SONU is indicated for the relief of moderate to severe nasal congestion due to allergic and non allergic rhinitis. SONU is a treatment to be used at home by individuals 12 and older. Individual results may vary.
AI-Powered Dental Screening · FDA-Cleared Technology
Your Patient's Face
Is the Ultimate Indicator
of Their Breathing.
Sonu Dental reads the craniofacial signatures of chronic mouth breathing and sleep-disordered breathing — from a brief face scan at your dental chair. Objective, non-invasive, and powered by the world's largest proprietary clinical craniofacial AI dataset.
15K+
Patients in the Sonu clinical dataset
Zero
Radiation — fully non-invasive scan
9+
Craniofacial parameters per scan
<90s
Full phenotype report at chairside
The Silent Epidemic
Mouth Breathing Is
Mouth Breathing Is
Written on the Face
Chronic mouth breathing reshapes the jaw, palate, and midface over years — leaving measurable structural signatures. Your dental chair is where these patterns are seen first, because patients see their dentist more often than any other healthcare provider.
Dentists Are the First Line of Defense
Patients visit their dentist twice as often as their physician. The oral cavity, jaw position, and craniofacial profile are visible at every appointment — making the dental chair the ideal venue for early airway and breathing screening.
The Mouth-Breathing Phenotype
Habitual mouth breathing produces consistent craniofacial signatures: a retruded jaw, a high-arched narrow palate, elongated facial proportions, and reduced nasal airway volume — all visible in the midface and sino-nasal region.
The Sleep Apnea Connection
Obstructive Sleep Apnea affects 1 in 5 adults. Craniofacial structure — jaw retrusion, palatal constriction, and reduced posterior airway space — are among the strongest known structural predictors of OSA risk.
The Gap in Current Practice
Existing tools require X-rays, sleep studies, or CT scans. Questionnaires alone miss structural findings. Sonu Dental closes this gap with validated AI photogrammetry — no radiation, no specialist equipment needed for the initial screen.
54%
of adults with moderate-to-severe OSA have never been diagnosed. Craniofacial morphological screening identifies at-risk patients years before symptoms become severe — enabling earlier referral and intervention.
3–5×
higher OSA risk in patients with jaw retrusion, maxillary constriction, and an adenotonsillar phenotype — all detectable from a surface face scan at your chair.
Sources: American Academy of Sleep Medicine; Cistulli et al., Chest 1996; Kazmouz et al., J Craniomaxillofac Surg 2025
Facial Morphology Parameters
Two Regions. Nine Signals.
Two Regions. Nine Signals.
One Complete Airway Picture.
Sonu Dental analyzes a validated panel of craniofacial measurements organized across two anatomical zones — the midface and the sino-nasal complex — to deliver a comprehensive, objective phenotype report without a single X-ray.
Midface Parameters
Jaw projection, facial proportions & skeletal form
Jaw Projection & Profile Angle
Assesses the forward position of the mandible relative to the upper facial skeleton. A retruded jaw — one of the strongest predictors of posterior airway compromise — is classified from the facial surface profile angle at the nasion, subnasale, and pogonion.
OSA PredictorFacial Taper Index
The ratio of jaw width to cheekbone width. A convergent or tapering facial form — where the jaw is narrow relative to the cheeks — is closely correlated with maxillary constriction and a Class II bite pattern linked to airway compromise.
Arch Constriction SignalFacial Convexity
The curvature of the profile from forehead to chin via the nasal bridge. A convex profile indicates skeletal jaw retrusion and is a reliable photogrammetric marker of underlying Class II skeletal relationships.
Skeletal Class MarkerVertical Face Height Ratio
The proportion of the lower face relative to total facial height. A disproportionately long lower face is a hallmark of the dolichofacial growth pattern and open-mouth resting posture associated with chronic mouth breathing in both children and adults.
Vertical Growth IndexBizygomatic–Bigonial Relationship
Compares the width of the cheekbones to the width of the jaw angles. This proportional index distinguishes tapering from broad jaw forms and classifies craniofacial type relevant to both airway risk and bite classification.
Facial Form ClassificationSino-Nasal Parameters
Nasal form, airway geometry & dynamic flow
Nasal Alar Base Width
The external width of the nostril openings at their base. A narrow alar base relative to facial width is associated with reduced nasal airway inlet capacity and drives compensatory mouth breathing over time.
Nasal Inlet GeometryNasal Alar Adhesion Form
Captures the structural attachment geometry of the alar wings — an anatomically stable measurement that reflects nasal airway structure even when soft tissue varies with weight changes or facial fullness.
Structurally Stable LandmarkMidface Height (Nasal Bridge to Nasal Base)
Vertical midface height from the nasal bridge to the base of the nose. An elevated midface height in proportion to facial width signals vertical growth excess — a hallmark of the classic adenoid facies and chronic open-mouth posture.
