Cut detection time by 75%. Four hours to under an one hour with Sito.
Visual leak detection
Augmented Reality pinpointing the leak with different confidence levels.
Detect in distance
Up to 3 meters detection radius. Scan entire systems without crawling through tight spaces.
Introducing Sito Alto 1
Sito Alto 1 is a pocket-sized ultrasonic leak detector that connects to any smartphone. Best part? No training required, just plug & detect.
A precision tool
A 3-mic array captures ultrasonic frequencies up to 100kHz, detecting everything from refrigerant to nitrogen leaks. Compact and rugged, it plugs directly into your smartphone, turning your everyday device into a leak detection powerhouse.
Complete detection
When you're up close to valves or joints, the onboard refrigerant sensor provides that final layer of confirmation. It detects the chemical signature of most gases, bridging the gap between ultrasonic detection and physical proof.
When injecting nitrogen gas on HVAC system, most leak detectors lack the capability to detect the nitrogen gas leaks due to their high frequency range. Alto 1 has a high-frequency range extending up to 100kHz, making even nitrogen leaks easy to detect.
The novelty is on the software
Our sophisticated and well developed software is the brain behind real time noise filtering and leak detection.
Machine Learning
Trained on 100s of real world leak like scenarios, my ML model filters background noise and isolates true leak signatures.
Refined algorithm
Combines audio patterns, frequency listening adjustments, and spatial positioning to pinpoint leaks even in harsh conditions.
Intelligent noise filtering
A sophisticated 3 condition system with strong thresholds designed to filter all the noise to just focus on leak signatures.
Vision AI & LiDAR
Vision AI identifies HVAC components, while LiDAR adds depth perception to help engineers understand how far the leak is.
“Together, these components let us detect what a £25,000 sensors often miss in real time, on your phone.”
Would you like to see it in action?
Visit the case study, to see the app operating in a rough environment.
