Dentrix, and Eaglesoft means records read in and call outcomes write back, so nothing is re-typed. Leadership gets a location index that benches booking rate, recall currency, and production against your best-performing office. It is dentistry-specific — non-dental businesses are out of scope.

Behind the Verdict

The dental front office has become a crowded category, and most of it is a voice agent with a booking calendar bolted on. Newton's differentiator is architectural rather than conversational: five modules (Inbound, Phones, Insurance, Engage, Growth) sit on a single patient record, and adding one is supposed to make the others smarter. That claim only holds if the write-back actually works, and the homepage commits to it — two-way sync with Open Dental, Dentrix, and Eaglesoft, 4,182 patient records read and 96 open slots detected on Day 1, with every call outcome written to the PMS so nothing has to be reconstructed. The demo flows are unusually specific for this category: Sophia answering before open at 7:58 AM, four lunch-rush lines busy with six calls handled and zero to voicemail, a $860 balance paid from a reminder text with a payment plan offered but not needed, and overnight eligibility resolving 34 patients down to the code with 3 flagged. Growth is the piece competitors usually skip, and it is the one a DSO owner is actually buying: every new patient traced to the originating click, expressed as cost per patient in the chair rather than cost per lead. The location index benches booking rate, recall currency, and production across offices against your best — Cedar Park at 50% booking and 81% recall currency versus Lakeside's 61% and 96% is a management conversation you can have with a number instead of a feeling. Where Newton needs scrutiny: the rule engine is both the strength and the dependency. Routing (same-day emergencies, hygiene to chairs 1–3, new patients on Fridays with Dr. Kim) has to be configured on Day 2–3, and Sophia will execute bad rules correctly and at scale. PMS coverage is documented for three systems — verify yours is on the list before you sign anything. And the product is phone-first: if your patients reach you mainly through SMS chat or online self-booking, the biggest part of the value proposition doesn't apply to you.

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Real-world workflow fit

Concrete scenarios for the personas Newton actually fits — and what changes day-one when you adopt it.

DSO operations director running 12 dental offices

Day 1 connects Open Dental, Dentrix, and Eaglesoft locations and reads in patient records and open slots. Day 2–3 sets call rules per office — same-day emergencies, hygiene to chairs 1–3, new-patient Fridays. Within weeks Sophia answers after-hours and lunch-rush calls, Engage works the recall and waitlist lists daily, and Insurance runs eligibility overnight.

Outcome: The morning huddle starts with exceptions instead of paperwork, and the location index shows which offices are behind on booking rate, recall currency, and production, benched against your best site.

Office manager at a two-location practice losing calls to a busy front desk

Sophia picks up when all lines are busy or the office is closed, books the visit, and writes the outcome into the PMS. Cancellations trigger waitlist calls automatically, and overdue balances get a reminder text with a payment plan offered where needed.

Outcome: Calls stop rolling to voicemail, cancelled slots get refilled in roughly 90 seconds with a text confirmation, and the manager stops spending the day on recall dialing and collections calls.

Practice owner tracking marketing spend across locations

The Growth module traces every new patient back to the originating click, while Sophia's call bookings and Engage's recall work log into the same patient record in the PMS.

Outcome: You get an acquisition cost counted in the chair rather than at the lead, which is the number to bring to a marketing budget conversation — the homepage cites a −32% CAC Q2 vs Q1 across 22 locations.

Use Cases

Models Under the Hood

Sophia

as of 2026-10-08

Limitations

  • Newton is purpose-built for dentistry, so non-dental businesses are out of scope.
  • The product is framed around the phone-based front office — inbound calls, recall, insurance, and collections — which means the workflows your team lives in are the ones Newton automates.
  • The rule engine is a strength and also a dependency: call handling (same-day emergencies, hygiene routing to chairs 1–3, new-patient days) has to be configured on Day 2–3, and if your rules are wrong Sophia will execute them correctly.
  • PMS integration is documented for Open Dental, Dentrix, and Eaglesoft; check that yours is on the list before you commit.
  • For commercial terms, contract length, and what a rollout costs at your location count, use the vendor's own site.

as of 2026-10-09

Verification history

We have re-verified Newton 8 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.

  1. — re-checked, vendor evidence unchanged
  2. — re-checked, vendor evidence unchanged
  3. — re-checked, vendor evidence unchanged
  4. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  5. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
  6. — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it

Showing the 6 most recent of 8 verification passes.

Free to cite with attribution — this page re-verifies continuously.

Hidden costs & gotchas

What the public pricing page doesn't put in bold. Captured from pricing-page footnotes, contract terms, and recurring complaints.

  • Sophia only books in the PMS systems it syncs with — if your practice management system isn't Open Dental, Dentrix, or Eaglesoft, you're looking at a PMS migration before the AI saves you anything.
  • The rule engine needs configuring on Day 2–3 and someone has to own it afterward; staff time spent maintaining call routing rules is real overhead that never shows up as a line item.
  • Changing offices is expensive in coaching time rather than dollars — the location index only pays off once every site is consistently logging outcomes, so a single location that won't follow the process drags the whole

Where the pricing makes sense

The company stage and team size where Newton's pricing actually pencils out — and where peers do it cheaper.

Newton's commercial terms aren't published on the pages we reached, so we can't tell you what it costs or how that fits against your budget. Judge it as multi-location DSO software rather than a per-seat answering service: the value case (booking rate, recall currency, and CAC benched across locations) only closes if you're running enough offices to need the comparison.

Setup time & first value

How long it actually takes to get something useful out of Newton — broken out by persona, not the marketing-page minute.

Newton's own walkthrough is Day 1 to connect the PMS (the homepage example reads 4,182 patient records, finds 96 open slots, and surfaces 212 overdue recalls), Day 2–3 to set your call-handling rules, then go-live within weeks. Plan for a DSO rollout to be gated by how fast each office agrees on and configures its routing rules, not by the technical connection.

Switching to or from Newton

How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.

Migrating in
  • →From a human answering service: point your lines at Newton's Phones module so Sophia and your team share one phone system with tagged outcomes and routing rules.
  • →From a batch recall process: move the overdue list into Engage so recall calls run daily and every result is logged.
  • →From manual insurance portal checks: switch eligibility to the overnight run so verification lands on the chart down to the code before the morning huddle.
  • →From spreadsheets tracking marketing: turn on Growth so new patients are traced from first click to booked production.
Migrating out
  • ↗To a general-purpose AI receptionist: expect to lose the two-way PMS write-back and the click-to-chair acquisition attribution.
  • ↗To your PMS vendor's native front-office modules: expect tighter bundling but no independent production and CAC comparison across locations.

Integrations

Open DentalDentrixEaglesoft

Resources & Guides

Tutorials & Learning

YouTube returned 6 videos for “Newton”, and we withheld 6: 6 could not be judged, because “Newton” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Newton.

Official links

Tools that pair well with Newton

Common stack mates teams adopt alongside Newton, with the specific reason each pairing earns its keep.

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Frequently Asked Questions

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