The startup provides a modular medical imaging platform that uses a high‑sensitivity CMOS sensor and AI‑enhanced reconstruction to deliver ultra‑high‑definition, multi‑spectral images with reduced radiation dose. The hardware mounts onto existing X‑ray, CT, or ultrasound systems and outputs DICOM‑compatible data for PACS or cloud analytics, improving diagnostic confidence for radiology departments and research labs.
Funding
Funding not disclosed
CFFounders
Product
Problem
Clinical imaging often suffers from suboptimal resolution, limited contrast, and high noise levels, which can obscure subtle pathology and lead to diagnostic uncertainty. Existing hardware platforms may also require extensive calibration and generate higher radiation doses, constraining workflow efficiency and patient safety.
Solution
The company offers a medical imaging platform built around a proprietary high‑sensitivity sensor array that captures ultra‑high‑definition images across multiple spectral bands. By integrating advanced on‑device signal processing and AI‑driven reconstruction algorithms, the system delivers clearer visualization of tissue structures while reducing exposure time. The hardware is designed as a drop‑in module compatible with standard imaging suites, enabling seamless adoption without major infrastructure changes. Data are exported in DICOM format and can be streamed to PACS or cloud‑based analytics pipelines for further interpretation. This combination of superior image fidelity and streamlined workflow supports clinicians in making more confident diagnoses.
Target Audience
Primary customers are radiology departments, diagnostic imaging centers, and hospital networks seeking higher‑quality imaging tools for routine and specialized examinations. The solution also serves research institutions that require precise visualization for clinical studies.
Features
- Proprietary CMOS sensor with >90% quantum efficiency and low read noise for high‑resolution, low‑dose imaging
- Multi‑spectral capture (visible, near‑infrared) enabling enhanced tissue contrast and functional assessment
- Real‑time AI‑enhanced reconstruction pipeline that reduces motion artifacts and improves signal‑to‑noise ratio
- Modular hardware design that mounts onto existing X‑ray, CT, or ultrasound platforms with minimal calibration
- Full DICOM‑compliant output and PACS integration via secure HL7/FHIR interfaces
- Built‑in radiation dose monitoring and automatic exposure optimization
- Remote firmware updates and diagnostic telemetry through encrypted cloud connectivity