Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
Water Wise System is a smart real time AI big data B2B
B2G SaaS solution, built for public and private Water and Wastewater Utilities,
Show the rest of the publisher’s description (36 more lines)
Smart Cities initiatives and cross-sector intensive water consumers (industrial
production, airports, university and medical campuses, military and security
facilities, resorts and hotels, prisons and large condominiums). It makes
available several new functionalities to support operational and non-revenue
water reduction processes and internal controls. Builds a 360º digital twin
view of the urban water cycle by monitoring all networks: potable water,
wastewater and rainwater, basins, rivers, and groundwater. Monitors pressure,
flow, reservoirs level, water quality parameters, energy consumption and any
other data stream that might be relevant to the customer. Finds abnormal events
and insights in real and differed time by exploring these data sources. Open
platform that can integrate with existing GIS, SCADAs and/or new field IoTs. Performs
easy to use operational water balances and gives geo analytical insights about
priority areas of attention for directing field teams. It monitors and creates
insights using predictive and analytical models supported in Artificial
intelligence (Machine Learning), to identify abnormal situations and creates a
Digital Twin of the water network. It identifies for each defined area or
deployed field sensor the water balance it's behaviours (creating an analytical
and predictive perspective), water losses and is able to analyse water quality
parameters, energy consumption, meteorology, and ascertain the different
behaviour of each area of study and determine their sustainability level. It
delivers several analytical dashboards and, geo analytical views of the network
sensors data, DMA's and administrative areas. It provides operational
intelligence to network management and supervision by filtering, aggregating,
and correlating massive amounts of data, blending it into composite
alarms/events (identifying the root-cause), guidance and knowledge to the user,
simplifying the operation process and creating the opportunity for a quicker
field action. Product is based in open-source frameworks and proprietary
developments. Includes a big data infrastructure architecture: data lake,
complex event processor and data ingestion through ETL/ELT processes. This is
an innovative approach to the urban water cycle monitoring. By monitoring all
water networks, it supports sustainability and new value chains promoting circular
economy increasing water re-use. Water Wise is a strong technological
foundation to increase water utilities readiness to respond to climate change,
extreme climate events and climate adaption, as well as, to digitize and retain
knowledge and know-how from an ageing workforce. But also, to support intensive
water consumers in their efficiency and consumption reduction programs.
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Sources
Publisher resources
2 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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