Adenoid Facies MarkerInter-Orbital Reference Width
The distance between the inner corners of the eyes — a stable, bony-referenced anchor point used to normalize all other facial measurements and ensure accurate proportional analysis across different face sizes and shapes.
Normalization AnchorOSA Composite Risk Score
An AI-weighted composite of all midface and sino-nasal parameters, sex-adjusted and population-normalized, producing a calibrated probability of clinically significant sleep-disordered breathing for referral decision support.
AI Composite · Calibrated
Dynamic Nasal Function · Sonucheck Technology
Introducing the Personal Nasal Flow Index (PNFI)
Static facial measurements tell you about structure. The PNFI tells you about function. Powered by Sonucheck technology, PNFI measures dynamic nasal resistance in real time — quantifying how much air actually moves through each nasal passage during normal breathing. A patient can have anatomically narrow nares and still compensate adequately; another can have average anatomy with severe functional obstruction. PNFI captures both: the structural signature and the physiological consequence, together in a single chairside assessment — completing the mouth-breathing phenotype picture.
PNFI Measurement
Dynamic Nasal Resistance
Technology
Sonucheck · Real-Time
Clinical Value
Structure + Function
Output
Lateralized Flow Index
The Intelligence Behind the Screen
CT-Accurate AI Trained on
CT-Accurate AI Trained on
the World's Largest Living
Craniofacial Dataset
Sonu Dental's phenotyping engine is trained on proprietary clinical data from over 15,000 patients treated with the FDA-cleared Sonu device, cross-validated against CT imaging and real-world treatment outcomes — a depth of clinical evidence unmatched in dental AI.
Proprietary Craniofacial Foundation Model
Trained exclusively on sinonasal and craniofacial patient data with CT ground-truth annotation. Every angle and proportion is calibrated against bony skeletal reference measurements — not just soft-tissue approximations.
A Living Dataset — Continuously Improving
The dataset grows with every consented clinical scan. Real-world feedback loops from Sonu device treatment outcomes mean model accuracy and generalizability improve continuously across diverse patient populations.
Reproducible Across Operators and Visits
Every clinical measurement is mapped to validated facial geometry references, enabling consistent landmark precision across different clinicians and scan sessions — no calibration equipment or specialist training required.
Sino-Nasal Disease: Proven Clinical Outcomes
The dataset was built through the treatment of chronic rhinosinusitis and nasal obstruction — giving the AI direct exposure to the craniofacial morphologies associated with airway compromise at a scale unmatched in dental AI.
Bony-Stable + Soft-Tissue Ensemble
The OSA risk score blends a bony-landmark model (insensitive to BMI and soft-tissue variation) with a proportional soft-tissue model — achieving the highest validated accuracy across the clinical cohort.
Dataset & Validation Summary
Clinical Dataset Size>15,000 patients
Ground-Truth ValidationPaired CT + PSG
Regulatory StatusFDA-Cleared (Sonu)
Radiation DoseZero · Non-invasive
Chairside Scan Time< 90 seconds
PNFI IntegrationSonucheck · Dynamic
Model ArchitectureBony + Soft Ensemble
FDA-Cleared · Sonu Device
Validated through clinically proven sino-nasal disease treatment across >15,000 active users
Clinical Workflow
From Appointment to
From Appointment to
Actionable Insight in Four Steps
1
Pre-visit Scan at Home
Open Sonu Dental on any compatible mobile device. A brief, guided facial scan — under 90 seconds — captures the patient's craniofacial profile with clinical precision. No extra hardware needed.
2
AI Landmark Mapping
The craniofacial AI engine identifies and maps all clinical landmarks, computing midface and sino-nasal measurements, proportional indices, and profile angles against population norms in real time.
3
PNFI + Phenotype Score
Sonucheck PNFI adds dynamic nasal resistance to the structural findings. The ensemble model classifies the patient's mouth-breathing risk and OSA probability with calibrated confidence.
4
Clinical Report & Pathway
A structured report flags abnormal findings, suggests referral pathways (ENT, sleep medicine, orthodontics), and documents findings for the patient record — ready to share at chairside.
For Every Side of the Chair
Designed for Clinicians.
Designed for Clinicians.
Clear Enough for Patients.
For General Dentists & Specialists
Add Objective Airway Screening to Every New-Patient Exam
Sonu Dental integrates into your existing workflow without disrupting it. One brief scan at the start of an appointment delivers a structured craniofacial phenotype report — backed by peer-reviewed literature and CT-validated AI — before you've even picked up an explorer.
- Identify jaw retrusion, narrow arch forms, and dolichofacial growth without X-rays
- PNFI adds real-time dynamic nasal function to the structural picture
- Objective, reproducible measurements reduce inter-examiner variability
- Structured reports integrate into your EHR and support documentation
- Build a more comprehensive view of patient health at every recall visit
- Strengthen referral relationships with ENT, sleep medicine, and orthodontic colleagues
For Patients
Find Out if Your Face Is Telling a Story You Haven't Heard
You may snore, feel tired despite a full night's sleep, wake with a dry mouth, or have been told you stop breathing at night. These symptoms often start in the structure of the face and jaw — and your dentist is now equipped to spot them earlier than ever before.
