High support costs due to frequent repairs.
Industrial IoT Device Development and AI Maintenance Platform for Compressor Manufacturer
Yalantis helped a Netherlands manufacturer of compressed air systems reduce support requests in half and improve sales through custom IoT devices and an AI-powered predictive maintenance solution.
Sales boost
Years longer warranty
Lower support costs
“The client needed battery-powered devices with vibration, temperature, and magnetic sensors that could operate from –40°C to +250°C and meet safety standards for explosive environments. No off-the-shelf solution could do this.”
– Denys Hukov, Head of IoT Unit at Yalantis
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From medical devices to industrial automation — we deliver complete enterprise solutions with regulatory compliance built-in. Everything under one roof.
Our offices
Poland
123 al. Jerozolimskie, Warsaw, 00-001
Ukraine
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Estonia
12 Parda, Tallinn, 10151
FAQ
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How long did the engagement run, and what did you ship by the end?
We worked for around 7 months to deliver certified custom sensor hardware, a cloud pipeline on AWS IoT Core, predictive-maintenance models, operator dashboards, and a public API for customers.
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Off-the-shelf sensors exist, why build custom? And how did you meet explosion-proof rules?
The client needed battery-powered devices operating from −40 °C to +250 °C with vibration/temperature/magnetic sensing and safe use in explosive environments; our team designed devices and certified them to ATEX Zone 2 plus UKCA, NEC 500/505, CQST, KOSHA, and TIIS with Notified Bodies.
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What enables predictive maintenance in practice?
AI models analyze historical + real-time sensor streams to forecast wear, auto-generate machine-specific maintenance plans, and trigger alerts before failures.
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How does data get from factory floors to dashboards at scale?
Sensors send data to edge gateways (≈1 km radius coverage) and then securely to AWS IoT Core; dashboards expose current state, trends, schedules, and location per machine.
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What changed for the support organization post-launch?
Support requests dropped by ~50% and support costs fell 52%; issues are now handled proactively with parts-level replacements instead of whole-system swaps.
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What did end-users (operators and managers) actually get?
Mobile/tablet dashboards for operators, real-time alerts when thresholds are breached, and an automatically maintained repair history, so that both the manufacturer and client teams have shared, up-to-date visibility.
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