Make your city work smarter, not harder

We develop cutting-edge analysis techniques that turn data into knowledge.

Get Started

Every city has challenges.
We solve them with data

As cities grow, they get harder to manage. Travel routes become longer, traffic gets denser, infrastructure defects go unnoticed. You need to know what's happening, but you have no boots on the ground or eyes in the sky.

Enter fibre-optic sensing:

Fibre-optic sensing is a revolutionary technology that turns ordinary telecom cables into arrays of virtual sensors. This means that wherever there is telecom infrastructure, there is data. Our goal is to harness this technology to extract metrics where they matter.

What we do:

We deploy special photonic instruments that unlock continuous monitoring capabilities on almost any telecom cable
We develop high-performance pipelines for data processing, Deep Learning analysis, and real-time visualisation
We brainstorm with clients to find the optimal fibre routes, monitoring strategies, and visualisation methods

km of network

GB of data

seconds of latency

The technology

Fibre-optic sensing has seen a surge in development in the field of geophysics, and we are bringing this science to your city. We connect a photonic instrument to one end of an optical fibre and send in systematic pulses of laser light. With this, we can continuously measure vibrations along the fibre.

Single-ended

Install a physical instrument only on one side, get 10,000 virtual sensors in return.

Distributed

Continuously measure vibrations every few metres with exact spacing.

Real-time

Zero latency during acquisition. Don't wait for your data to arrive.

Long-range

A single instrument can sense up to 150 km on a single channel.

Cost-efficient

Leverage the telecom network that you already have.

Weather-proof

Measurements are not affected by weather conditions or visibility.

Want to to know more?

Applications

A single instrument unlocks numerous applications. Here is what we are currently working on:

Car traffic analysis

How many cars do we have on the road right now? How fast are they going? And how long does it take to get to their destination?

Railroad monitoring

Detect intrusions before they cause interruptions. Ensure optimal railroad conditions.

Water leak detection

Avoid water losses and unnecessary maintenance by locating the exact position of a leak.

Offshore surveillance

Find out what is happening offshore: marine traffic monitoring, cable protection, whale detection, and much more.

Publications

Our research is peer-reviewed and meets the highest scientific standards.

Precision traffic monitoring: Leveraging distributed acoustic sensing and deep neural networks Subm. to IEEE Transactions on Intelligent Transportation Systems

Spatial Deep Deconvolution U-Net for Traffic Analyses With Distributed Acoustic Sensing IEEE Transactions on Intelligent Transportation Systems 2024, vol. 25(2), doi:10.1109/TITS.2023.3322355

Deep Deconvolution for Traffic Analysis With Distributed Acoustic Sensing Data IEEE Transactions on Intelligent Transportation Systems 2023, vol. 24(3), doi:10.1109/TITS.2022.3223084

Self-Supervised Velocity Field Learning for High-Resolution Traffic Monitoring with Distributed Acoustic Sensing 56th Asilomar Conference on Signals, Systems, and Computers, doi:10.1109/IEEECONF56349.2022.10051959

Next-Generation Traffic Monitoring with Distributed Acoustic Sensing Arrays and Optimum Array Processing 55th Asilomar Conference on Signals, Systems, and Computers, doi:10.1109/IEEECONF53345.2021.9723373

Meet the team

We are a growing company with a firm basis in academic research.

Cédric Richard

Signal processing specialist

Cédric Richard, Prof. at Univ. Côte d'Azur, has authored 350+ publications in Signal Processing & AI. He was a Member of the Institut Universitaire de France.

André Ferrari

AI & Deep Learning expert

André Ferrari is Professor at Université Côte d'Azur. His research focuses on statistical data processing, statistical learning and inverse problems.

Anthony Sladen

Senior geophysicist

Anthony Sladen, researcher at the National Centre for Scientific Research (CNRS), has over 10 years of experience in fiber optic sensing applied to geophysics and environmental monitoring.

Martijn van den Ende

Fibre-optic sensing expert

Martijn van den Ende has developed numerous analysis tools for fibre-optic sensing applications, with a strong focus on Smart City seismology and Deep Learning.