JSON twin: https://www.healthaidb.com/software/sonio.json
Sonio
Sonio is a cloud-based, AI-powered prenatal ultrasound platform that provides real-time image quality control, automated view/structure detection, and reporting/worklist functionality for OB/GYN ultrasound workflows.
Sonio offers SaaS products (Sonio Detect and Sonio Pro) that use medical-grade AI to detect fetal ultrasound views and anatomical structures, verify standardized quality criteria in real time, generate structured reports, manage DICOM media and worklists, and integrate with hospital IT via HL7/DICOM. Regulatory clearances include FDA 510(k) and CE marking for supported modules.
yes
2020
Isolated multi-region hosting (data can be kept in-region: EU, US, etc.)
P1539
2025-09-07
commercial proprietary
Contact vendor for pricing, demos, and deployment options (no public list prices).
enterprise_quote
2020
Uplink/Edge DICOM receiver appliance or software for on-prem integrations; cloud-hosted SaaS (no customer DB requirement disclosed)
product
1.0
{
"company_name": "Sonio",
"company_url": "https://sonio.ai/",
"company_offices": [
"France",
"United States"
],
"company_founding": "2020",
"product_url": "https://sonio.ai/en/platform/",
"categories": [
"clinical",
"diagnostic",
"imaging",
"patient-facing",
"workflow",
"analytics"
],
"market_segment": [
"enterprise",
"hospital",
"smb"
],
"links": [
"https://sonio.ai/en/",
"https://sonio.ai/en/platform/",
"https://sonio.ai/en/products/",
"https://sonio.ai/en/artificial-intelligence/",
"https://sonio.ai/en/security-regulatory/",
"https://sonio.ai/en/clinical-evidence/",
"https://sonio.ai/en/about-us/",
"https://sonio.ai/news/fda-clearance/",
"https://news.samsung.com/global/samsung-announces-acquisition-of-sonio-to-strengthen-its-leading-position-in-cutting-edge-medical-devices",
"https://www.linkedin.com/company/sonio/"
],
"summary": "Sonio is a cloud-based, AI-powered prenatal ultrasound platform that provides real-time image quality control, automated view/structure detection, and reporting/worklist functionality for OB/GYN ultrasound workflows.",
"description": "Sonio offers SaaS products (Sonio Detect and Sonio Pro) that use medical-grade AI to detect fetal ultrasound views and anatomical structures, verify standardized quality criteria in real time, generate structured reports, manage DICOM media and worklists, and integrate with hospital IT via HL7/DICOM. Regulatory clearances include FDA 510(k) and CE marking for supported modules.",
"target_users": [
"sonographers",
"OB-GYNs / maternal-fetal medicine specialists",
"radiologists reading prenatal exams",
"ultrasound technicians",
"clinical executives/quality managers",
"IT/healthcare informatics teams"
],
"specialties": [
"obstetrics",
"maternal-fetal medicine",
"prenatal ultrasound",
"fetal imaging",
"women's health"
],
"regions_available": [
"United States",
"France",
"European Union (CE-marked)",
"United Kingdom",
"Canada",
"Australia"
],
"languages_supported": [
"English",
"French"
],
"pricing_model": "enterprise_quote",
"pricing_details": "Contact vendor for pricing, demos, and deployment options (no public list prices).",
"license": "commercial proprietary",
"deployment_model": [
"cloud (SaaS)",
"on_premise",
"virtual_private_cloud",
"isolated multi-region"
],
"os_platforms": [
"Web",
"tablet (iOS/Android)",
"mobile (iOS/Android)"
],
"features": [
"AI-assisted fetal ultrasound view detection and quality verification",
"Automated ultrasound report generation (ORU/C-CDA output)",
"Real-time acquisition guidance/feedback during scan",
"Vendor-neutral DICOM ingestion (images, clips, SR)",
"Built-in DICOM SCP receiver and Modality Worklist (MWL)",
