Sold by: Shoreline AI
Deployed on AWS
Shoreline offers a new approach to asset management and emission monitoring, that is purpose-built for non-experts to deploy & implement a plug-n-play, fully-automated, one-stop solution that's infinitely scalable at costs lower than manual inspections and walk-around data-collection. Our DIY approach makes it easy for experts & non-experts alike, to use the Shoreline APM platform to improve overall productivity, extend equipment life, and to dramatically reduce maintenance costs.
4.5
Overview
Shoreline IoT is revolutionizing industrial Asset Performance Management (APM) and Emission Monitoring. Our vision is to help the industrial world increase profitability, productivity, asset availability and overall equipment reliability; by making it easy and less expensive to to unlock & process equipment asset-performance data from millions of machines, currently unmonitored. Our Emission Monitoring solution is a low cost and effective application for Methane and VOCs leak detection. We are able to pin point the leak location and provide duration and timing for leaks emerging from Slop Tanks, ReCip Compressors and PRVs on oil and gas pipelines. Our zero-friction, 100% self-managed, DIY approach enables our customers to gain critical insights and actionable information for all of the assets in their operating environments. Data acquisition, analytics and results are delivered by the industry-first, fully-automated, end-to-end platform that remotely monitors and manages asset performance 24x7, without the need of domain-experts or new IT infrastructure. A single SaaS subscription provides everything a customer needs; sensors & end-to-end APM Software subscription; all in a Zero-Capex deal, making our solution uniquely affordable and scalable to cover all manufacturing equipment / industrial assets. For multi-site, enterprise pricing please contact sales@shorelineiot.com .
Highlights
- Fully automated, end-to-end, AI/ML solution is affordable and highly scalable for all assets, especially the unconnected ones.
- Solution is purpose-build for non-experts with an easy plug-n-play approach. This reduces cost and complexity in rolling our fleet-wide Asset Performance Management
- This approach to APM, helps unlock value in comprehensive operational data with, using AI/ML self-supervised deep-learning that eliminates the need for historical data and experts to manage it.
Details
Sold by
Delivery method
Deployed on AWS
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Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
50 Sensor Starter-kit | 50 measurement-points/sensors APM platform subscription for 1yr term | $59,000.00 |
25 Sensor Starter-kit | 25 measurement-points/sensors APM platform subscription for 1yr term | $30,000.00 |
Dimensions summary
You buy this asset performance management platform through a one-year contract subscription. Pricing scales by the number of measurement-points or sensors you monitor. The two options differ only in sensor capacity: one covers 25 sensors, the other covers 50 sensors. Both are starter-kit subscriptions for a 1-year term. You pick the option that matches how many assets you plan to instrument. The subscription is all-inclusive, covering the platform for the sensor count you choose.
Top-of-mind questions for buyers
A sensor is one smart device you self-install on an asset, such as a pump, compressor, motor, or blower. Each sensor monitors one measurement-point. The 25 or 50 count sets how many of these devices your subscription covers. Field technicians install them, and they auto-connect to the cloud.
The subscription is an all-inclusive SaaS fee. It covers the platform, cloud connectivity, edge analytics, and access to a library of pre-built asset physics models. No extra hardware, software, or third-party services are required. You get predictive maintenance and monitoring for the sensor count you choose.
Each subscription covers a fixed number of measurement-points for the one-year term: 25 or 50 sensors. To monitor more assets, you choose the option that matches your planned sensor count. For needs beyond the listed options, contact the vendor.
shorelineai.us
Helpful?
