Alteria Automation develops smart sensors and connectivity devices for real-time monitoring and predictive maintenance in industrial, environmental, and medical applications. Their technology addresses equipment failure by providing continuous data analysis through embedded edge micro-electronics and AI algorithms, enabling proactive maintenance and improved operational efficiency.
Funding
$220K 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
Equipment failure in industrial, environmental, and medical applications leads to downtime, increased costs, and potential safety hazards. Traditional monitoring methods often lack the real-time data and predictive capabilities needed for proactive maintenance. This results in reactive repairs and inefficient operational processes.
Solution
Alteria Automation provides a suite of smart sensors and connectivity solutions designed for real-time condition monitoring and predictive maintenance. Their sensors feature embedded pre-processing technology and can be deployed in wired or wireless configurations. The company's AI-powered software analyzes data from these sensors to identify potential equipment failures and optimize maintenance schedules. By providing continuous data analysis and predictive insights, Alteria Automation enables proactive maintenance, reduces downtime, and improves overall operational efficiency.
Target Audience
The primary customers are industrial facilities, environmental monitoring agencies, and medical equipment manufacturers seeking to improve equipment reliability and reduce maintenance costs through predictive maintenance strategies.
Features
- Smart sensors for acoustic energy, vibration, thermal, lubrication, current, voltage, inertial measurement, corrosion, IR imaging, environmental conditions, gas detection, and air quality monitoring.
- Sensors with embedded pre-processing capabilities for real-time data analysis.
- Wired and wireless connectivity options for industrial applications.
- AI-based software packages for predictive maintenance model development.
- Local or cloud-based database server solutions for data storage and analysis.
- Proprietary FFT vibration analysis for extracting relevant information.
- Non-contact temperature sensors with high sampling rates.
- Sensors for monitoring lubricant contamination in real-time.
- Multi-sensor platforms for measuring various environmental parameters.