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PhysenseAI
A physical world resolved into spatial particles, trajectories and a central model
Physical World Understanding Model

Give AI an understanding of what is happening in the physical world.

PhysenseAI turns fragmented physical observations into machine-understandable events, states, context, dynamics and predictions.

Explore the modelContact us
The next model frontier

AI can understand digital information. Now it needs to understand the physical world.

01LanguageLLM
02Images / VideoVision Models
03Physical WorldPhysenseAI
Physical World Understanding Model

Observation is not understanding.

Sensors produce signals. PhysenseAI reconstructs incomplete, heterogeneous and time-varying observations into an understanding of reality that people, software and machines can use.

HETEROGENEOUS OBSERVATIONS
Motion
Pressure
Vibration
Audio
Vision
Environment
PHYSENSEAIPHYSICAL WORLD UNDERSTANDING MODEL
MACHINE-UNDERSTANDABLE REALITY
EVENTWhat happened
STATEWhat is happening
CONTEXTWhat it means
DYNAMICSHow it is changing
PREDICTIONWhat happens next
Not a sensor company · Not an IoT platform · Not single-vertical software
One model · Four environments

A world-model company with real-world entry points.

These are not four separate products. They are four ways to call the same Physical World Understanding Model.

01

Living Alone

From single alerts to understanding changes in living patterns.

The model continuously learns daily rhythm. When a meaningful deviation appears, it describes the change to family or carers and suggests a check-in.

LIVING RHYTHM
Illustrative scenario
PAST 5 DAYS
A normal living pattern is forming
OBSERVING
MON
TUE
WED
THU
TODAY
Home activity · movement · outings form a stable rhythm
Living pattern changed

Activity this morning is noticeably below the recent routine, and the usual outing has not occurred.

MODEL SUGGESTION

A family member or carer should check in and see whether support is needed.

SEND CHECK-IN
02

Care Centres

Tell on-duty staff what is happening in every room.

Instead of isolated device alerts, the care station receives continuous event summaries, risk levels and suggested actions.

CARE STATION · AI ROOM UNDERSTANDING
Illustrative scenario
FLOOR STATE
302
Bathroom dwell · 24m
304
Out of bed · 6m
307
Returned to room
309
Sleeping
AI EVENT DESCRIPTION
ATTENTION

The resident in room 302 entered the bathroom at 02:11 and has remained for 24 minutes, exceeding the night-time safety threshold.

02:1102:2602:35
REQUEST ROOM CHECKESCALATE ALERT
03

Robotics

An always-connected environmental understanding layer for robots.

The model understands spaces, activity and history beyond a robot's field of view, so machines can understand before they act.

ROBOT ENVIRONMENT CONTEXT STREAM
Illustrative scenario
KITCHEN
JUST VACATED
CORRIDOR
IN TRANSIT
BEDROOM
OCCUPIED · RESTING
LIVING
AVAILABLE
PHYSENSE
MODEL
CONTINUOUS LINK
01Bedroom is not suitable to enter
02Recheck state in 8 minutes
03Continue current task; hold movement
04

Lights-out Factories

Make unattended spaces continuously describable.

In low-visibility or unmanned environments, the model describes normal and abnormal states and prompts verification when needed.

LIGHTS-OUT FACTORY · SPATIAL STATE
Illustrative scenario
ASSEMBLYNORMAL OPERATION
CORRIDOR BUNSCHEDULED ENTRY
MACHINE ROOMNO CHANGE · 18M
MATERIALSNORMAL
ABNORMAL EVENT DETECTED

During non-production hours, an unscheduled entry occurred in Corridor B and moved toward the machine room.

LINKED ZONESCORRIDOR B → MACHINE ROOM
SUGGESTED ACTIONVERIFY & CONTINUE OBSERVING
Model compounding

Every exposure to the real world makes the model stronger.

01More real environments
02More physical sequences
03Better physical representation
04Broader understanding
05More usable environments
PhysenseAI

Give AI an understanding of what is happening in the physical world.

PhysenseAI is building a learnable, reusable understanding layer for the physical world.

contact@physense.worldView investor deck