Built for clinical accuracy, speed, and de-identification. Discover Veltneon's six specialized radiology products.
Function: Evaluates chest radiographs for pulmonary nodules, infiltrates, pleural effusion, and pneumonia signs. Uses local NVIDIA H100 matrix multiplication arrays to parse scans.
Use Case: Emergency triage screening, assisting clinicians with instant anomaly classification overlays on lung fields.
Function: Scans appendicular skeletal X-rays to locate fractures, hairline cracks, and dislocations. Highlights micro-trauma regions that are easily overlooked.
Use Case: Orthopedic trauma clinics, accelerating read speeds for skeletal x-rays in busy urgent care corridors.
Function: Secure DICOM router gateway routing images locally. Strips demographic metadata headers inside local hospital subnets prior to model analysis.
Use Case: Information security compliance, maintaining patient confidentiality by isolating scans from public internet transfer nodes.
Function: PACS reading queue triage manager. Monitors incoming DICOM routing queues and promotes critical findings (such as pneumothorax) to the top of PACS lists.
Use Case: Emergency department diagnostic workflows, ensuring life-threatening conditions receive immediate radiologist reads.
Function: Epic/Cerner API writeback connector. Converts validated radiological alerts and segmentation bounds into FHIR resources for secure EHR updates.
Use Case: Clinician document management, automatically drafting structural findings inside patient charts to reduce manual typing.
Function: Executive reporting aggregator dashboard. Evaluates ward scan trends, patient diagnostic profiles, readmission ratios, and radiologist review times.
Use Case: Radiology department management, tracking system efficiency metrics, validation rates, and operational throughput.
Our projected release cycle for the six Auravita products, demonstrating clinical progression from private beta to global deployment.
Founded Veltneon Inc. in Chicago. Initialized development of our DICOM router de-identification gateway and compiled our core chest radiograph segmentation networks. This established our zero-knowledge local container pipeline.
Completing private beta trials across three clinic partners to launch ChestScan and FractureDetect to health networks. Releasing clinical validation datasets showing 96.4% diagnostic sensitivity. Preparing the local H100 GPU installer.
Deploying WorklistPriority in emergency room trials to test automated triage alert priority routing. Filing for FDA Class II diagnostic guidance clearances for acute X-ray segmentations. Finalizing integration with regional PACS directories.
Integrating EHR-Bridge write-backs inside Epic/Cerner workflows for direct FHIR record updates. Launching CohortAnalytics to help administrators track institutional diagnostic workloads. Establishing federated learning for on-site updates.
Work with our integration engineers to upload anonymous DICOM files and check model latency inside a sandbox loop.