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FAQs

1. Who are we?

We are a healthcare technology company building edge-native, real-time infrastructure that helps clinicians interact with physical environments more efficiently and reliably. Our focus is reducing workflow friction in high-acuity clinical settings.

2. What problem are we solving?

In hospitals, clinicians lose critical time searching for supplies, navigating fragmented systems, and compensating for broken workflows. These inefficiencies increase cognitive load, delay care, and contribute to operational strain—especially in time-sensitive environments like ICUs and EDs.

3. What does our technology do?

Our technology enables spoken intent to trigger immediate, spatially precise guidance within clinical environments. The system operates locally, responds in real time, and integrates directly into physical infrastructure such as supply rooms and storage areas.

4. Is this an AI product?

Yes—but it is AI embedded into infrastructure, not cloud-based analytics or retrospective decision support. The system uses on-device intelligence to respond instantly and predictably, without relying on external servers.

5. Does our system make clinical decisions?

No.

The system does not diagnose, treat, or recommend clinical actions. Clinicians remain fully in control at all times. The technology supports workflow and navigation, not medical decision-making.

6. Why is on-device (edge) operation important?

Edge operation ensures:

  • Deterministic, low-latency response
  • No dependence on network connectivity
  • Strong privacy protections
  • Reliable performance in high-noise, high-stress environments

This is critical in clinical settings where delays or outages are unacceptable.

7. Does our system collect or store patient data?

No.

The system does not collect PHI, patient identifiers, or audio recordings. Operational metrics are limited to system performance and aggregate usage patterns.

8. How is this different from typical healthcare IT or AI tools?

Most healthcare AI tools are:

  • Cloud-dependent
  • Retrospective (analytics, dashboards)
  • Best-effort in latency and reliability

Our approach focuses on:

  • Real-time response
  • Deterministic behavior
  • Physical-world interaction
  • Infrastructure-level reliability
9. Who typically uses or sponsors our technology?

Common stakeholders include:

  • Nursing leadership (ICU, ED, procedural areas)
  • Clinical innovation and transformation teams
  • Supply chain and operations leadership
  • Clinical engineering / biomedical engineering
  • IT teams (for governance and awareness)
10. Are we currently deployed in hospitals?

We are in pilot and validation stages, working with early partners to evaluate real-world performance, usability, and workflow impact in live clinical environments.

11. How are we validating the technology?

Validation includes:

  • Real-world pilot deployments
  • Measured workflow observations
  • System performance benchmarking
  • Independent technical evaluation

This work aligns with a Phase I SBIR invitation from the National Science Foundation, which serves as an external technical and commercialization validation gate.

12. Is our technology regulated?

The current system is designed as operational infrastructure, not a clinical decision-support or diagnostic device. Regulatory pathways will be evaluated as functionality expands, with safety and compliance treated as first-order design constraints.

13. What environments are we focused on first?

Initial focus areas include:

  • ICU and ED supply rooms
  • Procedural and perioperative storage areas
  • Point-of-use clinical supply locations

These environments benefit most from reduced search time and lower cognitive load.

14. What is our long-term vision?

Our long-term vision is to create a reliable, real-time control layer for physical environments—starting in healthcare and extending to other safety- and mission-critical domains where humans must interact with complex infrastructure under pressure.

15. How can organizations engage with us?

Organizations can engage through:

  • Pilot programs
  • Innovation partnerships
  • Technical evaluation collaborations
  • Early adopter discussions

There is no obligation beyond the pilot phase.