Key benefits with predictive maintenance on the edge

Cost-effective implementation

Stream Analyze dramatically cuts the financial barrier to entry for predictive maintenance by reducing data handling costs by over 99%.

Real-time decisions

Operating predictive maintenance directly on devices enables decisions to be made much faster than traditional methods and provides direct feedback to machine operators, which is essential with poor connectivity.

No connectivity needed

Designed for the toughest environments, our solution operates reliably even with limited network connectivity, ensuring continuous operation and reducing risk.

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Why choose Stream Analyze?

Cutting-edge technology

At the heart of Stream Analyze is our advanced edge AI engine, designed to process and analyze data locally, where the data is generated, providing faster, more accurate predictive maintenance insights.

Scalability

Stream Analyze is built to scale seamlessly with your operations, whether you are managing a single facility or multiple sites globally. Our platform can handle an increasing volume of data and devices and more complex system integrations without compromising performance.

Adaptive learning and improvement

Our solution doesn’t just predict failures; it learns from them, constantly refining predictive models to better meet your operational needs. This continuous improvement drives greater efficiency and reliability in your maintenance strategies.

Improved sustainability

The solution's efficient processing capabilities on high-frequency data mean that you can do more with less, helping to conserve energy and reduce your carbon footprint. This helps you to align with your sustainability goals while reducing operational costs.

Seamless system integration

Our solution is built to effortlessly integrate with your existing equipment and sensors, minimizing the need for extensive modifications and allowing you to leverage your current investments.

User-friendly interface and training

With an intuitive platform designed for ease of use, Stream Analyze reduces the complexity typically associated with predictive maintenance systems.

Advanced features

Google your devices for remote diagnostics

Instantly locate and diagnose any network device with our real-time search capabilities, allowing you to remotely investigate and address alarms efficiently.

Enhanced security and compliance

Local data processing minimizes data breach risks associated with cloud transfers, ensuring compliance with international standards like the European Data Act.

Predictive performance testing

Efficiently test and validate predictive models on extensive fleets of edge devices within a controlled staging environment. This pre-deployment simulation ensures that models perform optimally in real-world scenarios before going live, enhancing reliability and accuracy.

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Key industry applications

Manufacturing

In manufacturing, predictive maintenance is used to monitor production equipment and machinery to prevent unexpected breakdowns that can lead to costly production halts. Sensors can detect conditions that may lead to equipment failure, allowing maintenance teams to address issues before they cause operational disruptions.

Vehicle Health Monitoring

Many modern vehicles are equipped with sensors that collect data on various operational parameters like engine temperature, brake pad wear, battery condition, and more. This data can be analyzed to predict when maintenance is needed, often before the driver notices any issue.

Fleet Management

For commercial vehicles, predictive maintenance is integral to fleet management systems. It helps fleet operators monitor the health of each vehicle remotely and schedule maintenance only when necessary, thus optimizing fleet efficiency and reducing operational costs.

Energy Sector

In the energy sector, predictive maintenance is applied in power plants and renewable energy installations to optimize the maintenance of generators and turbines, thus enhancing energy production efficiency and safety.

Transportation

Railway companies and public transit systems use predictive maintenance to monitor vehicles and infrastructure. This ensures that components like engines, brakes, and electrical systems are maintained in optimal condition to prevent failures that could lead to delays or accidents.

How does it work?

Here’s how we take you from pilot to full-scale deployment:

Define & Align

We work with your team to identify key challenges, define specific failure patterns, and set measurable success criteria for predictive maintenance

Assess & Prepare

We assess sensor data availability, validate edge device compatibility, and ensure real-time analytics feasibility, eliminating deployment risks before they occur.

Pilot & Validate

A fast-track proof of value (PoV) tests predictive maintenance on a targeted asset group, proving real-world impact and ROI with live operational data.

