Industry
IoT, agriculture and environment
Thousands of readings per minute that must be stored, queried and turned into decisions. We have built IoT platforms for agriculture and for cities.
Typical challenges
- Storing large volumes of time-series data at a reasonable cost
- APIs that withstand traffic peaks with high availability
- Applications so the customer sees their data and controls their equipment
- Integration with public services, open data and partners
- Anomaly detection and prediction on sensor data
Experience
For a French AgriTech company we designed time-series storage on InfluxDB and Amazon Timestream, REST APIs with 99.95 % uptime and more than a thousand requests per second, and the web application customers use to manage their installations. With envMatter, our own project, we deployed twenty-five sensors across Barcelona that feed data to the Servei Meteorològic de Catalunya.
Where AI comes in
On the data already collected: anomaly detection, irrigation or consumption forecasting, and assistants that explain to the user what is happening in their installation in plain language.
Related cases
Symbiosei
Symbiosei: an AgriTech IoT platform
Time-series storage, real-time APIs and a web application for a French AgriTech company managing sensors on farms and in homes across Europe and the Middle East.
Node.jsTypeScriptReact
Related services
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