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Whitepapers & Research

Whitepapers

Discover how our innovative technology is pushing the edge of what is possible.

14.6.2023

Stream Analyze – Making stupid things smart

Discover the game-changing potential of edge computing in industries. Real-time insights, improved efficiency, and customer experiences await. Explore the benefits and use cases in this insightful ebook.
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20.2.2023

Deploying ultra-low power machine learning at the edge

This white paper by the tinyML® Foundation explores challenges and solutions in deploying ultra-low power ML at the edge, including a practical case study from Stream Analyze.
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Research

Innovating the future in edge analytics.

From Publication to Production: Interactive Deployment of Forklift Activity Recognition

12.4.2024
This paper demonstrates the deployment of machine learning (ML) models on a real forklift truck and the utilization of an interactive method that essentially bridges the gap between laboratory and realistic settings of the forklift application.
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Massive scale-out of expensive continuous queries

8.1.2011
A parallelized stream splitting operator enabling scalable execution of expensive continuous queries over high-volume data streams, achieving network-bound maximum stream rates and energy efficiency, with demonstrated scalability on the Linear Road Benchmark.
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Scalable validation of industrial equipment using a functional DSMS

8.16.2016
A stream validation system called SVALI is developed in order to continuously validate correct behavior of industrial equipment.
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Scalable Real-Time Analytics for IoT Applications

10.8.2021
Combining edge data stream management system (EDSMS) and NoSQL database MongoDB for scalable analytics in large-scale IIoT applications, enabling real-time and historical analytics and supporting advanced analytics through extended query processing (EQP) system.
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Analytics of IIoT Data Using a NoSQL Datastore

10.8.2021
Comparative analysis of RDBMS and NoSQL approaches in distributed IIoT applications, integrating edge computing to overcome scalability, heterogeneity, and limitations in advanced analytics.
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News

Stay informed with the latest updates.

Stream Analyze Recognized as One of STL Partners' "Top 100 Edge Companies to Watch in 2024"

Mar 15, 2024
Stream Analyze, a leader in edge AI technology, is proud to announce its inclusion in STL Partners' prestigious list of "Top 100 EdgeCompanies to Watch in 2024".
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Elevate Your Projects: SA Engine 5.3.0 Unleashes Powerful Upgrades

Oct 16, 2023
Stream Analyze, a leader in edge analytics software, proudly introduces SA Engine version 5.3.0, an important step forward in our commitment to engineering excellence. This release introduces a host of technical enhancements and features designed to enhance your user experience.
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Stream Analyze to Showcase Next-Gen Edge Analytics Platform at MOVE 2023, London's Premier Mobility Event

Jun 20, 2023
Stream Analyze, a pioneering firm specializing in analytical AI for edge devices, is excited to participate in MOVE 2023, the premier global tech mobility and start-up event, held in London 21-22 June 2023.
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Stream Analyze Secures €2.5 Million European Innovation Council Grant To Advance Edge Analytics Platform

Dec 21, 2022
The grant from European Innovation Council supports Stream Analyze's innovation in edge analytics, enabling efficient AI deployment on resource-constrained devices for transformative industrial insights.
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Stream Analyze Wins Prestigious Bona Postulata Award

May 9, 2022
Stream Analyze, a pioneering deep tech company, has been honored as one of the winners of the coveted Bona Postulata Award, an accolade given to companies in Uppsala Region demonstrating strong growth potential.
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Stream Analyze Selected as One of the Ny Teknik 33 Winners, Cementing Its Position as a Top Swedish Tech Startup

Oct 22, 2021
Stream Analyze is delighted to announce that it has been selected by Sweden’s most distinguished newspaper within engineering, Ny Teknik, as one of Sweden’s top-33 startups. This recognizes the company's potential to make a substantial impact on both the Swedish and global markets.
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