AIsing develops embedded edge AI solutions for predictive maintenance and vibration suppression in industrial machinery, utilizing proprietary algorithms that operate without cloud dependency. Their technology enables real-time monitoring and forecasting of equipment failures, significantly reducing downtime and maintenance costs for manufacturers.
Funding
$8.5M 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 industrial facilities face challenges in predicting equipment failures and optimizing machinery performance due to the complexity of modern systems and the limitations of traditional monitoring methods. Unplanned downtime, inefficient operations, and increased maintenance costs are common consequences.
Solution
AIsing provides embedded edge AI solutions designed for predictive maintenance and real-time vibration suppression in industrial machinery. Their proprietary AI algorithms operate directly on edge devices, eliminating the need for cloud connectivity and enabling real-time data processing. The solutions facilitate early detection of equipment anomalies, predict potential failures, and optimize machine control to minimize downtime and maintenance expenses. AIsing's technology enhances operational efficiency and extends the lifespan of critical assets by enabling proactive maintenance strategies and optimized performance parameters.
Target Audience
AIsing's primary customers include manufacturers, energy companies, and infrastructure operators seeking to improve equipment reliability, reduce maintenance costs, and optimize operational efficiency through AI-driven predictive maintenance and control.
Features
- Embedded AI algorithms for real-time analysis and prediction on edge devices
- Predictive maintenance solutions that forecast equipment failures based on machine data
- Vibration suppression AI that optimizes machine control to reduce wear and tear
- Fault-prognosis detection applications providing early warnings of potential failures
- AiiR® series of AI algorithm libraries, including AiirMST®, AiirMSAT®, AiirDNN®, and AiirDTW®
- MSAT++ software specialized for anomaly detection on microcontrollers, supporting individual difference correction after installation on machines
- AiirDNN, a deep learning algorithm software that can be mounted on a microcomputer, achieving both lightness and accuracy through technology development specialized for embedded systems
- AiirDTW, a pattern matching algorithm for time-series data that enables operation on a microcomputer while being conscious of real-time performance
- Memory Saving Tree, a general-purpose edge AI algorithm software that reduces inference processing time and memory usage