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Drones & Edge AI Systems
IoT
Your sensors collect data. We transform it into decisions.
Every sensor is a window on the physical world. Temperature, movement, position, radio signal, acceleration: continuous, heterogeneous, often noisy data. The problem is not collecting it — it is extracting value from it reliably, scalably and actionably.
We build end-to-end AI pipelines on IoT data: from raw ingestion to inferential logic, up to the output that feeds a system, a dashboard or an operational decision. Whatever the sensor, whatever the domain.
Problems we solve
Blocked knowledge, critical dependencies and inefficiencies holding back growth
Data collected, value not extracted
You have active sensors, data flows, storage filling up. But transforming that flow into insights requires models that most teams do not have.
Signal immersed in noise
IoT data is dirty by definition: missing values, outliers, sensor drift, environmental variability.
Latency between data and action
In some contexts, batch analysis is not enough. Real-time processing is needed.
Scalability
One sensor is a prototype. A hundred sensors are a system. A thousand sensors are an engineering problem.
Use Cases
Real projects, measurable results
01
We developed a people flow monitoring system based on WiFi sniffing: signals from devices present i…
Railway sector — People flow monitoring and occupancy estimation
We developed a people flow monitoring system based on WiFi sniffing: signals from devices present in carriages are acquired, filtered and processed by ML models to estimate in real time the number of passengers per carriage and movement flows.
No invasive infrastructure. Just the signals already present in the environment, transformed into operational data.
02
Accelerometric and movement data collected from smart collars on dogs, analyzed by ML models to cla…
Pet tech — Behavioral interpretation from wearables
Accelerometric and movement data collected from smart collars on dogs, analyzed by ML models to classify behaviors and signal anomalies linked to the animal's health.
Continuous data, complex patterns, actionable output.
Technology Corner
The architecture and technologies that make the difference
Our projects don't rely on off-the-shelf solutions. Every system is designed on the right architecture for the specific problem — and the technology choice makes the difference between a tool that works in demo and one that holds up in production.
Ingestion, preprocessing and models
- ✓ Data acquisition pipeline from heterogeneous sensorsRF, accelerometer, IMU, environmental
- ✓ Classification and regression on time seriesfor pattern recognition and quantitative estimation
- ✓ Anomaly detection on continuous flowsfor detecting out-of-norm behaviors
Architecture and integration
- ✓ Edge-to-cloud pipelinewith end-to-end latency management
- ✓ Integration with standard IoT protocolsMQTT, BLE, WiFi
- ✓ Structured outputfor dashboards, alerts and downstream decision systems
Interested in this service?
Contact us for a free consultation and find out how we can help you.
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