Scale with Confidence

Once validated, we seamlessly expand AI-driven monitoring across all machines, sites, and fleets, integrating with existing systems for real-time diagnostics.

Continuously Optimize

AI models adapt and improve over time, refining maintenance schedules and automating predictive alerts to maximize efficiency and asset lifespan.

Define & Align

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We work with your team to identify key challenges, define specific failure patterns, and set measurable success criteria for predictive maintenance.

Assess & Prepare

east

We assess sensor data availability, validate edge device compatibility, and ensure real-time analytics feasibility, eliminating deployment risks before they occur.

Pilot & Validate

east

A fast-track proof of value (PoV) tests predictive maintenance on a targeted asset group, proving real-world impact and ROI with live operational data.

Scale with Confidence

east

Once validated, we seamlessly expand AI-driven monitoring across all machines, sites, and fleets, integrating with existing systems for real-time diagnostics.

Continuously Optimize

east

AI models adapt and improve over time, refining maintenance schedules and automating predictive alerts to maximize efficiency and asset lifespan.

Start small, see the results, and scale predictive maintenance across your entire operation—preventing failures before they happen.

FAQ

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What is Stream Analyze Predictive Maintenance Solution and how does it benefit my business?

Stream Analyze is an edge-based predictive analytics solution designed to optimize maintenance operations. It leverages real-time data analysis to prevent equipment failures and reduce downtime, ultimately leading to increased operational efficiency and significant cost savings.

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How does Stream Analyze reduce data costs?

Stream Analyze processes data directly on your devices. This eliminates the need to transfer vast amounts of data to the cloud, leading to over 99% reduction in transmission and storage costs.

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Can Stream Analyze operate in environments without internet connectivity?

Yes, Stream Analyze is designed to operate reliably even without network connectivity. This ensures continuous operation and reduces the risk associated with unreliable internet access, particularly in remote or challenging environments.

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What makes Stream Analyze's technology stand out?

Stream Analyze stands out with its advanced edge AI engine that not only processes and analyzes data on-site for swift and precise predictive maintenance but also offers unique real-time 'Googling' of devices. This feature allows operators to instantly locate and diagnose issues across their network. Additionally, our platform supports ongoing model maintenance and optimization, enabling continuous improvement of predictive algorithms based on real-world performance data.

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Can Stream Analyze handle the growth of my operations?

Absolutely. Stream Analyze is built for scalability. Whether you manage a single facility or multiple sites globally, the platform can handle increasing data volumes and complex system integrations without compromising performance.

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How does Stream Analyze improve sustainability efforts

By processing data efficiently on the edge, Stream Analyze allows you to do more with less. This results in lower energy consumption and a reduced carbon footprint, aligning with your sustainability goals while also reducing operational costs.

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What is the "Google Your Devices" feature?

This feature allows you to instantly locate and diagnose any device within your network. Much like using a search engine, you can quickly access real-time information about your devices, streamlining troubleshooting and maintenance tasks.

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Which industries can benefit from Stream Analyze?

Stream Analyze benefits a wide range of industries including manufacturing, vehicle health monitoring, fleet management, energy, and transportation. Any industry relying on equipment and machinery to operate efficiently can leverage Stream Analyze to predict potential issues and prevent costly downtime.

Achieve peak operational efficiency at scale

Key benefits with predictive maintenance on the edge

Cost-effective implementation

Real-time decisions

No connectivity needed

Why choose Stream Analyze?

Cutting-edge technology

Scalability

Adaptive learning and improvement

Improved sustainability

Seamless system integration

User-friendly interface and training

Advanced features

Google your devices for remote diagnostics

Enhanced security and compliance

Predictive performance testing

Key industry applications

Manufacturing

Vehicle Health Monitoring

Fleet Management

Energy Sector

Transportation

How does it work?

Define & Align

Assess & Prepare

Pilot & Validate

Scale with Confidence

Continuously Optimize

east

east

east

east

east

FAQ

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