Soliish, Inc.


Developer of a selfie-based, AI-powered facial biometrics screening platform for early identification and triage of obstructive sleep apnea (OSA) risk. The company combines deep-learning models trained on clinical datasets with API-driven integrations to embed objective, rapid screening into telehealth, dental, primary care, employer, and population-health workflows. The platform is marketed as a screening and routing tool (not a diagnostic device) and includes data-protection and biometric-consent policies aligned with HIPAA and GDPR.

Industries

N/A

Nr. of Employees

small (1-50)

Soliish, Inc.

HQ: Reston, VA; R&D: Cupertino, CA, USA


Products

AI-powered facial screening tool for OSA risk

A clinical screening tool that analyzes a frontal face image to assess craniofacial risk markers and outputs a low/moderate/high risk classification to guide follow-up testing and care.


Services

Web-accessible facial-image screening that returns an immediate OSA risk score and guidance for clinical follow-up; no app or special hardware required.

API and embedding options to integrate screening into existing EHRs, intake systems, telehealth platforms, or partner domains with co-branding or full white-labeling.

Design and deployment support for large-scale screening initiatives across employers, payers, schools, and community programs.

Expertise Areas

  • AI-driven diagnostic screening
  • Facial biometrics and craniofacial analysis
  • Clinical validation of screening algorithms
  • EHR and telehealth integration
  • Show More (4)

Key Technologies

  • Facial biometrics
  • Deep learning for image analysis
  • Machine learning trained on clinical datasets
  • API-based integration
  • Show More (3)

News & Updates

Article describing the clinical basis for craniofacial markers in OSA risk and the role of anatomy-aware, AI-enhanced screening in clinical and non-sleep settings.

Overview of advances in facial biometrics and AI for scalable, objective OSA screening and discussion of clinical evidence supporting image-based prediction.

Discussion of deploying AI-based facial screening at population scale and the implications for equitable access and personalized follow-up.

Company statement that 100+ organizations use the screening platform to identify high-intent patients.

Claims of up to 60% reduction in manual administrative workload across onboarding and a 3x increase in qualified patient referrals for providers.

Head of Research listed with 21 issued U.S. patents related to computer vision and related technologies.


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