SCIENXIA™ is HydroSmart Technologies’ proprietary machine learning AI algorithms running on edge devices & scalable cloud engines processing real-time local & aggregated data streams for near real-time responsiveness, analytics, dashboards, notifications, and security authentications generating actionable Water Intelligence for Smart Cities applications.
SCIENXIA is an acronym for Source Component Identification and Extraction with Neural Cross-Entropy Information Analysis deep learning algorithms designed by HydroSmart Technologies’ world-leading data scientists to provide real-time water intelligence derived from big data garnered at the exciting intersection of High Technology, Edge & Cloud computing, Clean Tech, Smart Cities, Smart Homes, and IoT.
More than
59
Issued patents authored by our data scientists
More than
28
Years designing & applying neural network learning algorithms in civil & military applications
More than
20
Years developing & commercializing Intelligent Water solutions
More than
3,000,000,000
Smart devices sold annually integrating technology co-fathered by our scientists
Our data scientist are experts in neural networks and deep machine learning modeling & applications – from ubiquitous consumer devices to classified defense Electronic Counter-Countermeasures
Our engineers have been instrumental in the authoring of wired & wireless technology connectivity standards – including USB, USB OTG, MoCA, Zigbee, and much more…
Our experts have had the distinction of being appointed as leading authority and Guest Chief Editor for the peer-reviewed scientific journal Proceedings of the IEEE special issue on Smart Homes
Our technologists architected the convergence triple-play gateway and operator backend infrastructure that, along with wireless service, is the quad-play backbone of a Smart Cities network
Our data analysts have cross-industry innovation breadth & depth visualizing big data on the basis of predictive analytics for novel high value-added decision making
Our leaders were the pioneers in envisioning, developing, & manufacturing the first commercially available internet connected smart water solutions with actionable water intelligence
Much like human brains can isolate and engage in a particular conversation in the midst of multiple crosstalk coupled with loud background noise, SCIENXIA™ at the edge leverages artificial neural network technology and extracts real-time site-specific water intelligence from a mixture of independent water use applications at a particular site.
Dynamic real-time analysis of HydroSmart Technologies’ various system sensors’ data produces multiple classification features used to condition SCIENXIA’s autonomous deep learning algorithm by adjusting weight vectors to obtain the maximum signal-to-noise ratio and maximize convergence performance on each feature’s parameters. SCIENXIA™ at the edge then isolates the individual independent source components to deconstruct mixed water use applications and provides real-time representations of the site's underlying disaggregated water use application sources plus any extraneous sources. SCIENXIA™ at the edge lies at the heart of HydroSmart Technologies' platform systems and enables exclusive features and unmatched benefits.
By then applying proprietary big data machine learning algorithms on irreversibly anonymized and aggregated site data SCIENXIA™ in the cloud derives broader non-site-specific water intelligence through increased visibility and understanding beyond individual site information. SCIENXIA™ in the cloud continuously runs proprietary AI models on the unrivaled information-rich SCIENXIA™ at the edge streams and integrates external contextual data that empowers powerful predictive analytics for unparalleled value-added actionable decision-making. SCIENXIA™ in the cloud data analytics offers novel near real-time unforeseen insights, trends, and benchmarking water intelligence previously unavailable anywhere.
In addition, SCIENXIA™ in the cloud identifies, isolates and eliminates site-specific nuances to further augment SCIENXIA™ at the edge algorithms' classification feature parameters convergence performance for real-time disaggregation of site-specific water use.
SCIENXIA™ deconstructs mixed water use and provides real-time representations of underlying disaggregated independent water use application components
SCIENXIA™ aggregates anonymized streams and integrates external contextual data empowering powerful predictive analytics for unparalleled actionable decision-making
SCIENXIA™ enables real-time monitoring and active protection for leak damage prevention & water loss risk mitigation including preservation of plumbing integrity
SCIENXIA™ facilitates robust system self-diagnostics ensuring full feature functionality & maintaining 100% response readiness and 100% operational reliability
SCIENXIA™ drives predictive maintenance providing advance notification of any foreseeable service needs facilitating proactive preventive maintenance
SCIENXIA™ produces an exclusive treasure trove of novel water intelligence including unforeseen insights, trends, and benchmarking information previously unavailable anywhere
HydroSmart Technologies, Inc. ("HydroSmart") drives intelligent water use and active management with technology solutions that provide SECURITY, CONSERVATION, and KNOWLEDGE. HydroSmart is the first professional, industrial-grade, and affordable solution that addresses existing market needs of residential and commercial property owners, water agencies, energy utilities, service providers, product vendors, insurance companies, and smart home monitoring services.
HydroSmart’s patent-pending Smart Monitoring System Platform provides real-time Monitoring and Protection for leak damage prevention & water loss risk mitigation, Reporting and Engagement for water conservation, and High Value-Added Actionable Water Intelligence through data aggregation and predictive analytics for decision-making support systems.
Established in 2015 the company is led by a leadership team with deep industry-leading executive experience in professional water products, smart home IoT devices, smart cities network architectures, artificial intelligence neural networks & machine learning, and both conservation & clean-tech initiatives. For more information visit www.HydroSmartTech.com