Company Overview

Instant Diagnostic Clarity. Accelerated by NVIDIA H100.

Veltneon builds local GPU-accelerated radiology pipelines that parse X-rays and detect abnormalities instantly.

Dr. Olivia Vance, MD

CO-FOUNDER & CEO, VELTNEON

Message from the CEO

Our Core Thinking

"During my emergency residency, I saw patients waiting hours for simple X-ray interpretations, while clinicians typed reports under intense time pressures. Veltneon was founded on June 25, 2025 to solve this software friction. We construct local GPU pipelines that deliver instant diagnostic clarity directly to PACS queues, giving clinicians their time back and protecting patient security."

We are currently in a private beta phase, validating model accuracy, PACS routers, and Epic/Cerner EHR APIs with initial pilot networks, working toward our public launch on September 16, 2026.

Our Mission

"Accelerate better patient outcomes by giving clinicians and health systems AI tools that surface insight from complex medical data faster and more accurately."

Our Vision

"A future where every clinical decision is supported by AI that is safe, explainable, and seamlessly integrated into care workflows — without adding burden to already-stretched clinicians."

Who We Serve & Target Market

Veltneon targets regional healthcare corridors, community radiology networks, and clinical imaging hubs experiencing reading backlog spikes.

We serve emergency medicine physicians, orthopedic clinics, and trauma ward directors who require instant skeletal and chest pathology screenings to prioritize queue workloads.

Why Veltneon Wins

Standard clinical software depends on public cloud transfers. We run convolutional networks locally on dedicated **NVIDIA H100 GPUs**.

✓ On-Premise Isolation: Zero telemetry data routed to external public networks.
✓ PACS Priority Routing: Urgent anomalies promote to the top of PAC lists instantly.
✓ HIPAA Security Node: Automated PHI scrubbing inside local hospital network bounds.

Technology Integration

How We Use NVIDIA Today — and Tomorrow

Our deep partnership with NVIDIA accelerates radiology workflows and sets the foundation for secure clinical federations.

NVIDIA H100 Accelerated (Today)

Currently, Veltneon runs models natively on local H100 GPU hardware nodes. We compile workflows via CUDA 12.4, cuDNN deep learning libraries, and TensorRT serializers to achieve sub-300ms inference times. Containerization inside NVIDIA NIM ensures microservice security inside client subnets.

Privacy-Safe Federation (Tomorrow)

In the future, we will utilize NVIDIA federated learning paradigms to train and tune radiology weights. This will allow models to update parameters across collaborating clinical networks locally, keeping sensitive patient DICOM images completely isolated inside their hospital corridors.

Our Team

Leadership & Clinical Development

Combining expertise in trauma medicine, computer vision engineering, and clinical network security.

Dr. Olivia Vance, MD

Co-Founder & CEO

Board-certified emergency physician directing clinical validation and BAA compliance.

Marcus Sterling

Co-Founder & CTO

AI hardware specialist managing CUDA pipelines and dedicated H100 local arrays.

Dr. Arthur Pendelton, MD

Clinical Validation Lead

Former chief radiologist coordinating reader testing panels and model validation benchmarks.

Dr. Clara Oswald, PhD

Lead DL Researcher

Developing convolutional neural networks optimized for high-resolution DICOM arrays.

Sarah Chen

PACS Integration Architect

Configuring local PACS storage routers and DICOM metadata scrub filters.

James Carter

Senior EHR Developer

Developing write-back connectors to Epic App Orchard and Cerner sandboxes.

Elena Rostova

Director of compliance

Auditing client BAA setups, access controls, and HIPAA security profiles.

David Miller

Lead Front-End Engineer

Refining the Auravita dashboard panel layout to match physician workspaces.

Maria Santos

Clinical Coordinator

Coordinating beta pipeline updates and diagnostic feedback loops with clinics.

Milestones

Veltneon Inception to 2030 Roadmap

Our long-term operational timeline details product upgrades and clinical validations up to 2030.

June 25, 2025 — COMPLETED

PACS-Link & ChestScan Core Architecture

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.

September 16, 2026 — Public Release

ChestScan & FractureDetect Launch

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.

Late 2027 — Regulatory Milestones

WorklistPriority & FDA De Novo Clearance

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.

2030 — Global Scale

EHR-Bridge, CohortAnalytics & Federated Networks

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.