Thank you for viewing our seed extension deck. 9 slides plus a live demo, in about 10 minutes. Maggie, our AI agent, can answer questions along the way.
Rural water outages cost billions every year.
—Tens of billions in wildfire damageNOAA & CoreLogic: Western US wildfire losses exceeded $10–20B in insured losses per year in 2017, 2018, 2020 & 2021..
—$6.4B in utility infrastructure lossesUSDA & federal infrastructure loss data tracking utility damage from undetected water failures across rural America.
—No water visibility = loss of insuranceISO’s Public Protection Classification (PPC): 40% of a property’s fire rating is based on water supply. Properties without verified water availability fall to Class 10 — the effectively uninsurable tier.
—8.4M rural properties exposed across the American WestCensus & USDA data on rural properties across the 11 Western US states; defines meter.me’s American West SAM.
The gap is visibility, so we built meter.me
📱
App demo
What we built works!
An admired app that gives visibility and control over rural water systems.
0
water systems
1,257 sensors
0%
churn
7
states reached
12 certified installers
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fire trucks in LNUCAL FIRE LNU (Sonoma-Lake-Napa Unit): the CAL FIRE administrative unit covering Sonoma, Lake, Napa, Colusa, Solano, and Yolo counties.
Integrated with Tablet CommandIntegrated with Tablet Command, the iPad-based incident command system used by CAL FIRE. meter.me appears live in-cab, giving crews real-time water availability before they arrive on scene.
To scale, we go through the people who service these properties
📷
Field photo
The partners want in
The only way to digitize rural water infrastructure, including replacing aging and failing analog control and automation mechanisms, is through the trade pros who already service these properties. Plumbers, pump companies, well drillers.
They want meter.me because it saves truck rolls, turns catastrophes into mild emergencies, simplifies well compliance data, and makes their customers happier.
The ROI is immediate. One prevented emergency pays for years of monitoring. One avoided truck roll covers the subscription. They don't need a revenue incentive. The savings are the incentive.
But today's IoT tools weren't built for them
🎥
Aaron’s video
The problem: IoT is built for engineers, not installers.
Aaron Dretel, the owner of Texas Well & Pump told us he has been waiting for meter.me for 30 years. But...
The root cause: Plumbers are not IoT geeks, nor should they be! Installation friction and babysitting systems are blocking adoption.
We fix this in two ways
#1 Cut short installation from hours to minutes
% reflects development completion as of Q1 2026
QR codes install
100%
Plug-n-Play control box
75%
Setup automation
50%
Integrate node red
25%
Hands free Claude voice assistant
25%
Once install is done, it's Maggie's turn
# oak-springs-75
🤖
MaggieAPP8:01 AM
🚨 Anomaly detected · Home Pressure · OS75 Pressure dropped to 42.5 psi, below 45 psi threshold. Continuing to fall without pump activation
Feb 16 · 8:01 am
Maggie sends anomaly alert
# oak-springs-75
O
Ofer8:08 AM
there might be a real issue here
🤖
MaggieAPP8:09 AM
Pressure is at 42.5 psi and falling. The booster pump should have activated below 45 psi but isn't responding.
Is the Midway Booster showing any errors?
Feb 16 · 8:08 am
Ofer responds, Maggie investigates
Feb 16 · ~9:00 am
Ofer heads to the pump house
Feb 16 · 10:25 am
Pump fault confirmed, electrician on-site
# oak-springs-75
O
Ofer8:55 AM
Maggie, text me every morning with the upper tank level until we fix this
🤖
MaggieAPP8:55 AM
I'll set up a daily Slack message. Is 6 am too early?
Feb 18 · 8:55 am
Daily tank alerts activated
# oak-springs-75
O
Ofer2:18 PM
Maggie, the midway booster pump is back in operation
🤖
MaggieAPP2:19 PM
✅ Good to hear! I've updated my notes. I'll disable the daily alert on the upper tank.
Mar 6 · 2:18 pm
Pump restored, alerts disabled
#2 Let systems run themselves. No babysitting.
Maggie monitors water systems autonomously for anomalies. She understands topology, elevation, and water flow direction. She can take action: close valves, reroute water, and alert the right people.
✓93% anomaly detection accuracy
✓Available as agentic AI or native MCP
Swipe through the case study on the left. Detected by Maggie within 2 minutes.
You are viewing a real water system in Gordon Valley, Napa. Feel free to zoom in and click on the components to see more information. You can toggle between Logical and Elevation view, and below you can see the system components on a real topo map.
Here you get to chat with Maggie. You can ask her questions about the system, and she will give you real-time answers and analysis.
Sneak preview to meter.me Pro, the one-source-of-truth documentation and collaboration platform for users and water service companies.
Utility
SCADA
$$$
Rural
Water Supply
Irrigation
$$
Urban/DIY
Leak Detect
Irrigation
Usage
$
The void.
Urban homes have Moen and Bluebot. Big utilities have SCADA.
In between sits rural water infrastructure. No product. No category. No solution.
This void exists because rural means vast areas with no network, no electricity, and no IT staff.
And every attempt to fill it has failed.
Why IoT hasn't fixed this.
So the people who could solve this can't.
v2.4.86logout
Examples of confirmed water loss detected with Mellie, our machine learning agent
2023: Early Detection Era
1COCWD / Circle Oaks: Water main break on 200K gallon community tanks registered by meter.me
2Cyril: Irrigation hose left on overnight; tank drained, meter.me caught the abnormal outflow
3Oak Springs (1st): Main pipe breakdown confirmed; "helped find a huge leak"
4Mazzucco System: Alert fired on confirmed water loss; customer called in impressed
5Carissa: Silent leak behind fridge; rotted post fell on irrigation junction, ~1,900 gal lost
6Okell Hill Upper: Complex multi-week water loss detected via frequency anomaly
7Seabrooks (early): Tank drained 4,446 → 661 gal in 2h 11m; algo would have alerted at 38 min
8Castello: Confirmed pump/pipe failure detected via level anomaly
2024: Anomaly Detection Beta
9Oak Springs (2nd), Clark's property: Main line leak found by Scott; "so hard to find visually in winter"
10Heiselmann: Leak confirmed and fixed after frequency anomaly alert
11Rombauer Winery: Leak confirmed; proved difficult to locate without meter.me data
12Mast House / Bill Hardin: ~74,631 gal lost over 52 days at 1.4 gpm. "meter.me technology rules."
13Oban Station: Leak confirmed and fixed after anomaly detection
14Mucho Dinero (Heiselmann): Sawtooth pattern identified leak in irrigation system
15Flax Vineyards: Alerted just before water ran out entirely
16James King / Flax Vineyards: Well pump failure detected remotely; water truck optimized
17Oak Springs (3rd): Another major leak found via meter.me usage data
18Dan Rahmer / Okell Hill: Unusually high usage flagged → spinning meter / continuous leak found
19Mike (beta user): Obscure yard leak; "I wouldn't have found it for some time"
20Chris Fassari: ~1,000 gal/hour leak tracked down after smart alert
21Emily Hardin: Broken fill pipes caught by anomaly alert (ZD #1208050)
22Mary: Broken pipe found and repaired same morning (ZD #1208244)
2025–2026: Smart Alert Era
23Farros Tank: Leak found by field staff after smart anomaly alert
24Donna Seabrooks: Water accidentally left running; meter.me caught it before tank ran dry
25William Hardin: Broken pipe by barn discovered after smart alert
26Dan Rahmer / Okell Hill lower: Broken pipe at Stanley's detected by smart alert