"Bidirectional EMR integration (patient demographics, visits)",
"Billing message generation (HL7 DFT with CPT/ICD-10)",
"Clinical guideline management and centralized protocols",
"Study archival and query/retrieve to VNA/PACS (C-Store, Q/R)",
"Clinical business intelligence and real-time dashboards",
"Case review and report workflow for readers",
"Patient-facing image/report sharing (Sonio Share)",
"Audit trails and exam-level metadata capture",
"Multi-site synchronization of patient history and exams",
"Uplink/Edge software for on-prem modality integration"
],
"optional_modules": [
"Sonio Detect (AI view/quality detector)",
"Sonio Pro (reporting/workflow)",
"Sonio Share (patient image/report sharing)",
"Sonio Voice (voice features)"
],
"integrations": [
"EMR systems (bidirectional via connectors)",
"Billing providers (HL7 DFT)",
"VNA / PACS (DICOM Query/Retrieve, C-Store)",
"Ultrasound vendors / modalities (vendor-neutral compatibility)",
"Mirth (connector)",
"IMO (Intelligent Medical Objects)",
"Worklist systems (DICOM MWL)"
],
"data_standards": [
"DICOM",
"DICOM Structured Report (SR)",
"DICOM Modality Worklist (MWL)",
"HL7 v2 (ADT/ORM/ORU/DFT)",
"FHIR",
"C-CDA",
"LOINC",
"ICD-10",
"CPT"
],
"api_available": "yes",
"system_requirements": "Uplink/Edge DICOM receiver appliance or software for on-prem integrations; cloud-hosted SaaS (no customer DB requirement disclosed)",
"compliance": [
"HIPAA",
"EU GDPR",
"HDS (French health data hosting)",
"ISO 13485",
"SOC 2 Type II"
],
"certifications": [
"FDA 510(k) clearance (Sonio Detect)",
"CE Mark (MDR) class IIa (Sonio Detect)",
"ISO 13485",
"SOC 2 Type II"
],
"security_features": [
"encryption at rest and in transit",
"web application firewall (WAF)",
"intrusion detection",
"zero-trust internal controls",
"isolated multi-region deployments"
],
"privacy_features": [
"GDPR compliance",
"published privacy policy",
"data processing controls (region isolation)"
],
"data_residency": "Isolated multi-region hosting (data can be kept in-region: EU, US, etc.)",
"customers": [
"Necker-Enfants Malades University Hospital",
"Community Medical Centers",
"Clinical partners across Europe (unnamed hospital sites)",
"Distribution partner MFine (India)",
"Manager Systems (Brazil)",
"Dynamic Medical Engineering Company (Nigeria)",
"AstriMed (Portugal)"
],
"user_reviews": [],
"ratings": [
"FDA 510(k) clearance for Sonio Detect (Sonio Detect cleared by FDA) - reported in AuntMinnie (2024)",
"Multicenter reader performance study (47 sites) reported Sonio Suspect improved anomaly detection from 69% to 91% (company-cited reader study reported in AuntMinnie)",
"Peer-reviewed publications evaluating Sonio products (multiple studies in Ultrasound/O&G journals, e.g., Wiley Online Library)"
],
"support_channels": [
"email",
"phone",
"demo/request-a-demo (sales contact form)",
"webinars",
"office locations (US/France) for regional support",
"partner/distributor support"
],
"training_options": [
"documentation",
"webinars",
"live_online (remote demos/training)",
"onsite (through distribution partners/implementations)",
"clinical community events / workshops"
],
"release_year": "2020",
"integration_partners": [
"Samsung / Samsung Medison",
"MFine",
"Manager Systems",
"Dynamic Medical Engineering Company",
"AstriMed",
"École Polytechnique (technical/research partner)",
"Prairie (research institute)",
"Deeptech Founders",
"Vendor-agnostic ultrasound manufacturers (integration with major ultrasound vendors)"
],
"id": "P1539",
"slug": "sonio",
"type": "product",
"version": "1.0",
"last_updated": "2025-09-07",
"links_json": {
"self": "https://www.healthaidb.com/software/sonio.json"
}
}