Bridging the gap between AI and the Physical World
EZMEMS’ continuous edge multi-sensing bridges the physical world and AI by transforming physical signals into AI-ready data
The physical world still runs mostly blind
Across industry and infrastructure, critical systems depend on physical conditions. But the data behind those systems is still limited.
Most sensors capture only fragments of what’s actually happening
So instead of optimizing, teams react – after problems have already occurred
They leave operators without the real-world data needed to make confident decisions
From isolated sensors to edge multisensing infrastructure
To unlock Physical AI, sensing must change
Instead of a few, isolated measurement points, systems need continuous sensing networks that capture multiple signals simultaneously in real time.
EZMEMS offers a single multisensing platform
Capable of measuring many physical parameters at once. This transforms sensing from a specialised measurement tool into a scalable data infrastructure for the physical world.
Simplifying the usage of sensors
One chip. Multiple senses.
The full picture in real time.
EZMEMS integrates optical, mechanical, and electrochemical sensing into a single polymer-based chip. Sensors operate directly at the edge of physical processes where conditions actually occur. This allows organizations to see their processes continuously rather than through occasional snapshots.
What one chip unlocks
Multisensing
Monitor multiple physical parameters simultaneously in a single device.
Edge deployment
Sensors operate directly within physical systems rather than at distant sampling points.
Real-time insight
Continuous data enables faster decisions, predictive maintenance, and AI-driven optimization.
Operational simplicity
Pre-calibrated devices install quickly with no specialist maintenance.
INDUSTRIES
Wherever there’s a process, there’s a sensing gap
EZMEMS is at work across industries where the cost of not knowing is too high. For example: data centers optimizing cooling performance, pharmaceutical companies optimizing development and production processes, water utilities monitoring quality in real time, and more. Wherever physical systems drive critical outcomes, multisensing enables better decisions.
Better visibility drives better outcomes.
Real-World Data Streams
EZMEMS captures multiple physical signals simultaneously, turning changing conditions into continuous edge data.
Greater System Awareness
EZMEMS gives organizations a clearer, real-time view of changing physical conditions across critical systems.
Better Decision Confidence
That real-time visibility helps teams act on what’s actually happening in the process, not on lagging indicators.
Physical AI Readiness
Continuous multisensing creates the real-world data layer AI systems need to understand physical environments.
Scalable automation
High-density sensing networks supply the inputs required for AI-driven optimization and autonomous operation at scale.
Higher System Reliability
Early detection of abnormal conditions reduces downtime, prevents failures, and improves system performance.
Sensing the world shouldn’t cost the world
EZMEMS chips are polymer-based — not silicon — which means a fraction of the energy, water, and chemical resources required to manufacture conventional sensors. And because a single chip replaces many, the footprint shrinks further still. Better sensing, by design, means less waste.