Quick Algorithm provides a plug-and-play IoT solution that utilizes automated AI data analysis to monitor machinery and building performance, enabling predictive maintenance and energy efficiency improvements. By integrating real-time data collection and anomaly detection, the platform helps industrial companies reduce energy costs by up to 39% and unplanned downtimes by 40%.
Funding
$1.2M 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 companies struggle with inefficient energy consumption, unplanned machinery downtime, and the complexity of integrating data from disparate sources for effective asset management. Traditional methods often lack real-time visibility and predictive capabilities, leading to increased operational costs and reduced productivity.
Solution
Quick Algorithm's Scops.ai is a plug-and-play IoT solution that enables companies to collect and analyze machinery and building data through wireless sensors and automated AI data analysis. The platform facilitates energy monitoring and predictive maintenance, improving energy efficiency and reducing unplanned downtimes. By creating a digital twin of assets, Scops aggregates data onto a single platform and uses AI algorithms to spot anomalies, providing data-driven insights for informed decision-making. The system integrates CMMS and APM features, offering a comprehensive solution for both industrial manufacturing and facility management.
Target Audience
The primary target audience includes maintenance managers, energy managers, IT managers, and facility managers in industries such as manufacturing, pharmaceuticals, chemicals, and facility management.
Features
- Wireless plug-and-play IoT sensors for current, temperature, vibration, and pump monitoring
- LoRaWAN® wireless technology for data transfer to the Scops Cloud
- AI-powered anomaly detection with interactive dashboards and alerts
- Digital twin creation for assets, aggregating data from various sources
- Predictive maintenance algorithms to prevent failures and reduce downtime
- CMMS and APM functionality for comprehensive asset management
- Integration with existing sensor setups via retrofitting options
- Mobile access for real-time monitoring and management