The startup develops an ophthalmology intelligence platform that collects, organizes, and analyzes ocular health data to facilitate precision medicine for ophthalmic and neurological diseases. By streamlining workflows for clinics, researchers, and pharmaceutical companies, the platform enhances decision-making for healthcare professionals and patients.
Funding
$16.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Ophthalmology clinics, researchers, and pharmaceutical companies face challenges in managing and analyzing the increasing volume and complexity of ocular health data. Data often resides in disparate systems, hindering comprehensive insights and efficient workflows needed for precision medicine.
Solution
RetinAI provides an ophthalmology intelligence platform, Discovery, designed to streamline data management and enhance decision-making. The platform aggregates and harmonizes data from various sources, including DICOM-compliant and proprietary formats, into a single ecosystem. Certified AI models automatically analyze the data to extract insights on disease progression, treatment outcomes, and patient progression prediction. The platform offers secure, cloud-based access, enabling global collaboration and real-time data access for authorized users.
Target Audience
The primary customers are ophthalmologists, optometrists, clinical researchers, and pharmaceutical companies seeking to improve clinical workflows, accelerate research, and develop precision medicine approaches for ophthalmic and neurological diseases.
Features
- Vendor-neutral platform compatible with DICOM, fundus images, OCTs, PDFs, and other image formats
- CE-marked AI models for layer and fluid segmentation, and quantification of retinal pathologies
- AI-powered analysis of OCT volumes for volumetric analysis and biomarker identification
- Real-time collaboration tools for secure data sharing with customizable permission levels
- Natural language search for identifying patient cohorts based on target-based enrollment criteria
- Integration with Heidelberg AppWay for access to disease evaluation apps
- Compliant with EU GDPR, HIPAA, and Canadian PIPEDA rules for data privacy and security