SmileMatch
Media & Stakeholder Hub
Media & stakeholdersFounder-ledEvidence-first

Dentistry needs an operating system — not more apps.

SmileMatch combines a structured Treatment Plan Generator (TPG), a smart patient–dentist matching platform, and a clinic operating academy to make complex dental care clearer, more consistent, and more defensible.

Press Kit (PDF)
Time saved
250–500 hrs/yr
Structured clinical logic
Case-aware routing
Focus
High-value cases
Structured logic AI-safe architecture Matching + network
Media quick facts
  • TPG is not a prompt — TPG is designed for structured, clinician-led treatment planning.
  • Matching focuses on cases where dentist choice changes outcomes (esthetic, complex, cross-border).
  • Academy standardizes planning logic + workflows so adoption sticks inside real clinics and DSOs.
  • Founder-led, evidence-first. Built for clarity, trust, and defensibility.
60-second overview

Three components. One unified system.

Treatment Plan Generator (TPG)
Clinical reasoning
  • Turns findings into a professional plan in minutes
  • Standardized sequencing + defensible documentation
  • Evidence/rationale sections supported by your knowledge base
Matching Platform
Case routing
  • Pre-qualifies cases so clinics see fewer low-fit enquiries
  • Matches goals + complexity + preferences to the right clinician
  • Built for high-value cases (esthetic/complex/cross-border)
SmileMatch Academy
Standardization
  • Teaches planning logic, workflows, risk prevention, communication
  • Reduces onboarding friction and support load
  • Creates consistent standards across clinics and DSOs
why this matters

The problem is structural — not a skill issue

Defensibility
Standardized planning logic reduces medico-legal risk and improves documentation quality across teams.
AI done safely
Generic AI tools struggle with consistency and clinical safety. SmileMatch is built to support structured decision-making in real clinics.
Higher-value cases
Matching focuses where dentist choice changes outcomes: esthetics, complex cases, revisions, cross-border care.
for editors

Editorial angles

Why treatment plans fail before treatment starts
Dentistry doesn’t lack skill — it lacks consistent, explainable planning pathways that align expectations and reduce medico-legal risk.
AI text is not clinical reasoning
Generic AI can write. It can’t enforce sequencing or contraindications. SmileMatch uses structured knowledge to stay safe and consistent.
Dental tourism needs trust infrastructure
Cross-border esthetic cases are high value and high risk. Structured intake + matching reduces misalignment and increases conversion.
Standardization without killing autonomy
A clinical OS can give teams shared logic while allowing clinicians to personalize care — a key problem for DSOs and multi-clinic groups.
for podcasts & columns

Topics I speak and write about

Treatment planning & clinical reasoning
Esthetics & optical illusions
Patient psychology & expectation management
Workflow design & productivity
AI in dentistry (beyond the hype)
Matching patients to the right dentist
press kit

Press-ready assets

Press Kit (PDF)
One-page story sheet, founder quote box, product summary, logos, and key facts.
Open
Press Photos (ZIP)
Potraits, Clinical photos and Logos.
Open
Expert Profile (PDF)
Media bio + credentials + collaboration topics.
Open
Founder

Dr. Sami Savolainen, DDS

Cosmetic dentist (20+ years). Building SmileMatch to make treatment planning and patient journeys clearer, more consistent, and more explainable.

Quote for editors: “Dentistry doesn’t fail due to lack of skill. It fails when planning and expectations are inconsistent. SmileMatch brings structure to the most complex decisions.”
Contact

For interviews, partner discussions, or early pilot clinics.

Emailsupport@smilematch.ai
AvailabilityGlobal (remote)
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