Predicto offers a predictive maintenance solution that forecasts malfunctions in industrial equipment. Their platform provides real-time monitoring to help businesses prevent downtime and optimize equipment performance.
Funding
$26.3K 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
Unexpected equipment failures in industrial settings lead to costly downtime, safety hazards, and increased maintenance expenses. Traditional maintenance approaches often focus on critical assets, leaving other equipment vulnerable to breakdowns and resulting in production halts. Implementing predictive maintenance can be challenging due to high implementation costs, lack of data infrastructure, skill gaps, uncertain ROI, complex integration, and resistance to change.
Solution
Predicto offers a plug-and-play predictive maintenance solution that monitors both critical and non-critical industrial equipment to forecast malfunctions. The system uses sensors to measure vibration and temperature, analyzing machine data to identify anomalies before they escalate into failures. By providing a complete solution from sensor to AI-powered analytics, Predicto enables businesses of all sizes to enhance equipment reliability at scale. The cloud-based system requires minimal setup, delivering actionable reports and email notifications of potential issues from the first week of deployment.
Target Audience
Predicto targets plant managers, maintenance teams, and operations leaders across various industries, including pharma, iron and steel, beverage, mining, food, and chemical and plastic, seeking to minimize unplanned downtime and optimize maintenance costs.
Features
- Wireless industrial node sensors measuring tri-axial vibration and surface temperature with a sampling rate up to 4.8KHz
- Advanced signal processing on the edge, calculating key vibration KPIs such as RMS and FFT
- Cloud-based platform accessible from all devices, providing 24/7 automated condition monitoring
- Predictive models forecasting malfunctions based on vibration and temperature data
- User-friendly dashboard displaying the current health condition of all monitored assets
- Automated alerts for changes in machine condition and historical logs of important events
- Plug & Play installation with no complex integration or specialized staff required