Shoreline IoT provides a cloud-managed asset performance management platform that utilizes self-installed smart sensors and pre-built AI models for real-time predictive maintenance and methane leak detection. This technology enables organizations to reduce unplanned downtime and maintenance costs by 30-50%, while also monitoring and minimizing methane emissions.
Funding
Funding not disclosed
Founders
Product
Problem
Many industrial facilities struggle with unplanned downtime, high maintenance costs, and regulatory compliance issues related to methane emissions due to a lack of real-time visibility into asset health and performance. Traditional asset performance management solutions are often complex, expensive, and require specialized expertise for deployment and maintenance.
Solution
Shoreline IoT provides a cloud-managed asset performance management (APM) platform that simplifies predictive maintenance and emissions monitoring. The platform utilizes self-installing smart sensors that connect directly to the cloud, eliminating the need for gateways and complex IT infrastructure. Shoreline's pre-built AI models, based on a library of over 30,000 asset physics models, automatically provision the APM system for real-time condition monitoring and predictive analytics. This enables organizations to improve asset reliability, optimize operations, reduce their carbon footprint, and avoid costly downtime and regulatory penalties.
Target Audience
Shoreline IoT targets asset-intensive industries such as oil & gas, renewable energy, manufacturing, chemicals, pharmaceuticals, and data centers seeking to improve asset reliability, reduce maintenance costs, and enhance sustainability.
Features
- Self-installing, auto-provisioning smart sensors for rapid deployment
- Direct sensor-to-cloud connectivity, eliminating the need for gateways
- Pre-built AI/ML models for machine-specific predictive analytics
- Real-time condition monitoring and anomaly detection
- Vibration analysis for early detection of mechanical issues
- Methane and VOC leak detection with precise location identification
- Integration with AWS IoT Core, Lambda, Aurora, S3, and SageMaker for scalable and secure data processing
- Mobile app for remote monitoring and alerts