Auk Industries provides a plug-and-play Industrial IoT (IIOT) and analytics platform for smart factories seeking operational excellence. The system uses edge processing and advanced algorithms to capture real-time machine data, establishing performance baselines and identifying efficiency gaps. This self-deployable, no-code solution delivers actionable insights quickly to improve productivity and Overall Equipment Effectiveness (OEE).
Funding
$5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many factories still rely on manual data collection and outdated systems, leading to inefficiencies and a lack of real-time visibility into operational performance. This makes it difficult to identify bottlenecks, optimize processes, and proactively address potential issues before they impact production.
Solution
Auk Industries offers a modular Industrial IoT (IIoT) system that provides real-time data and analytics to enhance factory productivity. The system uses wireless sensors and edge processors to capture data from machines, tracing micro-stops and speed losses at a rate of 10,000 readings per second. This data is then aggregated and analyzed using advanced algorithms to establish baseline performance, identify gaps, and track shop floor performance. The no-code, plug-and-play setup allows for self-deployment and integration with various machine types, providing actionable insights through a user-friendly software interface. This enables factories to monitor performance, identify inefficiencies, and make data-driven decisions to optimize operations.
Target Audience
The primary target audience includes factories in the F&B, consumer products, metal processing, precision engineering, packaging, electronics, and semiconductor industries seeking to improve operational efficiency and gain real-time visibility into their production processes.
Features
- Wireless sensors and IoT edge processors capture 10,000 readings/second
- No-code, plug-and-play setup for rapid self-deployment
- Integration with all machine types without third-party dependencies
- Advanced algorithms analyze real-time data streams to establish baseline performance and identify gaps
- Real-time data visualization of single assets and plant-wide performance tracking
- Digital Performance Management, Asset Efficiency Optimisation, Real-time Quality Monitoring, Predictive Maintenance, Energy & Sustainability Enablement, Material Consumption Analysis, Labor Productivity Improvement
- Secure data transmission and storage