Thousands of new startups are founded every year – emerging companies with the potential to disrupt the global economy. To give you a head-start on emerging technologies and startups that will impact the industrial maintenance sector in 2022, we analyzed a total of 559 global predictive maintenance startups & scaleups. Meet 5 of the most promising startups to watch!
Global Startup Heat Map highlights 5 Predictive Maintenance Startups to Watch in 2022
Out of 559, the 5 predictive maintenance startups to watch are chosen through the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering over 2 093 000+ startups & scaleups globally. As the world’s largest resource for data on emerging companies, the SaaS platform enables you to identify relevant startups, emerging technologies & future industry trends quickly & exhaustively.
The Global Startup Heat Map below highlights the 5 predictive maintenance startups you should watch in 2022 as well as the geo-distribution of the other 554 startups & scaleups we analyzed for this research. We hand-picked the 5 highlighted predictive maintenance startups based on our data-driven startup scouting approach, taking into account factors such as location, founding year, the relevance of technology, and funding, among others.
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Quivr offers Equipment Monitoring
Founding Year: 2020
Location: Redmond, US
Partner for: Condition Monitoring
Industries: Automotive, Materials, Aerospace
Quivr is a US-based startup that offers a computer vision-based equipment monitoring platform for heavy manufacturing. The startup’s on-the-edge camera sensors and communication devices work in tandem with its software to automate equipment condition monitoring. The software uses this data to provide real-time defect alerts, thereby enabling predictive maintenance. This enables workers to fix on-the-job errors and avoid costly mistakes during production.
AWAKE Mobility shows the Real-Time Bus Health Status
Founding Year: 2020
Location: Munich, Germany
Partner for: Maintenance Analytics, Fleet Analysis
Industry: Mobility
AWAKE Mobility is a German startup that provides real-time bus health status for management teams, workshops, and control centers. The startup’s dashboard leverages vehicle data and fault codes to detect anomalies and forecast possible technical problems through predictive analytics, enabling data-driven maintenance decisions for fleet management. Consequently, the startup’s solution increases vehicle uptime, reliability, and sustainability of bus fleets while maximizing fleet performance and public safety.
Basalt enables Continuous Monitoring
Founding Year: 2020
Location: Auckland, New Zealand
Partner for: Equipment Tracking
Industries: Mining, Aerospace, Maritime
New Zealand-based startup Basalt builds an open-source Internet of Things (IoT) platform for heavy industries. The startup’s solution combines sensors to monitor the environment, a gateway to control communication between devices, and an analytics software platform. It allows industries that use mobile equipment to track and monitor their condition. For instance, the startup applies stochastic analysis on airplane maintenance data to identify key assets and place sensors on them. The sensors log environmental data, especially temperature and vibration, for further analysis. The startup’s software runs analytics on the collected data to derive maintenance insights and, in turn, reduce downtime.
Pulsenics facilitates Electrochemical System Monitoring
Founding Year: 2019
Location: Toronto, Canada
Partner for: Industrial Wastewater Treatment
Industries: Mining, Chemical
Pulsenics is a Canadian startup that offers a real-time electrochemical system monitoring and control solution. The startup’s impedance spectroscopy probes integrate into cell stacks to measure and transmit individual cell characteristics. Pulsenic’s AI-based analytics platform, at the same time, consolidates, visualizes, and correlates the electrochemical data. The probe and platform together enable predictive maintenance scheduling and energy-efficient optimizations, lowering operating costs in industrial electro-oxidation water treatment processes. Therefore, the startup’s solution allows process and heavy industries to constantly monitor their cell stacks and minimize maintenance discrepancies to improve electrochemical cell performance.
Sosivio enables Cloud Predictive Maintenance
Founding Year: 2020
Location: San Francisco, US
Partner for: Cloud-Native Application Protection
Industry: Software-as-a-Service (SaaS)
US-based startup Sosivio provides predictive maintenance for cloud-native applications. The startup’s on-premise or public cloud observability platform non-intrusively monitors Kubernetes applications. It utilizes AI to enable real-time root cause analysis as well as offers predictive maintenance and automatic failure resolution. This significantly reduces the mean time for fault recovery and improves customer satisfaction. The platform also differentiates real security threats and typical Kubernetes anomalies to improve maintenance decision-making.
Discover All Emerging Predictive Maintenance Startups
The 559 predictive maintenance startups showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach. Download our free Industry Innovation Reports for a broad overview of the industry or get in touch for quick & exhaustive research on the latest technologies and emerging solutions that will impact your company in 2022!