Vendor refund policy
Please reach out to Sales@ShorelineIoT.com
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
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Vendor resources
Support
Vendor support
AWS infrastructure support
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AI generated from product descriptions
Predictive Maintenance Analytics
AI/ML self-supervised deep-learning algorithms that eliminate the need for historical data to predict asset failures and maintenance requirements
Emission Detection and Localization
Methane and VOCs leak detection with pinpoint leak location identification and duration/timing analysis for industrial equipment including slop tanks, reciprocating compressors, and pressure relief valves
Automated Data Acquisition and Processing
Fully automated end-to-end platform that remotely monitors and manages asset performance 24/7 with integrated sensor data collection and analytics without requiring domain experts or new IT infrastructure
Plug-and-Play Deployment
Self-managed, zero-friction deployment approach designed for non-experts that includes sensors and end-to-end APM software in a single SaaS subscription with zero capital expenditure requirements
Scalable Multi-Asset Monitoring
Infinitely scalable solution capable of monitoring unconnected and connected industrial assets across multiple sites and manufacturing equipment from a centralized platform
IoT Data Collection Infrastructure
Access to IoT infrastructure for collecting data from remote and hard-to-reach locations with perpetual ownership of collected data
AWS IoT Core Integration
SaaS API connector that enables connection of remote field data endpoints to AWS IoT Core
Device Administration Platform
SaaS software platform for configuring IoT endpoints and displaying collected data
Industrial-Grade Sensor Support
Support for 14 types of industrially-rated sensors including temperature, humidity, vibration, pressure, current, and motion detection
Multi-Stream Data Subscription
Capability to subscribe to multiple concurrent IoT datastreams with unlimited usage of Asset Monitoring IoT devices
Predictive Failure Detection
AI-powered processing of over 10 billion daily readings to identify potential asset failures before they occur
Sensor Network Coverage
Deployment of over half a million sensors across multiple continents for comprehensive asset monitoring
Real-time Data Processing
Sophisticated AI algorithms that process sensor data to deliver actionable insights for maintenance optimization
Expert Analysis Integration
24/7 collaboration with certified analysts who interpret monitoring data and provide maintenance recommendations
Unplanned Downtime Prevention
Advanced predictive intelligence system designed to eliminate unplanned downtime through early failure detection and prevention
Standard contract
No
No
Customer reviews
VinayThota
AI guidance has boosted my Python learning and now speeds up complex coding tasks
Reviewed on Sep 02, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Shoreline AI is getting knowledge on how to use AI and coding, specifically coding skills. I actually use Shoreline AI for learning coding skills because I want to get some hands-on experience with Python. To improve myself, I am learning Python coding from Shoreline AI.
What is most valuable?
Shoreline AI is helping me by giving me detailed, step-by-step examples on all the topics, which is really very helpful to me.
The best features Shoreline AI offers in my experience include providing good examples, explaining the topics in detail, and doing so in an easy-to-understand way.
When it comes to detailed explanations and easy-to-understand examples, the topic that stands out to me the most is Python loops, loop conditions, and if conditions, as it really helped me grasp a tricky concept.
Shoreline AI has positively impacted my organization because, as I mentioned before, I am using Shoreline AI for my Python day-to-day programming, which is helping me a lot and my organization. Shoreline AI has helped my organization by providing faster problem-solving.
What needs improvement?
Shoreline AI can be improved by addressing situations where I have experienced it giving me wrong answers. I update Shoreline AI with the right information so that going forward, it can provide the right information to the right users.
Regarding Shoreline AI's AI capabilities, security is a major concern in any organization, so we need to ensure data is not sent to wrong people. That is the only concern I have about Shoreline AI regarding governance and security.
Under heavy workloads or during peak times, I have seen some slowness with Shoreline AI, but during off-hours, it is very fast.
For how long have I used the solution?
I have been working in my current field for roughly twelve years.
What do I think about the stability of the solution?
I find Shoreline AI stable.
What do I think about the scalability of the solution?
Shoreline AI's scalability is very comfortable and easy to use.
Which solution did I use previously and why did I switch?
We did not use any other solution before choosing Shoreline AI.
How was the initial setup?
Implementing Shoreline AI in my organization was initially difficult, but when we started using it on a day-to-day basis, it became very easy for us.
What was our ROI?
I have seen a return on investment using Shoreline AI, sharing relevant metrics such as time saved, money saved, and fewer employees needed. Previously, we used to do the same work in three to four weeks, but using Shoreline AI, we were able to finish the work in two weeks.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing for Shoreline AI is pretty good compared to other solutions.
Which other solutions did I evaluate?
Before choosing Shoreline AI, we evaluated other options such as ChatGPT and Cloud.
What other advice do I have?
I am comfortable with the features and do not wish to add anything else about them.
I do not have any other improvements needed for Shoreline AI that I have not mentioned yet.
Shoreline AI integrates with other tools or systems we use by having a good ability to interact with other tools such as Splunk or any automation tools, establishing good communication between them.
I would describe the learning curve for new users starting with Shoreline AI as effective and productive, especially if they are given any kind of training videos.
I am pretty comfortable with the documentation and training materials provided by Shoreline AI.
Shoreline AI helps with compliance or regulatory requirements in my organization by ensuring that all the policies are in place and we monitor the data and what traffic is going out. We monitor all the cloud information and cloud data.
During any outage with Shoreline AI, we send notifications to the team not to use it because of the downtime, so we can only use the feed that was provided to Shoreline AI, but not any new ones.
Compared to other AI tools, I find Shoreline AI pretty neat and easy to use.
I would rate this review as a nine out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)