🌊 Live water tempsGrand River @ Galt—°C|Brantford—°C|Nith River—°C|Speed River—°C|Conestogo—°C⚠ Legionella window: 15°C — 25°C
💧 Monitor Water · Save Lives · Prevent Failure · Presignal
Monitor water. Save lives. Prevent failure.
The first autonomous water intelligence platform connecting 60 years of Ontario source water data to the people, facilities, and infrastructure that depend on it — with a 2–6 week predictive window before disaster strikes.
The Stakes — Why Water Monitoring Saves Lives
People get sick when nobody is watching the water.
London, Ontario 2025: 107 Legionella cases, 4 deaths. The signal was in the public data for 60 years. Nobody built anything around it. Until now.
🤒😷🏥💸😢
Without monitoring
Reactive. Outbreak happens. People hospitalized. Facility shuts. Regulatory action. $2–8M per event. Families affected. Preventable deaths.
→
📡⚠️🔔📋🤝
AquaSignal deployed
Node detects risk 14–21 days early. Alert fires automatically. Infection control notified. Tech dispatched. Treatment triggered before first case.
→
✅😊🏃♂️💚🎉
Outcome
Zero cases. Zero hospitalisations. Zero deaths. Facility operating. Staff and patients safe. Regulatory liability avoided. Lives protected.
⚡ The Solution — Running Live
AquaSignal OS — autonomous water intelligence
This is what it looks like when it's running. Real nodes. Real alerts. Real dispatches. The system monitors everything, dispatches only when needed, and never sleeps. Click through the panels.
AquaSignal OS · v2.1 · Ontario Network · 12 Active Nodes
Monitoring
📊 Live Dashboard
🚐 Dispatch Log
🌊 Upstream / Downstream
Facility Intel
🧪 Chemical Inventory
⚙️ Equipment Health
Workflow
📱 Tech Notification
Grand River Corridor — Live Overview
—
Active nodes
12
1 needs replacement
Avg water temp
18.4°C
⚠ Watch window open
In risk zone
3 / 12
15–25°C threshold
Days to act
14–21
Before outbreak window
💧
Node 01 — Galt Cambridge
All parameters normal · Last reading 4 min ago
T: 12.1°C
pH: 7.4
Normal
💧
Node 04 — Brantford Intake
Conductivity elevated · Approaching standard threshold
T: 19.8°C
pH: 7.1
⚠ Watch
💧
Node 07 — Kitchener Victoria Hospital
Legionella risk window ACTIVE · Facility infection control notified
T: 23.6°C
pH: 6.8
🚨 Alert
💧
Node 09 — Waterloo Upstream
All parameters normal
T: 11.2°C
pH: 7.6
Normal
💧
Node 11 — Paris Junction
Signal lost 6h ago · Battery 3% · Tech en route
T: —
pH: —
🔧 Replace
Dispatch Log — Auto-triggered only · No wasted site visits
🚨
Node 07 — Kitchener Victoria Hospital · Legionella risk active
Temp 23.6°C · Auto-alert sent to facility infection control + tech team · 14–21 day window
Action required
🚐
Node 11 — Paris Junction · Replacement dispatched
Battery 3% · Signal lost 6h ago · Tech dispatched automatically · ETA 38 min
En route
🧪
Node 04 — Brantford · Chemical dosing auto-triggered
Conductivity 892 µS/cm · Automated biocide dose sent to facility dosing pump · Confirmed
Auto-dosed
✅
Node 03 — Elora Gorge · Replaced Apr 22
New unit online · 5-year cycle reset · All readings normal · No further action
Replaced
📅
Node 06 — Fergus Intake · Scheduled
Due in 8 months · System will auto-dispatch when approaching · No action required now
Scheduled
Upstream / Downstream Corridor Intelligence
Elevated temp detected at Conestogo 38 hours before reaching facility intake
🏔️ Source Headwaters
→
⚠️ Conestogo 22.9°C
→
📍 Elora 12.1°C
→
📍 Galt 12.4°C
→
⚠️ Brantford 17.2°C
→
🚨 Facility 23.6°C
Upstream · Conestogo
Temp22.9°C
pH7.2
Cond.844µS
Mid · Cambridge Galt
Temp12.4°C
pH7.4
Cond.614µS
Intake · Brantford
Temp17.2°C
pH7.1
Cond.892µS
Facility · Cooling Tower
Temp23.6°C
pH6.8
Turb.18.4FNU
Chemical Inventory — Real-time consumption monitoring
Water readings determine chemical consumption rate. Auto-PO fires when stock hits threshold. Tech arrives with exactly what's needed.