- No needles, no X-rays, no discomfort — just a brief face scan at your appointment
- Understand if your jaw or nasal airway may be contributing to breathing problems
- Receive a clear, plain-language explanation of your facial breathing profile
- Get referred to the right specialist at the right time, before problems worsen
- Results are documented and shareable with your other healthcare providers
- Your data is protected and used only to improve care for patients like you
Evidence Base
Built on Peer-Reviewed Science
Every parameter, threshold, and classification model in Sonu Dental is grounded in published craniofacial, orthodontic, and sleep medicine literature. The following references represent the core evidence base for the phenotyping framework.
1
Kazmouz S, Calzadilla N, Choudhary A, McGinn LS, Seaman A, Purnell CA.
Radiographic findings predictive of obstructive sleep apnea in adults: A systematic review and meta-analysis.
Journal of Cranio-Maxillofacial Surgery. 2025;53(2):162–180. ISSN 1010-5182. doi:10.1016/j.jcms.2024.11.003
↗ View Article
2
Cistulli PA, Richards GN, Palmisano RG, Unger G, Berthon-Jones M, Sullivan CE.
Influence of maxillary constriction on nasal resistance and sleep apnea severity in patients with Marfan's syndrome.
Chest. 1996;110(5):1184–1188. doi:10.1378/chest.110.5.1184
↗ PubMed
3
Lowe AA, Fleetham JA, Adachi S, Ryan CF.
Cephalometric and computed tomographic predictors of obstructive sleep apnea severity.
American Journal of Orthodontics and Dentofacial Orthopedics. 1995;107(6):589–595. doi:10.1016/S0889-5406(95)70101-X
↗ PubMed
4
Sutherland K, Lee RWW, Cistulli PA.
Obesity and craniofacial structure as risk factors for obstructive sleep apnoea: impact of ethnicity.
Respirology. 2012;17(2):213–222. doi:10.1111/j.1440-1843.2011.02082.x
↗ PubMed
5
Flores-Mir C, Korayem M, Heo G, Witmans M, Major MP, Major PW.
Craniofacial morphological characteristics in children with obstructive sleep apnea syndrome: a systematic review and meta-analysis.
Journal of the American Dental Association. 2013;144(3):269–277. doi:10.14219/jada.archive.2013.0113
↗ PubMed
6
Johal A, Battagel JM.
An investigation into the changes in airway dimension and the efficacy of mandibular advancement appliances in subjects with obstructive sleep apnoea.
British Journal of Orthodontics. 1999;26(3):205–210. doi:10.1093/ortho/26.3.205
↗ PubMed
7
McNamara JA Jr.
Components of Class II malocclusion in children 8–10 years of age.
Angle Orthodontist. 1981;51(3):177–202. doi:10.1043/0003-3219(1981)051<0177:COCIM>2.0.CO;2
↗ PubMed
8
Vig KWL.
Nasal obstruction and facial growth: the strength of evidence for clinical assumptions.
American Journal of Orthodontics and Dentofacial Orthopedics. 1998;113(6):603–611. doi:10.1016/S0889-5406(98)70219-7
↗ PubMed
9
Arens R, McDonough JM, Costarino AT, et al.
Magnetic resonance imaging of the upper airway structure of children with obstructive sleep apnea syndrome.
American Journal of Respiratory and Critical Care Medicine. 2001;164(4):698–703. doi:10.1164/ajrccm.164.4.2101051
↗ PubMed
10
Huang YS, Guilleminault C.
Pediatric obstructive sleep apnea and the critical role of oral-facial growth: evidences.
Frontiers in Neurology. 2012;3:184. doi:10.3389/fneur.2012.00184
↗ PubMed
11
Tangugsorn V, Skatvedt O, Krogstad O, Lyberg T.
Obstructive sleep apnoea: a cephalometric study. Part I. Cervico-craniofacial skeletal morphology.
European Journal of Orthodontics. 1995;17(1):45–56. doi:10.1093/ejo/17.1.45
↗ PubMed
12
Bacon WH, Turz A, Krieger J, Stierle JL.
A cephalometric and fibroscopic comparison between obstructive sleep apnea and partial obstruction of the upper airway.
Chest. 1988;94(6):1149–1156. doi:10.1378/chest.94.6.1149
↗ PubMed
Start Screening Today
Your Patients Are Showing You Signs.
Your Patients Are Showing You Signs.
Now You Have a Tool to Read Them.
Join the growing network of airway-aware dental practices using Sonu Dental to identify at-risk patients earlier, support better referrals, and build a more comprehensive model of patient health — one face at a time.