deepc provides deepcOS, an operating system for radiology AI that centralizes deployment, orchestration, and integration of various AI solutions. This platform streamlines clinical workflows by securely connecting AI models to existing healthcare IT systems. The value lies in offering a scalable, unified infrastructure for building, evaluating, deploying, and monitoring medical imaging AI applications.
Funding
$13M 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
Radiology departments face challenges in integrating and managing diverse AI solutions within their existing healthcare IT infrastructure. This complexity can lead to fragmented workflows, increased reporting times, and difficulties in ensuring data privacy and regulatory compliance. Evaluating and deploying AI algorithms at scale requires significant IT resources and expertise.
Solution
deepcOS provides a cloud-native AI operating system designed to streamline radiology workflows by integrating and orchestrating AI solutions from various vendors. The platform connects to existing healthcare IT systems, automating parts of the reporting process to reduce scan-to-report times. Its features include secure data handling, AI performance evaluation, and seamless integration of AI results into existing interfaces like PACS and RIS/EMR. deepcOS offers a centralized platform for managing AI solutions, ensuring scalability, security, and compliance with data privacy regulations.
Target Audience
The primary target audience includes radiologists, healthcare management, IT departments, data protection officers, medical research groups, AI partners, and HIT system providers.
Features
- Cloud-native platform for scalable and cost-effective deployment of radiology AI
- AI Marketplace offering access to over 50 commercial AI solutions from leading vendors
- Orchestration engine that automatically routes scans to the appropriate AI solution based on DICOM tags or AI
- Clinical integrations via API to embed AI results within existing radiology workflows and viewers
- AI Evaluator tool for comparing the performance of different AI solutions on the same use case
- Secure on-premise infrastructure (deepcOS Gate) for connecting to existing hospital IT systems
- Data privacy measures including on-premise data de-identification, cloud-hosting, encryption, and GDPR compliance
- AI-integrated worklist with embedded clinical findings and priority flagging of urgent studies