Biocide (oxidizing)
28% remaining6 days
🚨 Reorder now — auto-PO sent
Scale inhibitor
61% remaining18 days
⚠️ Monitor — reorder in 10 days
Corrosion inhibitor
84% remaining28 days
✅ Adequate supply
pH adjustment (acid)
45% remaining14 days
📋 Scheduled reorder confirmed
Dispersant
76% remaining24 days
✅ Adequate supply
Dip slides / test kits
15% remaining3 days
🚨 Critical — tech dispatched
Equipment Health — Pre-failure detection from water chemistry
Scale buildup, UV lamp intensity, flow rates, and vibration signatures monitored continuously. Equipment failure predicted before it happens.
Cooling Tower CT-1
Heat exchanger · North wing
⚠️ Watch
Scale buildup index
72% — cleaning due in 14 days
Flow rate capacity
64% — reduced by fouling
UV Disinfection UV-2
Secondary treatment · South loop
🚨 Replace
Lamp intensity
11% — lamp end of life
Transmittance
34% — fouled quartz sleeve
Filtration Unit FU-1
Multimedia filter · Intake
⚠️ Backwash
Differential pressure
81% — backwash overdue
Media condition
67% — inspect at next visit
Pump Station PS-3
Primary circulation · Building B
✅ Normal
Vibration signature
22% — within normal range
Bearing temperature
38% — operating normally
Dosing Pump DP-1
Biocide injection · Main loop
✅ Normal
Dosing accuracy
96% — calibrated last week
Pump stroke rate
88% — nominal
Conductivity Probe CP-4
Blowdown controller
✅ Normal
Signal drift
5% — freshly calibrated
Probe age
40% of service life used
Tech Notification — Complete automated workflow
Alert fires. Tech dispatched with pre-loaded checklist and chemicals needed. Problem resolved. Loop closed. Nobody monitors manually.
1. Alert fires automatically
💧
AquaSignal
now
🚨 LEGIONELLA RISK ALERT
Node 07 — Victoria Hospital Temp: 23.6°C · Risk window: 14–21 days Infection control notified. Action required.
µS/cm vs. 700 µS/cm Ontario operational standard — already above limit
Peak Conductivity Recorded
10,069
µS/cm at station 4001302902 — 14× the operational standard
Who Is At Risk
Water quality is a public health problem. It happens to affect infrastructure too.
Every sector below has people inside it. When the water signal goes unmonitored, the cost is measured in hospital beds, equipment failures, and regulatory consequences — not just operational metrics.
Of Grand River stations chronically exceed Ontario drinking water standards
🖥️
AI data centers
$150B
In AI infrastructure projected for Ontario corridors · No mandatory water monitoring standard
🌾
Agriculture
60yr
Of runoff and nutrient loading data · No predictive early-warning system exists at field level
🏭
Industrial
∞
Process water, cooling loops, boilers — every industrial system that touches water is a candidate
The Device
One node. One connection. Runs forever.
No SCADA modification. No regulatory approvals. Connects to existing client WiFi. Installs in 20 minutes. Signals its own replacement. A Solenis technician deploys it on a regular service call.
💧
Water contact
Passive sensors
📶
Client WiFi
Existing network
☁️
Encrypted upload
Every 15–30 min
🧠
Risk engine
60-yr baseline
📲
Alert issued
Dashboard + SMS
🚐
Dispatch only if needed
No wasted visits
Install time
20 minutes
Connection
Client WiFi only
Reporting
Every 15–30 min
Device lifespan
4–6 years
Replacement
Auto-dispatched
SCADA modification
Not required
Regulatory approvals
None required
Unit cost (retail)
$80–$150
Unit cost (volume)
$35–$60
Applications
One platform. Every water system on earth.
The same node. The same signal architecture. Different parameter thresholds. Different customer sectors. The possibilities are not a roadmap — they are a ceiling we have not found yet.
🏥
Healthcare
Legionella temperature windows flagged 14–21 days before outbreak probability rises. Infection control teams notified automatically. London 2025: 107 cases, 4 deaths. All preventable with two weeks notice.
