Shoreline IoT

About Shoreline IoT

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.

```xml <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. </problem> <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. </solution> <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 </features> <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. </target_audience> <revenue_model> Shoreline IoT operates on a 100% subscription-based model, providing a cost-effective and scalable APM solution without requiring significant capital expenditure. </revenue_model> ```

What does Shoreline IoT do?

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.

Where is Shoreline IoT located?

Shoreline IoT is based in Campbell, United States.

When was Shoreline IoT founded?

Shoreline IoT was founded in 2016.

Who founded Shoreline IoT?

Shoreline IoT was founded by Kishore Manghnani.

  • Kishore Manghnani - CEO, Co-Founder - AI/ML Industrial SaaS Platform, IoT, Wireless, Smart Home
Location
Campbell, United States
Founded
2016
Employees
62 employees

Shoreline IoT

7
Relative Traction Score based on online presence metrics compared to companies in the same age group.

Executive Summary

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.

shorelineiot.com10K+
Founded 2016Campbell, United States

Funding

No funding information available.

Team (50+)

Kishore Manghnani

CEO, Co-Founder - AI/ML Industrial SaaS Platform, IoT, Wireless, Smart Home

Company Description

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.

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

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.

Revenue Model

Shoreline IoT operates on a 100% subscription-based model, providing a cost-effective and scalable APM solution without requiring significant capital expenditure.

Sources:

This profile is AI-generated from web data and may contain inaccuracies. Want to correct or remove an entry? Owners can claim edits via their company email domain, and signed-in users can submit sourced suggestions.