Furthermore, the startup provides a secure edge Internet of Things (IoT) device for signal processing and transmission along with remote machine learning capabilities. The passive sensors feature a plug-and-play design that allows easy integration into working environments. The startup’s continuous monitoring photonic sensors are highly sensitive and highly functional in harsh environments as well. Swiss predictive maintenance startup Miraex devises photonic sensors to assess machine data. For example, photonic sensors detect photons instead of electrons and use the same technology to track machine conditions efficiently. Startups develop adequate replacements for conventional sensors in PdM using advancements in the manufacturing and materials industries. In machine condition monitoring, a passive sensor ensures equipment safety and robust operation. Passive sensors that have no electrical circuitry and no metal contents are intrinsically safe for explosive and hazardous areas. Acoustic Intelligence collects and remotely correlates the data collected by Imager A48, allowing operational and maintenance areas to obtain information at the right time. The startup uses Imager A48, a group of microphones, and computation algorithms that visualize the intensity and location of noise sources. Acoustic Intelligence is a Chilean predictive maintenance startup that utilizes non-invasive acoustic microphones to monitor the inherent wear and tear of assets. Electronic innovations enable startups to develop non-invasive alternatives such as infrared or acoustic sensors, among others, for equipment condition analysis while providing better sensitivity at a reduced cost. Conventional monitoring sensors like accelerometers and force sensors are sometimes invasive and inoperable in hazardous conditions. Invasive sensors in continuous machine monitoring interfere with equipment operation, making the process inefficient. Acoustic Intelligence develops a Non-Invasive Predictive Maintenance solution Decentralized PdM improves business operations and reduces overall costs while increasing productivity. Lentiq’s process design helps data teams be independent and focus on data analysis closer to where data is generated. Also, the centralized prediction model forecasts outcomes based on historical data while complying with regulatory requirements. The startup’s solutions gather sensor data from machines, aggregate data, and push part of analytics closer to the edge. The US-based predictive maintenance startup Lentiq specializes in building decentralized PdM models. Startups build tailored PdM solutions that provide total control and security of the data while increasing the overall equipment effectiveness (OEE). Instead of relying on cloud computing, advancements in communication and electronics enable factories to maintain localized analytics hardware and software. Predictive maintenance demands high-end processing power for data collection and preprocessing. Lentiq creates Decentralized PdM Data Processing solutions Moreover, you can explore global hotspots for predictive maintenance startups and even download this graphic to include in your next presentation. The Global Startup Heat Map below highlights 5 predictive maintenance startups, developing technology-driven solutions. Global Startup Heat Map: 5 Predictive Maintenance Startups to Watch in 2021 When you are looking for up-to-date predictive maintenance solutions for your innovation units, R&D, or product development department, the StartUs Insights Discovery Platform gives you the most exhaustive collection and ensures you continuously discover new startups, scaleups, and technologies. The 743 companies that were analyzed for this report are identified using the StartUs Insights Discovery Platform, covering 1.379.000+ startups & scaleups globally. The 5 promising predictive maintenance startups you should watch in 2021 were hand-picked based on our data-driven startup scouting approach, taking into account factors such as location, founding year, and relevance of technology, among others. All of them develop innovative solutions spanning from acoustic prediction methods to photonic sensors. To introduce you to 5 recently founded startups, we analyzed 743 predictive maintenance (PdM) startups in total. Discover 5 hand-picked, global startups in this data-driven report! Despite the challenges caused by the COVID-19 pandemic and increasing economic uncertainty, new startups are founded every day. This year, you should know emerging predictive maintenance startups & how they will impact your company. Discover 5 Predictive Maintenance Startups You Should Watch in 2021
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