AI case study

AcondPredictive maintenance

Technicians manually pulled SD cards to diagnose pumps. Now, ML flags anomalies remotely, replacing 15-minute physical inspections.

Published|1 year ago

Key results

Aggregation Time
15 mins

Result highlights

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The story

Context

A leading European heat pump manufacturer monitors over 5,000 connected devices that generate 30 million data points daily.

Challenge

Technicians relied on manual data extraction from SD cards to diagnose issues, requiring 15 minutes per pump just to aggregate operational logs. This...

Solution
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Quotes

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The company

Manufacturer of air-to-water heat pumps for residential heating and cooling.

IndustryIndustrial & Manufacturing
LocationMilevsko, Czech Republic
Employees51-250
Founded2004

The AI provider

Databricks is a Big Data company that offers a unified analytics platform for data science, engineering, and analytics teams.

IndustrySoftware & Platforms
LocationSan Francisco, California, United States
Employees10K-50K
Founded2013

The implementation partner

DataSentics logo

DataSentics

datasentics.com

Built Acond's unified IoT platform for real-time analytics and predictive maintenance.

IndustryTechnology
LocationPrague, Czech Republic
Employees251-1K
Founded2016

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