DeepTek provides a cloud‑based AI platform that automatically analyzes chest X‑ray images to detect multiple pathologies such as tuberculosis, pleural effusion, cardiomegaly, and pulmonary nodules. Integrated with existing PACS and radiology workflows, the solution delivers real‑time predictions, visual heat‑maps, and structured reports to help radiologists prioritize cases, reduce turnaround time, and support large‑scale screening programs. The platform is FDA‑cleared, CE‑certified, and WHO‑recommended, ensuring regulatory compliance for hospital radiology departments, teleradiology providers, and public‑health agencies.
Funding
$10M 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.
1OTCFounders
Product
Problem
Radiology departments face high imaging volumes and limited radiologist capacity, leading to delayed reports and variable diagnostic accuracy, especially for chest X‑ray screening of diseases such as tuberculosis and other pulmonary conditions.
Solution
DeepTek offers a cloud‑based AI platform that automatically analyzes chest X‑ray images to detect a range of pathologies, including tuberculosis, pleural effusion, cardiomegaly, and pulmonary nodules. The system integrates with existing PACS and radiology workflows, providing real‑time predictions and visual explanations that assist radiologists in prioritizing cases and reducing reporting turnaround time. DeepTek’s solutions have received US FDA clearance, CE MDR Class IIb certification, and WHO recommendation for TB screening, ensuring compliance with regulatory standards. By delivering consistent, high‑sensitivity detection across diverse populations, the platform supports both clinical decision‑making and large‑scale public‑health screening programs.
Target Audience
Primary customers are hospital radiology departments, teleradiology service providers, and public‑health agencies conducting chest‑X‑ray screening programs for tuberculosis and other pulmonary diseases.
Features
- AI models trained on millions of annotated chest X‑ray studies for multi‑disease detection, including TB, pleural effusion, cardiomegaly, and pulmonary nodules
- Seamless integration with PACS, RIS, and teleradiology platforms via standard DICOM and API connectors
- Real‑time inference with heat‑map visualizations that highlight regions of interest for expert review
- Cloud‑hosted SaaS architecture with encrypted data transmission and storage to meet HIPAA, GDPR, and EU MDR requirements
- Automated reporting templates that generate structured findings and severity scores for rapid radiologist validation
- Continuous model monitoring and updates through a responsible AI framework that incorporates expert‑in‑the‑loop feedback