10x

AI Sales Teams for Dental Practices

3.9Score#173 of 999 agents#6 of 18 in Care coordinator

Why it ranks #173

10x, an AI care coordinator from YC W25, ranks #173 of 999 AI agents and #6 of 18 in Care coordinator, with a score of 3.9 of 10. Data as of 3 Oct 2026.

The score adds four parts, each 0 to 10, by weight. Every point comes from public evidence. How scoring works ·

Proof 2 × 30% 0.6
Scale 2 × 30% 0.6
Momentum 7 × 25% 1.8
Autonomy 6 × 15% 0.9
= 3.9

Proof
Do customers use it? 30% of the score
2
Claims a customer result.
- +2
  A customer result
  “For a practice in Miami, we’re generating >$30k/month in incremental revenue.”
  Launch YC post · 29 Apr 2026 · 2 claims
Not found: revenue or growth (+4), named customers (+3), a customer count (+2), work done at scale (+2)
Scale
Is there a real company behind it? 30% of the score
2
3 people.
- +2
  3 people on its YC page3 or 4 people
Not found: funding round in its news (+3)
Momentum
Is it shipping and growing now? 25% of the score
7
Shows a recent launch, hiring and a new claim.
- +3
  Launched in the last 6 months10x: AI sales teams for dental practicesLaunch YC post · 29 Apr 2026
- +2
  Hiring: 1 open role🦷 Founding Engineer at 10x Dental (YC W25)YC page
- +2
  A new traction claim
  “For a practice in Miami, we’re generating >$30k/month in incremental revenue.”
  Launch YC post · 29 Apr 2026
Not found: funding news in the last year (+2), a batch in the last year (it is YC Winter 2025) (+1)
Autonomy
How much of the job does it do on its own? 15% of the score
6
Supervised agent: takes actions in other systems; a person approves key steps.
- +6
  Level 2 of 4: Supervised agentTakes actions in other systems; a person approves key steps.
What the model read
- Acts in other systems: 94% likely
- Finishes whole tasks: 40% likely
- Calls itself an agent: 9% likely
Level 2: Takes actions in other systems; a person approves key steps.

About 10x

10x helps dental practices turn missed revenue opportunities into booked appointments. We connect to a practice’s patient database, identify overdue recalls, lapsed patients, and unscheduled treatment plans, then use AI calling and texting to bring those patients back into the chair.