Spending power
TheGrid Corporate Spending Power index would rate purchasing capacity from registry, scale and activity signals.
Spending power
Key facts
Counted staff
2
self-reported 2–10 band
Founded
2017
9 years
Legal entities
None matched
Office countries
1
2 addresses
Funding rounds
None on record
Company type
Privately Held
self-reported
Description
We believe better water outcomes start with better use of existing SCADA data.
Utilities generate vast amounts of operational data, but turning that data into clear, defensible evidence for decision-making is hard.
Spreadsheets don’t scale, general-purpose analytics tools struggle with messy time-series data, and valuable insights often remain hidden.
SensorClean provides SCADA analytics as a service, supporting utilities and councils as they lead their own digital transformation - at their pace and on their terms.
We work alongside engineers, operators, and planners to transform raw SCADA data into decision-ready insights that support:
- Non-revenue water management
- Demand forecasting to support infrastructure planning and operational decisions
- Pump station performance (water, wastewater, and stormwater)
- SCADA data cleaning for hydraulic modeling
We start with low-risk, high-impact consulting. You send us your data securely (via OneDrive, API, or your preferred method), and we return clear outputs framed around the questions you are trying to answer.
No software installation. No forced workflows. No disruption to your team.
Our analytics adapt to your network and your priorities - providing flexibility today and a foundation for greater automation over time.
As part of our commitment to inclusion and accessibility in the water sector, SensorClean.ai proudly partners with WaterAble, supporting more accessible digital tools for people with a disability across the industry.
SensorClean is designed for utilities that want to lead change, reduce uncertainty, and build confidence in data-driven decisions - now and into the future.
Specialties
All 11 specialties
- Water Distribution Systems
- Data Analytics
- Wastewater
- Water engineering
- Big data
- Machine Learning
- Software
- AI
- Non-revenue water
- Forecasting
- Sewer Pump Stations
Related specialties
Locations
Country footprint
Show as table · Offices in 1 country
| Countries | 1 |
|---|
All codes: AU
Addresses
- AULevel 2, 11 York Street; Sydney , NSW 2000
- AUSydney, NSW 2093Primary
Grid intelligence Members
Signals & hiring
Hiring, headcount and registry-change signals, streamed to members.
Latest signal
Hiring activity
Headcount trend
Financials
Registry-filed capital and financial indicators, standardised by TheGrid.
Paid-up capital
Fiscal period
Registered charges
Revenue
Profit / loss
People & contacts
1 employee profiles on record · names withheld.
Names and titles are intentionally absent from this page. The source relation carries no consent record across the privacy regimes this directory spans, so it is never requested and never stored. Search engines see exactly what you see here.
Names are withheld until a consented source exists.
FAQ
How many people work at SensorClean.ai?
2 counted staff profiles at January 2026, inside the self-reported 2–10 band.
Where does SensorClean.ai have offices?
Two addresses on record, Australia only. Primary: Sydney, NSW 2093.
Has SensorClean.ai raised funding?
None linked to this brand.
What does SensorClean.ai list as its specialties?
11 tags on the brand's own list, among them big data, forecasting and wastewater.
Which companies are listed alongside SensorClean.ai?
1 profile lists SensorClean.ai as a peer — 52nd percentile in IT Services & Consulting. It lists ten peers of its own. Reconciliation Victoria lists it back.