The blade, the mooring and the export cable carry the whole business case, and all three are inspected far more often than they are measured.
Wind energy ›Accelerating Sustainability
Infrastructure that thinks for itself and lasts.
Tarucca turns high-value physical assets into intelligent, self-monitoring systems. Wind turbine blades, mooring lines and subsea cables offshore. Bridges onshore. Production lines in the factory. We measure what matters, and we explain what changed.
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Where we work
Four industries. One way of working.
The asset changes. The problem does not: something expensive is behaving in a way nobody can currently explain, and the data on hand is thinner than the decision requires.
Monitoring one bridge well is solved. Monitoring a portfolio affordably is not, and the portfolio is where the question actually sits.
Civil infrastructure ›The line that stops for no clear reason. The reject rate after a product change. Everyone has a theory, nobody has ever proven one.
Manufacturing ›High-value assets, hard to reach, intermittent or denied connectivity, and almost no failure data. The environment we were built for.
Defence ›
How we work
AI anchored in physics
Most industrial AI is hungry. It wants many examples of things going wrong before it can recognise the next one. Valuable machines and structures do not oblige: the events that matter most are, by definition, rare.
So we invert it. The physics supplies the fundamental behaviour, and your data is asked only for what is specific to your situation. Less data is needed, and what comes out is more trustworthy.
Physics for the fundamentals. Your data for the specifics.
We learned this offshore, where nobody can go and look, the data is thin, and the decisions cost millions. Everything we do elsewhere is that same discipline applied closer to home.
How the technology worksPhysics
Structural dynamics, load paths, thermal behaviour. What is possible at all.
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Your data
Sensors, SCADA, control systems, maintenance history. What is true here.
A decision you can defend
Realistic outside the measured range, explainable in engineering terms, and available from day one rather than after years of history.
Little failure data
The events that matter most are rare by definition. Physics fills the gap that missing examples leave behind.
Reliable beyond the data
Predictions stay realistic outside the range you happened to measure, because the physics constrains what can occur.
Explainable, not a black box
Results are grounded in physical terms, so your own engineers can check them, repeat them and defend them.
Value from day one
Monitoring, prediction and early warning without first building years of history you do not have.
In production
FleetSense has been running for three and a half years
FleetSense is the sensing and data platform underneath our structural monitoring work. It ingests sparse sensor data from large, dynamically excited structures, extracts modal parameters, fatigue indicators and change signatures on the device itself, and delivers clean outputs instead of raw waveforms. It is shipping code on live assets, not a pilot-phase build.
5
Units active in the field
66
Fibre optic sensors in service
3.5 yrs
Continuous run, sustained
≥99%
Effective data delivery, over cellular links with 90% uptime
The same algorithms carry across asset classes. When we take on a bridge, the domain is new. The code is not.
A fibre optic sensor array going in inside a blade root. The same sensing and data chain runs on moorings and floating structures, and now on bridge data.
Our expertise
Three capabilities, working as one
Each is useful alone. Together they are what lets a handful of sensors answer a question that would otherwise need a hundred.
AI and Time-Series Intelligence
Models that fuse sensor, control-system and environmental data to detect early degradation, predict failure and quantify how certain they are. Built for real conditions: intermittent connectivity, noisy measurement and decisions that carry consequences.
Optical and Multi-Vendor Sensing
Photonic sensing with high sensitivity and complete immunity to electromagnetic interference, which is what makes it work inside a blade where lightning is a design case and on a rail bridge under traction current. We integrate multi-vendor systems and build rugged edge architectures for field deployment.
Structural Dynamics and Digital Twins
Operational modal analysis, modal expansion and physics-based models that turn measured motion into loads, fatigue and remaining life. This is the layer that lets five sensors tell you what twenty would have told you.
Not sure which of these fits you?
Ask a question here and get an answer in Tarucca's own terms rather than a contact form and a three-day wait. If we cannot answer it well, we will say so and put you in front of Hans or Jesse.
Get in touch
Tell us what you cannot currently explain.
Every engagement we do starts small and bounded, with a fixed scope and a fixed duration, so you can judge the result before deciding anything larger. The first step is a conversation with one of the founders, not a sales process.
Hans van Beek
Co-founder