SUNNYVALE, Calif., June 30, 2017 /PRNewswire/ -- Agylytyx, a leading cloud-based analytic software vendor, today announced a new platform for analyzing IoT data. The Agylytyx Generator™ IoT platform represents an application of the vendor's novel Construct Library™ approach to the IoT marketplace. For the first time, companies can both explore their IoT data and make it actionable much more quickly than previously thought possible.
From PLC data streams archived as tags in traditional historians to time series data streaming from sensors attached to devices, the Agylytyx Generator™ aggregates and presents IoT data in a decision-ready format. The company's unique Construct Library™ ("building block") approach allows decision makers to create and explore aggregated data such as pressure, temperature, output productivity, worker status, waste removal, fuel consumption, heat transfer, conductivity, condensation or just about any "care abouts." This data can be instantly explored visually at any level such as region, plant, line, work cell or even device. Best of all, the company's approach eliminates the need to build charts or write queries.
One of the company's long-time advisors, John West of Clean Tech Open, noticed the Agylytyx Generator™ potential from the outset. West's wide angle on data analysis led him to stress the product's broad applicability. West said "Even as the company was building the initial product, I advised the team that I thought there was strong applicability of the platform to operational data. The idea of applying Constructs to a received data set has broad usage. Their evolution of the Agylytyx Generator™ platform to IoT data is a very natural one."
The company's focus on industrial process data was the brainchild of one the company's investors, Jim Smith. Jim is a chemical engineer with extensive experience working with plant floor data. Smith stated "I recognized the potential in the company's approach for analyzing process data. Throughout the brainstorming process, we all gradually realized we were on to something groundbreaking."
This unique approach to analytics attracted the attention of PrecyseTech, a pioneer of Industrial IoT (IIoT) Systems providing end-to-end management of high-value physical assets and personnel. Paul B. Silverman, the CEO of PrecyseTech, has had a longstanding relationship with the company. Silverman noted: "The ability of the Agylytyx Generator™ to address cloud-based IoT data analytic solutions is a good fit with PrecyseTech's strategy. Agylytyx is working with the PrecyseTech team to develop our inPALMSM Solutions IoT applications, and we are working collaboratively to identify and develop IoT data opportunities targeting PrecyseTech's clients. Our plans are to integrate the Agylytyx Generator™ within our inPALMSM Solutions product portfolio and also to offer users access to the Agylytyx Generator™ via subscription."
Creating this IoT focus made the ideal use of the Agylytyx Generator™. Mark Chang, a data scientist for Agylytyx, noted: "All of our previous implementations – financial, entertainment, legal, customer service – had data models with common 'units of measure' – projects, media, timekeepers, support cases, etc. IoT data is dissimilar in that there is no common 'unit of measure' across devices. This dissimilarity is exactly what makes our Construct Library™ approach so useful to IoT data. The logical next step for us will be to apply machine learning and cluster inference to enable optimization of resource deployment and predictive analytics like predictive maintenance."
Demonstrations of the Agylytyx Generator™ IOT Platform may be arranged through Richard Kursman VP Sales: email@example.com 408-498-5840 x105.
Agylytyx provides cloud-based enterprise business analytic software. The company's flagship product, the Agylytyx Generator™, frees up analyst time and results in better decision making across corporations. Agylytyx is based in Sunnyvale, California, and has locations in Philadelphia and Chicago, IL. For more information about Agylytyx visit www.agylytyx.com.
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