Projects we successfully developed
One look is worth a thousand words.
350
+
Successful projects
14
+
Years on the market
11
Industries served
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IoT- and ML-based predictive wind farm maintenance
The wind farm operator was experiencing unexpected failures in gearboxes and generators. We developed a predictive maintenance system based on IoT and machine learning that helps identify issues early and reduce downtime.
IoT
AI inside
Enterprise
Predictive maintenance platform for HVAC systems
A cloud-based predictive maintenance solution for a U.S. real estate operator, deployed across 20 commercial buildings.
IoT
AI inside
Enterprise
AI-powered predictive maintenance for a large industrial manufacturer
A web-based AIoT solution that builds on the Client’s existing IoT platform, adding explainable ML models, context analysis, and maintenance system integration.
IoT
AI inside
Enterprise
POS system for a fast-growing Dutch beer & snack bar chain
A modern custom POS system tailored for counter-service-only bars with fast tap-based ordering, multi-location menu setup, and real-time branch performance monitoring.
IoT
Enterprise
A platform for vital farm animals signs monitoring
The Client develops a technology incorporated in a matchbox-sized wearable device allowing precise measurement of medically relevant vital data of farm animals.
IoT
Startups
Graphical user interface for robot operation
SumatoSoft developed a graphic user interface (GUI) that helps to communicate with the robot Alfred, an automated robotic arm.
IoT
Startups
Real-time blood glucose monitoring app for a healthcare technology firm
A mobile application that provides real-time blood glucose data through graphical representation, alerts for timely insulin administration, and seamless user onboarding, elevating the Client’s sensor product for a more significant market impact.
IoT
Adaptive health monitoring mobile app for personalized wellness programs
A mobile application designed to determine suitable workouts based on real-time pulse and pressure levels, all measured through a smart cuff. The app features GDPR-compliant security measures and seamless device integration.
IoT
Startups
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Elizabeth Khrushchynskaya
Account Manager
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