Physiqal
Physiqal provides a human-state intelligence platform that verifies physiological, behavioral, and environmental signals, fuses them, and interprets them against an individual's personal baseline and context. The system outputs present state, trajectory, emerging risk, and confidence scores, delivering role-specific decision support for operators in defense and high-performance domains. Its framework is configurable across both sectors with domain-specific inputs and thresholds.
- Defense Tech
- Data & Analytics
- Software Only
- Internet of Things
Funding
Founders
Founder details are not available yet.
Product
Problem
Isolated sensor readings and generic population thresholds do not reveal what is happening to a specific individual, how their condition is changing, or how much a given measurement can be trusted. More sensors and fragmented data streams create additional complexity without delivering the coherent, personal insight needed for timely and appropriate action.
Solution
Physiqal delivers a human-state intelligence platform that verifies incoming signals, fuses multiple modalities, and interprets them against an individual's own baseline, recent trajectory, activity, and environmental context. The system generates a trusted model of the person that includes present state, directional trajectory, emerging risk, and a confidence score indicating how strongly the model backs its inference. Outputs are framed as decision considerations tailored to the responsible role, whether a human operator or an automated system. This approach transforms disconnected metrics into a single, actionable interpretation.
Target Audience
Primary customers are operators and technology teams in defence and high-performance domains who require trusted, context-aware interpretations of human state to support rapid, informed decision-making.
Features
- Signal verification and quality control for physiological, behavioural, and environmental inputs from partner or proprietary hardware
- Multimodal data fusion engine that grounds interpretations in a personal baseline, recent trajectory, and current activity context
- Outputs structured across present state, trajectory, emerging risk, and confidence dimensions for each modelled individual
- Role-specific decision support that translates model output into recommended next considerations for the relevant decision-maker
- Reusable sensor integrations, data contracts, and acquisition know-how that accelerate deployment across new use cases
- A single framework configurable for parallel application in defence and performance domains with domain-specific inputs, thresholds, and decision surfaces