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/Index/AquaIntel/Fused catchment-to-tap operational water corpus
A

Fused catchment-to-tap operational water corpus

AQUAINTELManage supplier listing

Fused catchment-to-tap operational water corpus: minutes-interval multi-parameter station telemetry (pH, turbidity, conductivity, dissolved oxygen, nitrate) from sondes, flow and level loggers plus ingested SCADA tags, joined to rainfall, laboratory results and satellite imagery in a single data layer, and turned into forecast records — turbidity and contamination forecasts at intakes and river reaches, demand and reservoir drawdown forecasts, and burst/leak likelihood by zone. The ownable asset is the aligned multi-source training set plus the advisory record: forecast issued, recommendation given (for example adjust coagulant dosing at a named works), and whether the operator acted

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AquaIntel/Fused catchment-to-tap operational water corpus
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Coverage

Universe, instruments and categories.

Industry
Application Software
Instruments
equities
Categories
AlternativeGeospatial
Regions
US
Sample tickers
XYLWTSRMDAWKSBSSWSCEMR
Dataset card
Type
not stated
Format
Time-series telemetry and tabular event records — high-frequency sensor and SCADA streams ingested over Modbus/SDI-12, OPC UA and MQTT, buffered at the edge and replayed to cloud object storage, plus lab results, forecast outputs and advisory/alert records; a geospatial digital-twin layer over catchments, zones and treatment assets
Volume
Est. roughly 100,000 readings per station per year at a few-minute polling interval across a handful of water-quality parameters, so tens of stations produce low millions of readings annually before SCADA tags, lab results and satellite imagery are added. Satellite and rainfall layers are externally sourced and therefore not incremental to the ownable volume. Volume scales linearly with each new utility deployment; no deployment count is published, so this is a mechanic-derived bound rather than a measured figure
Users
N/A — B2B platform sold to water operators, no registered-user base. Deployment scale should be measured in monitored catchments, stations and monitoring points; a single illustrative catchment shown on the site references 42 monitoring points, and the company's tiny footprint implies deployments in the tens of stations rather than thousands
History
2 years
Update frequency
not stated
Growth
Active but pre-revenue-looking — a structured multi-module product narrative with a live edge-to-cloud architecture, current-generation hardware and cloud-service stack, and a modular land-and-expand motion ('most teams begin with detection at a handful of stations and add forecasting, the twin and optimisation as confidence builds')
Launched
~2024-2025 (the site's reference list cites WHO/UNICEF 2023, UN-Water 2021 and a 2019 citation, and the stack is current-generation — Jetson Orin, TensorRT, Amazon Bedrock — indicating a build from roughly 2024 onward rather than an earlier vintage)
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

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AquaIntel has not added their own details yet. Not yet on file:

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