Stream Analyze | Leading Edge Analytics Platform for Real-Time Data Processing

We fit in any device

Stream Analyze Platform is completely OS agnostic and independent of other software. It is built for being embedded into, or integrated with other systems such as Android, MCU:s, AWS, Azure, HMS tag engine, Kafka, Event Hub, Tensorflow, and Matlab, to name a few.

Small footprint

• Using a modular design based on advanced research, it has a limited footprint with a size ranging from 17kB to 8MB.

• In its largest implementation, the entire Stream Analyze Engine can run on the device, whereas the smallest implementation still allows full functionality when accessed remotely from an Stream Analyze Engine running on a regular computer.

• This means Stream Analyze Engine can be installed on any device without adding any hardware or software integration, immediately making your product smart and ready for an intelligent dialogue in real time.

Ask your device anything, anytime

Stream Analyze Platform contains everything that is needed for an interactive analysis of sensor data directly on an edge device, in real time. This contrasts with the current trend within AI and IoT, using the massive amount of storage and computing power of the cloud for analyzing data from connected devices.

The cloud-based strategy faces three major challenges—the cost of transmitting, storing, and processing data centrally in the cloud; the security risk when data leaves the assets; and the difficulty to build automated systems due to risks for interruptions and latencies when data is transferred to the cloud and back.

The advantage with edge-based analytics

• Stream Analyze Platform's edge-based strategy addresses these challenges by keeping the data on the device and by performing data analysis on the data stream in real time, without the need for uninterrupted connectivity.

• Being highly interactive, Stream Analyze Platform allows you to upload any function of your choice, including financial models for calculating cost of use, on the fly.

• Once Stream Analyze Engine is deployed on your device, you can start asking your device anything, anytime. Without relying on the cloud.

You are in control

Most AI tools require deep programming skills to create powerful analytical models. This means that you need to hire expert programmers or consultants who must be involved every time you change a model.

It also means that your domain experts such as product owners, engineers, data scientists, and analysts cannot access, adjust, or deploy models on their own, which in turn leads to delays in your product development and longer time to market.

Giving you direct access

• Stream Analyze Platform is built with the engineer and the analyst in mind. It comes with a high-level query and analysis language and a Visual Analyzer, making it extremely simple for engineers and analysts to build their own AI models without the need for deep AI coding skills. The Visual Analyzer combines a graphical query editor and a responsive and interactive real-time visualization of query results, putting the product owner or the analyst in the driver’s seat.

• There is also a tight integration with common spreadsheet systems such as Excel, making it possible to export formulas in financial spreadsheets directly into Stream Analyze Engine. This allows your financial staff to make your products calculate and communicate any desired financial KPI continuously, in real time.

• All in all, we are putting a tool in the hands of people in the whole organization, allowing them to change the way they do business. Forever.

Unlock the potential

Transforming the ordinary into the extraordinary, Stream Analyze unleashes the potential of artificial intelligence at the edge. Our cutting-edge platform, built on decades of research and innovation, equips any device, machine, or asset with real-time analytical capabilities, igniting an industrial evolution towards smarter, data-driven operations.

Harness the future

As IoT devices multiply, they trigger a data explosion, escalating storage costs, security concerns, and the need for immediate decision-making. However, edge computing tames these challenges by processing data where it’s generated, reducing costs, enhancing security, enabling real-time decisions, and aiding regulatory compliance. Embrace edge computing, turning hurdles into opportunities.

Decades of innovation

Our journey started in 1976 with our co-founder, Tore Risch’s exploration into databases and AI. Pioneering research led to the development of a powerful tool capable of analyzing large data streams in real time, on any device. The realization of this unique technology’s potential in the era of IoT gave birth to Stream Analyze in 2015, committed to empowering businesses with real-time, edge-based data stream analytics. Our distinctive blend of deep knowledge and innovative technology forms the foundation of our commitment to enhancing businesses’ intelligence at the edge.

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We empower operations

At Stream Analyze, we empower businesses by making their devices and assets smarter through our analytical edge AI platform. We enable real-time analytics, boost operational uptime, enrich customer insights, and introduce software-driven services. Our platform is designed to deploy on resource-limited devices and scale to orchestrate vast fleets, seamlessly transforming how businesses operate.

Unfold your insights

Tapping into real-time data streams can be complex. Stream Analyze simplifies this, accelerating your operations and unveiling novel opportunities. Ready to redefine your edge AI capabilities? Let Stream Analyze be your partner in this transformative journey. Together, we'll harness the true power of analytical edge AI.

Ask any device anything, anytime

We fit in any device

Ask your device anything, anytime

You are in control

Unlock the potential

Harness the future

Decades of innovation

We empower operations

Unfold your insights

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