TALON patient app
Patients capture symptoms, medication updates and changes between visits, and authorize sharing relevant information for an encounter.
Patent Pending
Autonomous robotics.
Human expertise.
Connected care.
We’re building a nurse-assistance robot that connects patient history, real-time intake and remote nursing through one platform - with autonomous operation and immersive VR control.
Why we’re building Praxis
The patient carries the continuity.
After 20 years on active duty and now receiving care through the VA, I see a persistent problem: the patient carries the continuity, even when the healthcare system doesn’t. Assignments change, providers rotate and care moves between facilities. Patients often have to rebuild their story at the next appointment.
Medical records don’t capture everything between visits - when a symptom started, how it changed or what happened after a medication change. Reconstructing those details takes time from patients and care teams, especially when nurses are stretched thin.
We’re building Praxis to bring that context forward and extend nursing expertise through robotics. Our goal is to help teams see more patients and move appropriate evaluation and treatment forward sooner, including within the same visit when clinically appropriate and resources allow.
Justin Mahan, Co-Founder and CEO
Three parts, one connected solution.
TALON - Taskflow for Agentic Logic, Orchestration and Networking - is the technology platform powering the patient-facing TALON patient app, the Praxis nurse workspace / VR interface and the Praxis robot. We’re developing them together so patient context follows the encounter.
Praxis nurse workspace / VR interface
Nurses review intake and authorized medical history in a source-linked draft, alongside an immersive interface for remote participation and permitted robot control.
Praxis robot
A mobile physical interface connects patients and remote nurses, combining bounded autonomous workflow support with authorized VR teleoperation.
Autonomous operation. VR control when needed.
Bounded autonomous mode
Designed to perform approved tasks within configured operating limits, escalating situations that require human involvement.
Authorized VR teleoperation mode
An authorized nurse would view the robot’s surroundings and control permitted movements through an immersive interface, alongside intake information and relevant medical history.
Explicit handoff determines which mode controls the robot. Local motion safeguards remain active in both modes. Clinical assessment and decisions remain with licensed professionals.
Where we start
Our intended first use case is nurse-led intake and remote assistance for hospitals and outpatient care teams. A mobile physical interface would let remote staff reposition it during an encounter, while bounded autonomous functions support routine workflow. The value beyond fixed video or tablets remains something we will evaluate.
Illustrative example · Synthetic data
Flag the discrepancy. Keep the sources.
- Patient response
- “I stopped taking Medication A last week.”
- External chart
- “Medication A - active.”
- Source-linked draft for nurse review
- The patient reports stopping Medication A; the chart lists it as active. Nurse reconciliation is required, not automatic resolution.
Nursing expertise should reach further
Our vision is a nationwide pool of experienced nurses who can contribute remotely through Praxis, bringing their knowledge to more care teams as we develop the platform.
Extend remote expertise
Connect experienced nurses with participating facilities that need additional expertise.
Keep experience in practice
Enable career nurses with mobility limitations to keep contributing their clinical knowledge and judgment.
More flexibility for teams
Create more ways for nursing teams to participate across locations and changing career needs.
We’re building toward this model. Assignments would follow applicable nursing licenses and facility credentialing. Onsite teams would continue to provide hands-on care and immediate assistance.
Trust is part of the design.
These principles guide the platform we’re building:
Source-linked information
Preserve sources, discrepancies and missing information in drafts for nurse review, rather than silently resolving uncertainty.
Scoped patient authorization
Limit sharing to authorized encounter information, with access scoped to the professional’s role and assignment.
Institution-controlled processing
Design sensitive encounter processing around the healthcare institution’s control.
Constrained, auditable actions
Keep actions within configured permissions and operating limits, with event records that support review.
Software experience. A connected-care ambition.
Clearpath IP Holdings, Inc. is the company behind Praxis Robotics. We’re extending that software experience into connected applications and robotics.
Justin Mahan
CEO and Co-Founder
A 20-year U.S. Air Force veteran with experience in communications infrastructure, cybersecurity and systems integration. He co-founded Clearpath IP Holdings and helped architect CompassIP.
Our software foundation
Praxis Robotics builds on Clearpath IP Holdings, Inc.’s experience developing AI software for complex professional workflows. Explore our other platforms below.
From software foundation to connected robotics.
Existing foundation
CompassIP software experience
Experience building and operating AI orchestration and contextual information workflows.
Current focus
Connected app and information flow
Integrated patient app, nurse-led intake and authorized medical-record synthesis.
Next milestone
Controlled end-to-end demonstration
Demonstrate the connected workflow with a robot or simulated-robot control handoff.
Help bring connected robotic assistance into care.
We’re inviting conversations with healthcare organizations, development partners and investors.