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    Asset Management with Predictive Maintenance & Performance Optimization

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    Deployed on AWS
    Shoreline offers a new approach to asset management, 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

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    Shoreline IoT is revolutinizing industrial Asset Performance Management (APM). Our vision is to help the industrial world increase profitability, productivity, asset availablity 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 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

    Delivery method

    Deployed on AWS
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    Pricing

    Asset Management with Predictive Maintenance & Performance Optimization

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    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.

    12-month contract (2)

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    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

    AI Insights

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    Dimensions summary

    You buy this asset performance management platform as a one-year subscription based on how many measurement points, or sensors, you need to monitor. Two starter-kit options are offered. One covers 25 measurement points; the other covers 50. Both run for a 12-month term. Pricing scales by sensor count, so the larger kit monitors more equipment under the same annual commitment. The subscription is delivered as software-as-a-service, covering the platform and analytics for the sensors you enroll. Choose the kit that matches the number of assets you plan to monitor during the term.

    Top-of-mind questions for buyers

    Each enrolled sensor counts as one measurement point. One smart wireless sensor combines six sensors and can read up to 150 machine parameters, yet still counts as a single billed sensor. The 25 or 50 count sets how many sensors you can enroll during the term.
    The subscription is delivered as software-as-a-service. It covers the cloud portal, mobile app, predictive analytics, pre-built physics models, and support. The vendor describes one subscription that also covers hardware and connectivity for the pilot, including prepaid cellular service and accessories. No separate IT infrastructure or servers are required.
    Each kit caps the number of sensors you can enroll at 25 or 50 for the 12-month term. To monitor more equipment, choose the kit matching your planned sensor count at purchase. The vendor describes pay-as-you-grow subscription scaling, so contact them about adding capacity mid-term.
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    Helpful?

    Vendor refund policy

    Please reach out to Sales@ShorelineIoT.com 

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    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

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    Usage information

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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.

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Product comparison

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    Accolades

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    Top
    25
    In Anomaly Detection-Structured, Data Analysis
    Top
    50
    In Smart Home & City
    Top
    100
    In Industrial IoT

    Overview

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    AI generated from product descriptions
    Automated Anomaly Detection
    AI/ML self-supervised deep-learning algorithms that eliminate the need for historical data to identify asset performance anomalies and predictive maintenance requirements.
    Remote Asset Monitoring
    24x7 remote monitoring and management of asset performance across multiple machines and sites without requiring on-site domain experts or new IT infrastructure.
    Plug-and-Play Deployment
    Pre-configured sensors and end-to-end software platform designed for non-expert users to deploy with minimal setup complexity and configuration requirements.
    Scalable Data Acquisition
    End-to-end platform capable of acquiring, processing, and analyzing performance data from millions of monitored and previously unconnected industrial assets.
    Integrated SaaS Solution
    Unified subscription model combining sensors, analytics software, and asset performance management capabilities in a single platform without requiring capital expenditure.
    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
    Sensor Technology and Deployment
    Over half a million sensors deployed across multiple continents with capability to process more than 10 billion daily readings
    Predictive Intelligence and AI Processing
    Artificial intelligence processes sensor data to deliver early failure detection and actionable insights that prevent asset failures before occurrence
    Condition Monitoring Capabilities
    Advanced predictive intelligence system designed to eliminate unplanned downtime and extend critical asset operational life
    Expert Analysis and Support
    24/7 collaboration with certified analysts who provide data interpretation and optimization recommendations to maintenance teams
    Failure Prevention and Asset Reliability
    Sophisticated AI-driven processes deliver predictive maintenance insights to optimize asset performance and ensure operational reliability

    Contract

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    Standard contract
    No
    No

    Customer reviews

    Ratings and reviews

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    4.5
    1 ratings
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    1 AWS 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)
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