The Platform
AIMediQ™ powered by datasyteAI™
The AI operating layer for Code Blue response.
System Intent
One coordinated layer for the code
AIMediQ™ is PathFree's emergency cardiac-response system. It is powered by datasyteAI™, the company's clinical intelligence and data layer.
AIMediQ™ is designed to operate in the interval where conventional care is absent: from the moment of collapse to the moment a clinician takes over. datasyteAI™ provides the underlying models, event data structure, and decision logic that make that interval legible.
The System
A clinical tablet interface, made legible
Illustrative depiction of intended product concept. Interface elements shown are conceptual.
Interface Surfaces
- Protocol state
- Elapsed time
- Rhythm information
- Compression timing
- Medication windows
- Role prompts
- Safety checks
- Structured event timeline
Product Flow
Initiate. Guide. Decide. Document.
01
Initiate
Identify the event and establish the active protocol state.
02
Guide
Present real-time, role-aware workflow prompts.
03
Decide
Support timing, medication, rhythm, and safety considerations.
04
Document
Create a structured, time-stamped event record.
Core Capabilities
What the platform is designed to do
Real-Time Clinical Decision Support
Context-aware prompts intended to keep the active protocol state visible to the whole team during a live event.
ACLS Workflow Awareness
Designed to track where a resuscitation stands within recognized emergency cardiovascular workflow steps.
Medication and Timing Support
Intended to surface elapsed intervals, compression timing, and medication windows without adding manual tracking burden.
Role and Team Coordination
Role-aware prompts intended to clarify who is doing what, reducing duplicated effort and communication gaps.
Automated Event Documentation
Actions, timing, and interventions captured as a structured, time-stamped record rather than reconstructed afterward.
Analytics and Quality Review
Structured event data intended to support post-event debrief, quality assurance, and program-level review.
Integration
Built to fit the hospital that exists
Designed to integrate into existing emergency-response workflows without requiring a complete hospital infrastructure replacement.
Engineering Commitments
- Edge-capable inference so critical guidance does not depend on ideal connectivity.
- Event data modeled for clinical review, quality assurance, and regulatory evidence generation.
- Interfaces designed for the worst conditions of use — noise, panic, low light, single-handed operation.
- Privacy and security architecture appropriate to protected health information.
Development-stage technology. Not for clinical use unless and until applicable regulatory requirements have been satisfied. Final product configuration, intended use, claims, and regulatory pathway remain subject to validation and regulatory review.
AIMediQ™ and datasyteAI™ are under active development. Descriptions on this website are product intent and engineering direction. They are not claims of regulatory clearance, clinical validation, or commercial availability.
Next Step
Confidential materials are provided only after review.
Qualified prospective investors may request the PathFree Technologies information package and details of the New York investor presentation series.