Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights into the manufacturing industry. This time, you get to discover five hand-picked acoustic sensor solutions impacting manufacturing companies.
Out of 142, the Global Startup Heat Map highlights 5 Top Acoustic Sensor Solutions impacting Manufacturing Companies
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 142 exemplary startups & scaleups we analyzed for this research. Further, it highlights five startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these five startups & scaleups in this report. For insights on the other 137 acoustic solutions for manufacturing companies, get in touch with us.
Agen enables Remote Machine Condition Monitoring
Founding Year: 2016
Location: Christchurch, New Zealand
Use Agen’s solution for Predictive Maintenance
New Zealand-based startup Agen offers predictive maintenance solutions for industrial units. The startup’s wireless sensor solution, Orlando 200, includes a 3-axis vibration sensor with a user-configurable sampling rate and a number of samples. It offers industrial maintenance professionals early warnings of anomalies in large-scale industrial deployments. The WiFi-enabled sensor also allows regular firmware updates and remote online configuration, enabling reliable, flexible, and affordable remote condition monitoring.
Auring provides Vibration Monitoring
Founding Year: 2016
Location: Gurgaon, India
Partner with Auring for Machine Vibration Data
Auring is an Indian startup that develops an edge and cloud computing platform to capture complex industrial equipment data. The startup’s solution analyses vibration data and provides alarms for critical situations as well as recognizes patterns for predictive maintenance. Auring also offers secure sensors that are easy to install and certified for industrial and normal environments to track machine utilization. The vibration analytics is easy to integrate with enterprise resource planning (ERP) and business intelligence dashboards, optimizing production based on machine conditions.
Senzoro develops Ultrasonic Sensors
Founding Year: 2019
Location: Vienna, Austria
Work with Senzoro for Machine Failure Identification
Austrian startup Senzoro combines ultrasonic sensors and AI to develop predictive maintenance systems. The broadband ultrasonic sensors capture the distinctive sound of machine components and the AI analyzes these sounds to identify damaged machine parts like bearings. This allows maintenance managers to plan and manage maintenance operations, including part changes and bearing lubrication, to minimize manufacturing downtimes.
Soundsensing offers Sound-based Health Monitoring
Founding Year: 2019
Location: Oslo, Norway
Collaborate with Soundsensing for Noise Monitoring
Norwegian startup Soundsensing develops an Internet of Things (IoT)-based acoustic sensor. The startup’s system leverages machine learning (ML) to detect defects in equipment before failure, thereby preventing accidents. Moreover, it reduces energy consumption due to unregulated equipment operation at the wrong time. This way, Soundsensing’s solution allows round-the-clock machine monitoring where manual monitoring is not practical.
Weles builds Particle Velocity Sensors
Founding Year: 2016
Location: Rybnik, Poland
Collaborate for Vibro-acoustic Measurements
Weles is a Polish startup that provides particle velocity sensors to facilitate vibro-acoustic measurements. The startup’s sound probes analyze any sound field without frequency limitations. These include vibrations due to imbalance in rotating masses and noise due to loosely fit parts. The probes find application in laboratories, R&D departments, and manufacturing plants. Further, Weles’ custom sound probes address noise vibration harshness (NVH) challenges for vehicles and industrial machinery.
Discover more Manufacturing Startups
Manufacturing startups such as the examples highlighted in this report focus on anomaly detection, assisted maintenance, real-time condition monitoring as well as AI and industrial IoT (IIoT). While all of these technologies play a major role in advancing the manufacturing industry, they only represent the tip of the iceberg. To explore manufacturing technologies in more detail, simply let us look into your areas of interest. For a more general overview, download our free Manufacturing Innovation Report to save your time and improve strategic decision-making.