Lives saved
🖥️
AI data centers
Conductivity and turbidity drift detected before scaling damages heat exchangers. $150B in Ontario AI infrastructure at risk from water that nobody is watching. AquaSignal is the watch.
System protection
🏛️
Government / municipal
Real-time exceedance tracking across entire watersheds. Public health dashboards. Regulatory reporting automated. Advance warning before contamination reaches the tap.
Public protection
🧪
Chemical treatment
pH-triggered dosing on signal, not schedule. Biocide dosed proportionally to what the water is doing. Chemical waste eliminated. Inventory monitored automatically — auto-PO fires before stock runs out.
Cost reduction
🌾
Agriculture
Irrigation chemistry and runoff monitored at field level. Nutrient loading tracked upstream before it becomes a bloom. Livestock water systems flagged before contamination events reach animals.
Food security
⚙️
Industrial process water
Cooling loops, boilers, chillers monitored continuously. Equipment failure predicted from water chemistry before mechanical failure occurs. UV lamp intensity, scale buildup, flow reduction — all tracked.
Uptime guaranteed
Revenue Model
Royalty per active node. The Solenis network effect.
Every Solenis technician globally visits client facilities on regular schedules. One node per kit bag. One 20-minute installation per visit. Within 24 months the network spans every Solenis account on earth.
Year 1
2,500
nodes
$337K/yr
Ontario pilot
Year 2
15,000
nodes
$2.0M/yr
Canada rollout
Year 3
50,000
nodes
$6.75M/yr
US northeast + UK
Year 4
125,000
nodes
$16.9M/yr
G7 markets
Year 5
250,000
nodes
$33.75M/yr
Global · Every country
📍 One site
→
🏙️ One city
→
🗺️ One province
→
🇨🇦 One country
→
🌍 Every country
Year 10 cumulative projection: $150M+ · Based on 10% royalty per active node at volume pricing. Rinse and repeat in every city, every town, every province, every country. The network does not stop growing because water systems do not stop existing. · Submitted to Solenis April 25 2026 · Response pending
Problem 01 — Conductivity
Scaling is happening continuously — not occasionally
At conductivity levels above 700 µS/cm, the Langelier Saturation Index shifts toward scaling conditions. 38% of Grand River stations run above this threshold as their permanent baseline. Cooling towers drawing from this supply are continuously depositing calcium carbonate on heat exchanger surfaces — reducing heat transfer efficiency and triggering thermal throttling in high-density GPU racks.
Station 4001302902 — Mean 1,522 µS/cm · Peak 10,069 µS/cm · 14× the limit
Problem 02 — Turbidity
Suspended solids are fouling loops that were never designed for this load
95% of Grand River stations exceed the 4.0 FNU turbidity standard. The watershed mean is 23 FNU — nearly 6× the limit as a long-term average. The City of Brantford's own intake records confirm it: Grand River raw water has averaged 5.6–9.0 NTU monthly from 2021 to 2026. Suspended solids accumulate in cooling loops with each evaporation cycle, fouling surfaces and providing biofilm substrate.
Brantford Holmedale Intake — 2025 peak: 30.86 NTU · 7.7× the standard
Problem 03 — The Monitoring Gap
Standard threshold alarms are blind to chronic baseline exceedances
Water treatment systems alarm when readings cross a threshold. But if source water is already above threshold before it enters the system, the alarm never fires — that reading looks normal for the facility. The Grand River operates in a state of chronic exceedance that reactive monitoring is structurally unable to detect. The problem is invisible to the tools designed to find it.
97.6% of monitored sites — chronically above standard as baseline condition
Solution — AquaSignal
A 60-year seasonal baseline detects drift before thresholds are crossed
The Presignal Subtraction Framework evaluates each new reading against 60 years of seasonal baseline data specific to that station. Anomalies are flagged when readings deviate from historical norms — not when they exceed static thresholds. This provides a predictive lead time that threshold monitoring cannot offer. Treatment adjustments happen before the damage, not after.
Water treatment service providers currently manage Grand River accounts using scheduled manual testing and reactive chemical dosing. This approach is structurally blind to chronic baseline exceedances — the kind that are already present before any sample is taken.
AquaSignal provides the intelligence layer on top of your existing program. The same treatment chemistry, administered more efficiently, triggered by predictive drift detection rather than periodic sensor pings. Your clients get better outcomes. Your contracts become defensible against competitors who cannot offer this capability.
