01
Sensor Fusion
Combine vibration, speed, pressure, temperature and operating context because mechanical condition is rarely visible in one signal alone.
MECHANICAL SYSTEMS / EDGE INTELLIGENCE
Edge intelligence
for mechanical systems.
Built for machines where conventional condition monitoring is limited, unavailable or impractical.
Cryal Core develops embedded intelligence using sensor fusion, adaptive baselines and machine learning at the edge.
SIGNAL / 001 — ACTIVE DEVELOPMENT
Intelligence where
monitoring is missing.
Advanced condition monitoring already exists for high-value industrial assets.
Cryal Core is building a lighter, edge-native intelligence layer for machines that were never designed for it.
01
Retrofit-first
Designed to work without requiring native ECU, PLC or continuous cloud connectivity.
02
Machine-specific learning
Adaptive baselines learn how the individual machine behaves across operating conditions.
03
Multi-modal sensing
Combine vibration, speed, pressure, temperature and operational context.
01 / TECHNOLOGY
Intelligence,
close to the signal.
A technology foundation for making mechanical condition observable, even where conventional diagnostics are limited.
02
Adaptive Baselines
Let each machine establish its own normal behaviour across changing loads, environments and operating states, beyond fixed universal thresholds.
03
Embedded Machine Learning
Put models close to the machine, where analysis can be performed with low latency and resilience.
04
Signal Processing
Transform raw physical signals into useful features and meaningful mechanical context.
05
Edge Computing
Run meaningful analysis locally, keeping core intelligence available when cloud access is intermittent or unavailable.
06FUTURE DIRECTION
Fleet Intelligence
A future direction: use higher-level learnings across machines to strengthen local intelligence over time.
02 / PLATFORM
One intelligence layer.
Across mechanical systems.
Cryal Core is a machine-independent technology platform for mechanical systems across industries. The same underlying architecture can be adapted by combining relevant physical sensors, machine-specific operating states, adaptive baselines and embedded models.
MarinePropulsion · generators · auxiliary systems
Industrial machineryMotors · pumps · compressors · gearboxes
Power & energyGenerators · rotating machinery · distributed equipment
MobilityPowertrains · driveline systems · auxiliary machinery
Specialized equipmentMachines where conventional monitoring is limited, expensive or unavailable
03 / FIRST APPLICATION
Cryal Core / EngineGuard
EngineGuard
Modern mechanical intelligence for marine engines — including those without modern diagnostics.
EngineGuard is the first application built on the Cryal Core technology platform. It is being developed as a standalone condition-monitoring layer for marine engines, including legacy and retrofit installations where native diagnostics are limited or absent. It is intended to complement existing engine electronics without requiring rich native ECU or CAN telemetry.
By combining multiple physical signals, EngineGuard is being developed to recognize changes in mechanical behaviour that may not appear as conventional engine fault codes.
Intelligence for machines
that weren’t born intelligent.
Millions of mechanically valuable machines remain in service without modern condition-monitoring infrastructure. Cryal Core is developing technology that can add an intelligence layer without requiring the machine itself to have been designed for it.
ARCHITECTURE / EDGE FIRST
From physical reality
to mechanical intelligence.
PHYSICAL MACHINE
The system in motion
SIGNALS
Machine-independent sensing: vibration · RPM · pressure · temperature · other signals
CRYAL CORE EDGE
Local signal processing / Sensor fusion / Operating-state recognition / Adaptive baseline / Embedded ML
MECHANICAL INTELLIGENCE
Health state / Deviation detection / Trends / Alerts
CRYAL CORE CLOUD
Optional: Fleet learning / Model management / Long-term analytics / Integrations
CORE INTELLIGENCE RUNS AT THE EDGE / CLOUD CONNECTIVITY IS OPTIONAL
04 / COMPANY
Building intelligence
for the physical world.
Cryal Core is an early-stage deep-tech venture developing embedded intelligence for mechanical systems.
We combine signal processing, sensing, edge computing and machine learning to make mechanical condition observable where conventional diagnostics are limited or unavailable.
CURRENTLY IN DEVELOPMENT
EngineGuard