Don’t just use it.
Build it.

We are selecting forward-thinking dental practices to co-develop the future of clinical workforce automation.

The Roadmap

Step 1: Month 1

The Blueprint

Deep-dive consultation. We audit your current spreadsheet friction, master your custom clinic rules (rest periods, doctor pairings), and map out your existing PMS architecture.

Step 2: Months 2–3

Deployment & Integration

We connect Dyada with your practice data. You begin generating automated, perfectly balanced schedules in seconds, testing the constraint logic in real-time.

Step 3: Months 4-5

Refinement Loops

Bi-weekly 15-minute feedback syncs. We tweak the user interface, refine the mobile experience for your assistants, and perfect the manual-override logic based on your daily usage.

Step 4: Early 2027

Market Ready & Scaling

Dyada launches across the wider market. Your clinic transitions to our permanent, lifetime-discounted tier, standing as an official founding case study.

Is Your Practice a Fit?

We are keeping this cohort limited to 20 practices to ensure our engineering team can provide white-glove, individual support.
We are looking for:

  • Practices managing 5 or more dental assistants (the threshold where manual scheduling becomes genuinely costly) and DSOs.
  • A management team willing to provide candid, honest feedback on workflows and UI design.

Request an Invitation to the Alpha Cohort

Fill out this form. Our founding team will review your clinic's setup and schedule a brief discovery call if there is a mutual fit.

Are you ready to spend 15 minutes twice a month giving product feedback?

Why Join the Founder’s Circle?

Early Access

Early Access

Deploy the Fairness Engine before the general market release.

Direct Influence

Direct Influence

Balances workload intensity over weeks and the whole month to ensure sustainable performance.

Lifetime Discounts

Lifetime Discounts

Our algorithm identifies and solves the "hardest" shifts first (peak hours/specialty procedures), ensuring 100% doctor support.

Thought Leader Status

Thought Leader Status

Automatically scales workloads for part-time vs. full-time staff.