RESTON, Va., Feb. 15, 2017 /PRNewswire/ -- PrecyseTech Corporation ("PrecyseTech") announced today an expanded business relationship with Agylytyx, including using the Agylytyx SaaS-based Generator to offer users new, advanced, powerful visualization options. Agylytyx is an SAP Preferred Partner, enabling PrecysTech's proven Industrial IOT ('IIOT') asset tracking and management systems and cloud-based inPALMsm SaaS solutions to seamlessly integrate with users' ERP/SAP systems via Agylytyx.
McKinsey studies estimate today's IoT revolution will generate $11 trillion economic value by 2025, and notes interoperability will be critically important, accounting for 40 to 60 percent of the total. The Agylytyx platform and technology provides real time access and analytics to enterprise ERP systems, significantly expanding the reach of Precystech's current asset management and analytics solutions, moving beyond traditional sensor data, providing insights and analytics on the relationship between often isolated 'islands of information' within enterprises.
"PrecyseTech's upcoming inPALMSM portfolio of secure cloud-based asset management applications and analytics is market leading and provides users with a portfolio of exciting new business management tools. For example, applying Agylytyx's financial analytics helps users process and analyze data to improve efficiency and profitability. These new business management tools are positioning PrecyseTech to address today's IoT market revolution," said Paul B. Silverman, PrecyseTech President and CEO. "Our users can expect to see exciting new inPALMsm asset management and embedded and cloud- based predictive analytics offerings in coming months," said Silverman.
The initial inPALMsm v.1 SaaS offering is scheduled for beta release on March 1st. The inPALMsm v.2 offering, including the Predictive Analytics and Metrics Module ("PAMM"), will be released for user beta tests on March 21st.
"We are committed to making the inPALMsm management and analytics portfolio the very best secure cloud based asset management and analytic offering available anywhere," said Rahul Argade, Agylytyx CTO. "We are dedicating a talented team to ensure we meet the PrecyseTech's ambitious objectives to secure a leadership position creating enhanced asset management and analytics solutions for global Fortune 1000 users," said Argade. Mr. Argade is also serving as Acting Director- of the inPALMsm Software and Analytics Product Management group within PrecyseTech.
PrecyseTech is a leading pioneer of Industrial IoT (IIoT) Systems providing end-to end management of high-value physical assets and personnel. PrecyseTech's proprietary technology provides reliable performance in harsh, indoor and outdoor environments, with affordable, 'micro-beacon' infrastructure and long battery life. PrecyseTech's upcoming cloud-based inPALMsm portfolio of SaaS IIoT applications linked to PrecyseTech remote 'Smart Agents" enable enterprises to track real time status of critical remote assets including people, vehicles, and equipment, provide users with a powerful suite of new SaaS tools to improve productivity, cost performance, and worker safety. Besides typical IIoT management functions, e.g., identification, location, telemetry, and M2M, PrecyseTech Smart Agents support additional features using proprietary patented technologies. PrecyseTech's solutions also employ proven proprietary bi-directional air protocol that incorporate the PrecyseTech proprietary Local Positioning System for harsh and indoor environment and Assisted GPS (A-GPS) for outdoor into a single Smart Agent. PrecyseTech solutions address applications in airports, water facility contracting, logistics, energy, vehicle distribution and border patrol, industrial manufacturing and other hazardous and non-hazardous heavy industries. For more information, please visit our website at www.PrecyseTech.com.
Agylytyx provides cloud-based enterprise business analytic software solutions. The company's flagship product, the Agylytyx Generator, frees up analyst time and results in better enterprise decision making. The Agylytyx Autosense product monitors existing data streams to assist in developing proactive strategies for investment decisions. Agylytyx Autosense uses collective inferencing and artificial intelligence to assess alternative investments and empirically determine which are more likely to succeed. It can also detect and alert to different financial conditions before they emerge. The Agylytyx Optimizer helps companies choose the combinations of funding levels and projects that return the most benefit for their investment. The Agylytyx Optimizer functions in an atmosphere of uncertainty, project dependencies and strategy pre-requisites to identify the set of the investments that represents the highest possible "bang for the buck" within given parameters. Agylytyx is based in Sunnyvale, California, and has locations in Philadelphia and Chicago, IL. For more information about Agylytyx visit www.agylytyx.com or contact Scott Gripenstraw; email@example.com; Tel :(408) 498-5840.
Certain statements above, in press releases and PrecyseTech officials' oral statements are "Forward-Looking Statements" (FLS) according to the Private Securities Litigation Reform Act of 1995 (the "Act"). FLS include statements predictive in nature, depending upon or referring to future events / conditions, including words like "believes," "anticipates," "intends," "plans," "expects," and similar expressions. Statements concerning future financial performance (revenues, earnings, and growth rates), ongoing business strategies / prospects, and future actions, which may be provided by management, are also FLS as defined by the Act. The actual and any future results, performance or achievements of the Company, expressed or implied, may be materially different and vary significantly for different reporting periods due to FLS that involve known and unknown risks and other factors. Management believes that the assumptions made and expectations reflected in the FLS are reasonable. There is no assurance that the underlying assumptions will prove to be correct and the actual future results may be different from expectations expressed above. These statements are not guarantees of future performance.
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SOURCE PrecyseTech Corporation