A European sensor-based intelligence layer for fleets, industrial assets and critical systems — detecting degradation patterns before they become failures.
Most maintenance systems focus on isolated asset alerts. Synthaxis goes further — evaluating how an asset behaves inside its family, detecting whether a deviation is isolated, emerging, or systemic across an entire fleet.
From offshore wind to urban transit, from commercial vehicles to autonomous drones — the same analytical layer, adapted to the physics of each asset class.
Results obtained on public industrial datasets. No supervised training. No labelled data. Raw sensor signals only.
Scientific record: DOI 10.5281/zenodo.19695606
Synthaxis can be evaluated through a short paid pilot using selected historical or live sensor data. The objective is to determine whether the system can identify early degradation and systemic fleet patterns in your operational context.
Selection of asset type, sensor channels, operational history and target events. Minimal sensitive data exposure.
Synthaxis analyses available signals without requiring access to full internal systems or proprietary data structures.
Asset-level and fleet-level health indicators are generated. Early warning timeline, risk ranking and systemic patterns.
Results compared with known maintenance history, failures or inspection records. Savings estimate produced.
If validated, pilot evolves into a protected industrial deployment with defined performance criteria and pricing model.
For industrial pilots, fleet evaluation or technical discussions, contact Synthaxis directly.