Preventing Breakdowns, Boosting Performance
Presage Insights
Presage Insights offers a predictive maintenance platform that analyzes asset data to forecast equipment failures. Their solution helps businesses reduce unplanned downtime and improve the reliability of maintenance operations through early detection of potential issues.
- Artificial Intelligence
- Data & Analytics
- Industrial Automation
- Internet of Things
- Software Only
Updated 17 months ago
Funding
Raised to date
$640.8KRaised 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.
Funding rounds are not available yet.
Founders
Product
Problem
Unplanned downtime and reactive maintenance strategies lead to increased operational costs, reduced asset lifespan, and inefficient resource allocation for industrial businesses. Traditional maintenance methods often fail to detect early signs of equipment failure, resulting in unexpected breakdowns and production losses.
Solution
Presage Insights offers an end-to-end predictive maintenance platform that leverages IoT sensors and AI-powered analytics to forecast equipment failures and optimize maintenance operations. The platform utilizes a plug-and-play IoT sensor, "Sager", to collect real-time machine health parameters such as vibration, temperature, and acoustics. This data is then processed using advanced signal processing techniques and machine learning algorithms to identify anomalies and predict potential failure modes. The InsightsAI platform provides automated diagnostic reports, work order management, and digitized checklists, enabling maintenance teams to proactively address issues, minimize downtime, and extend asset life.
Target Audience
The primary target audience includes maintenance and reliability teams in manufacturing, energy, automotive, and other industrial sectors seeking to reduce unplanned downtime, optimize maintenance costs, and improve asset performance.
Features
- Plug-and-play IoT sensor ("Sager") for rapid deployment and data collection
- Multi-sensor data acquisition, including tri-axial vibration, acoustics, temperature, and magnetic flux
- Advanced signal processing algorithms (Envelope, Autocorrelation, STFT, EEMD) for noise reduction and fault characteristic enhancement
- AI-powered diagnostics for 50+ failure modes, including unbalance, misalignment, looseness, and bearing faults
- Real-time alerts and notifications via SMS/Email upon anomaly detection
- Automated diagnostic reports validated by Level II/III vibration experts
- Connected CMMS for streamlined work order management and digitized procedures
- Sensor agnostic platform compatible with other sensors via MQTT and Modbus
- REST API integration with third-party software