From air ambulance services to rural emergency care, our ultrasound diagnostic suite delivers hospital-grade interpretation of the lungs and torso directly to care providers and first responders across pre-hospital settings. In these settings, where resources are limited and definitive care may be far away, the ATLAS platform enables non-invasive detection of multiple conditions without the need for chest X-ray and with reduced sensitivity to motion-related interference, even while in transit.

Access to advanced diagnostic capabilities is often limited, as accurate assessment typically depends on highly specialized personnel and hospital-based imaging such as chest X-ray. First responders arriving at remote or pre-hospital rescue scenes must make rapid decisions to deliver appropriate care, often with incomplete diagnostic information. Decisions around transport to higher-level care facilities are highly time-sensitive and depend on early assessment of the patient’s condition. Without immediate and reliable diagnostic support, care delivery can place strain on resources and workflows and may increase risk to patient outcomes.
Designed for non-expert users and tested across various operational environments, our platform delivers real-time ultrasound interpretation despite motion, altitude changes, and limited connectivity, enabling accurate point-of-care diagnostics without chest X-ray or advanced POCUS training. Our software has been evaluated on performance and reliability in a range of unconventional pre-hospital settings, from various ground vehicles and in-flight environments, to reduced-gravity conditions.
Integrated directly into first-response point-of-care workflows, the platform supports immediate triage assessment, increases confidence in decision-making, and helps enhance patient care regardless of operational conditions.
ATLAS brings portable, motion-tolerant diagnostic interpretation that can support workflows to fast-paced, resource-limited environments. Our platform is built to integrate into first-response workflows, enabling more timely assessments and increased confidence in clinical decision-making. These insights highlight the platform’s potential to support earlier triage decisions, reduce reliance on delayed or off-site diagnostics, and enhance patient care in pre-hospital and other constrained operational settings.