What the Partnership Looks Like
01
60-Year Verified Baseline — Per-station seasonal fingerprints for Grand River and Lake Ontario data center corridors. No competitor has this.
02
Predictive Drift Detection — New readings evaluated against historical norms. Chemistry drift flagged before hard thresholds are crossed.
03
Infrastructure Stress Reports — Per-facility fouling rate projections for client-facing reporting. Quantified risk in language operators understand.
04
Site Selection Audits — Pre-construction Water Risk Assessments for hyperscalers evaluating Grand River and Niagara corridor locations.
05
Bid Differentiation — One sentence that wins RFPs: "Our program is calibrated to a 60-year verified watershed baseline. No other provider in Ontario offers this."
⚠
Legionella Risk Intelligence — Paper 2
Ontario Healthcare Facilities · Cooling Tower Risk · Published April 2026
June. July. August. People get sick. Cooling towers. Hospital water systems.
The 2024 London Ontario outbreak: 30 confirmed cases, Legionella found in Victoria Hospital cooling towers. The 2025 Middlesex-London outbreak: 107 confirmed cases, 98% outbreak-related. Same geography. Same season. Same cooling towers. No advance warning.
The Signal Already In The Data
Source water crosses 15C in May -- 2 to 6 weeks before the Legionella spike -- every single year.
That crossing is the warning signal. It has been in the public PWQMN data for 60 years. Nobody connected it to Legionella outbreak timing until now. The Presignal Legionella Risk Framework makes that 2 to 6 week window operational for every healthcare facility in Ontario.
For Water Treatment Providers
Walk into the hospital bid knowing their Legionella risk window before they do.
One sentence wins the contract: Our Water Management Program integrates a 60-year verified source water baseline specific to your facility giving you a 2 to 6 week advance warning before Legionella conditions develop. No other provider in Ontario offers this.
The Regulatory Gap
Ontario has no cooling tower registry. No mandatory predictive standard. Hospitals are flying blind.
Every other province is moving toward mandatory cooling tower registration. Ontario is not there yet. The provider who builds the predictive intelligence layer before the regulation exists owns that market when the regulation arrives.
Data: Public Health Ontario Legionellosis Surveillance Reports 2019-2025 · Ontario PWQMN Temperature Baseline 1964-2024Peer ReviewedDOI: 10.5281/zenodo.19695022 · DOI: 10.5281/zenodo.19935260 · DOI: 10.5281/zenodo.19948007
Station Intelligence
Grand River · PWQMN · 1964–2024
Parameter
Filter
Risk Level
Critical — mean >2× standard
Elevated — exceeds standard
Within standard
AI Data Center
Click a station to view details
Source Water Baseline
Ontario PWQMN 1964–2024 · 51,634 stat objects · 2,128 stations · 9 parameters · Grand River focus
Station
Parameter
Season
n
Mean
Max
2SD Threshold
Exceedance Rate
Years
Status
AquaSignal · A Presignal Initiative
Source Water Intelligence
What This Is
AquaSignal is the water intelligence layer of Presignal — an independent research initiative that identified a gap nobody in the water treatment industry was looking at: the connection between chronic source water quality exceedances in Ontario's Grand River watershed and the cooling infrastructure risk those exceedances create for the AI data center cluster being built in Cambridge and Brantford.
The analysis is built on 7,630,482 individual measurements from the Ontario Provincial Water Quality Monitoring Network (PWQMN) spanning 1964 to 2024, processed through the Presignal Subtraction Framework to establish per-parameter seasonal baselines across 2,128 monitoring stations.
The Presignal Subtraction Framework
Derived from geophysical signal analysis methodology developed for the Geological Pathway Diversity Model (GPDM) — a published framework for classifying anomalous atmospheric discharge phenomena (EarthArXiv ID 12638) — the Subtraction Framework classifies observations into four categories:
Category I — Prosaic: Within expected seasonal variation Category II — Concealed: Systematic drift below detection thresholds Category III — Industry Artifact: Treatment masking real drift Category IV — Genuine Anomaly: Significant deviation from historical baseline
Grand River source water exceedances are classified as Category II — chronic and structurally invisible to reactive monitoring.
Data Sources
📊Ontario PWQMN · data.ontario.ca · Open Government Licence Ontario