Why we built Juno this way
Modern dental practices don't need another PMS.
Talk to any dentist who's run a practice for more than five years and you'll hear the same complaint about practice management software: "It worked great in 2008. We've been waiting for something better ever since." The dominant systems — Dentrix, Eaglesoft, Open Dental, SoftDent, CareStack — are mature, feature-complete, and frozen in time. They're optimized for the workflows that existed when they were built, before AI changed what software could do.
The result is a market full of practice owners who feel stuck. Switching is painful, the alternatives all look like minor variations on the same idea, and the "AI dental software" pitches from incumbent vendors usually mean a chatbot bolted onto a 30-year-old codebase. Juno was built to be the genuinely new option — an AI-native platform designed from the ground up for the way modern practices actually work.
What "AI-native" actually means
An AI-native PMS is one where AI does the routine work, not where AI offers suggestions about routine work that staff still do manually. The distinction matters a lot. Bolt-on AI features (the kind you'll find in current Dentrix, Eaglesoft, and Open Dental updates) are designed to give staff slightly better information to do the same tasks. AI-native software is designed to do the tasks, with staff in an approval-gating role.
Juno's six AI agents work in parallel:
- Front Desk agent answers calls, books appointments, handles rescheduling requests, and answers common patient questions — 24/7, with full conversation logs available for review.
- Scheduling agent detects cancellations within seconds and dispatches personalized SMS to patients on the wait list, fills gaps in real-time, and rebalances the schedule when a provider runs late.
- Claims agent scrubs every claim line against the payer's last 90 days of behavior, predicts denials before submission with specific reasoning, and auto-generates appeal letters when claims are rejected.
- Eligibility agent verifies insurance the moment an appointment is booked, surfaces the patient's deductible, maximum, and benefits used so far, and flags eligibility issues before the patient arrives.
- Clinical agent drafts SOAP notes from ambient operatory audio, classifies periodontal cases by ADA Stage and Grade automatically, and surfaces trend changes the doctor might miss.
- Recall agent identifies patients lapsed past their recall window, drafts personalized outreach, and re-engages without staff time.
None of these agents act unilaterally. Every write action — every SMS, every claim submission, every appointment booking — flows through an approval queue (or a configured allowlist) before it commits. Practices can choose how aggressive they want each agent to be. A solo practice might keep most actions in approval mode. A 12-location DSO might allowlist everything except clinical notes.
What modern dental practices actually want from their software
Across our design partner conversations, the same themes come up:
- Less software interaction, more dental work. Every minute spent clicking through screens is a minute not spent with patients. The dentists most enthusiastic about Juno aren't the ones excited about AI — they're the ones who simply want to spend less time fighting their PMS.
- Predictable revenue. Insurance denials and slow AR aging are the silent killer of practice profitability. Practices want claims to file cleanly the first time and AR to actually shrink. The 98.4% target clean claim rate isn't a vanity metric — it's directly proportional to how predictable monthly revenue becomes.
- Cross-location visibility. Multi-location groups and DSOs running legacy systems often have no real-time view of their own operations. They want a single dashboard that shows AR aging, schedule utilization, and provider productivity across every location.
- Native imaging integration that just works. Imaging is consistently the hardest part of any dental software stack. Practices don't want a "view radiograph in PMS" iframe; they want the actual imaging system (Carestream, Dexis, Sirona, Planmeca, Vatech) to feel like part of the PMS.
- Migration that doesn't take six months. The biggest reason practices stay on legacy software isn't loyalty — it's fear of the migration. Free 14-day migration with reversible cutover removes that barrier.
"The reason I haven't switched off Eaglesoft isn't because I love Eaglesoft. It's because every alternative looks like a slightly nicer Eaglesoft. Juno is the first one I've seen that's actually different."
Why now is the moment for AI-native dental software
Dental practice software hasn't changed materially since the late 2000s. The reason is simple economics: the market is dominated by a handful of incumbents who collectively serve 80% of US practices, the switching costs are enormous, and the practices most likely to demand new features (DSOs and modern groups) tend to build internal workarounds rather than wait for vendors to ship.
What changed in 2024 and 2025 is that AI capability finally crossed the threshold where building an AI-native PMS became feasible. Modern LLMs can handle voice charting accurately, understand insurance EDI well enough to scrub claims, and draft clinical notes that dentists actually want to edit. That capability didn't exist three years ago. It exists now, and it gets better every quarter.
The practices that adopt AI-native software early in this transition — the ones in our design partner program right now — are positioning themselves to operate at a different cost structure than their competitors for the next decade. Juno is the bet on that thesis.
The honest framing on outcomes
We don't have published 90-day outcome data yet. We can't honestly claim "practices that switch to Juno see X% improvement in Y" because we haven't yet had practices complete a full pilot cycle. We will have that data starting Q3 2026, when our first cohort of design partners hits their 90-day milestones.
What we have right now is what's described above: live migrations in progress, real practices, real workflows, real targets we're tracking against. When we have outcome data, we'll publish it with named practices, the dentists who run them, and the actual numbers. Until then, the design partner program is open and we're transparent about being in pilot.