DECISION INTELLIGENCE FOR THE LEAD AND COPPER RULE ERA

Stop guessing. Start solving.

Service ID helps utilities empower homeowners to complete their LSL inventories using customer photos and machine learning — then maps every replacement to a funding source. Decision intelligence, purpose-built for LCRI.

95%+ classification accuracy
10–25× industry participation rate
80% lower cost than excavation or staff inspections
Service ID workflow: homeowner submits service line photo, AI classifies the material, utility receives verified data.

TRUSTED BY UTILITIES

Kenosha Water UtilityVerona Water Utility

RECOGNIZED BY

Water Council Global Tech ChallengeWI Governor's Business Plan Competitiongener8torMadworksNSF I-Corps

THE PLATFORM

One platform. Four layers of intelligence.

From verified data to funded replacements to institutional memory — Service ID is the system of record for the LCRI era.

01

Verified Inventory

The data layer

Photo-verified service line classifications with 95%+ machine-learning accuracy. One-click corrections, no data entry. Defensible under LCRI baseline scrutiny — not probabilistic guesses.

02

Funding Intelligence

The capital layer

Every replacement mapped to a funding source. Principal forgiveness optimization, DAC scoring, and grant pipeline navigation built in.

03

Replacement Planning

The execution layer

Multi-year, phased replacement plans matched to verified data and funding strategy. Sequence the right work in the right order — and execute with confidence.

04

Utility Intelligence

The platform layer

Hydrants, meters, mains, council decisions, field notes — every asset and every memory, captured and searchable. The platform that compounds in value the longer you use it.

THE LCRI MATH · SERVICE ID

What's your LCRI exposure, before Nov 1, 2027?

Run the math on your inventory — required replacement exposure and avoided verification costs. The numbers below are directional. Yours can be specific.

Built for
Water Utilities
Anywhere in the U.S.

LCRI BASELINE STARTING LINE

00

DAYS

00

HOURS

00

MINUTES

00

SECONDS

WHAT WE FOUND FOR ONE WISCONSIN UTILITY

A 21,000-connection utility had $13.5M in funding gap reduction waiting to be captured.

Below is an anonymized sample of what Service ID surfaced through verification and bundled application strategy. Real numbers. Identifying details adjusted to prevent attribution.

01 · VERIFICATION SCENARIO COMPARISON

Three paths through LCRI. Three different funding gaps.

Same utility. Same lead lines requiring replacement. Different strategies for getting there — and very different out-of-pocket costs.

SCENARIO 01

Do Nothing

WORST CASE

Unknowns count as lead under LCRI

PROJECT

$62.5M

BEST PF

$32.5M

GAP

$30.0M

SCENARIO 02

Verify Only

BETTER

Service ID resolves unknowns; standard application

PROJECT

$39.9M

BEST PF

$21.7M

GAP

$18.2M

SCENARIO 03

Verify + Bundled Strategy

OPTIMAL

Service ID's full optimization — 100% + 75% tracts bundled at 100% PF; remainder blended

PROJECT

$39.9M

BEST PF

$23.5M

GAP

$16.5M

THE SERVICE ID DELTA

$13.5M

Total funding gap reduction from Scenario 01 to Scenario 03. Verification removes confirmed copper lines from the replacement pool, and bundled application strategy captures principal forgiveness most utilities don't know they qualify for.

02 · TRACT-LEVEL SCORING

Every neighborhood scored individually.

DNR's principal forgiveness logic varies dramatically by census tract demographics. Most utilities don't realize how much variance is hidden in their service area.

100% PF · 4 TRACTS
75% PF · 2
50% PF · 5
25% PF · 3
0% PF · 7
T01
T02
T03
T04
T05
T06
T07
T08
T09
T10
T11
T12
T13
T14
T15
T16
T17
T18
T19
T20
T21

21

TRACTS SCORED

~21,000

TOTAL SERVICE LINES

~29%

CLASSIFIED AS LEAD

The variance shown above is what makes bundled application strategy work — 100% PF tracts and 75% PF tracts blend together into a single high-priority application that captures full principal forgiveness for both, which neither could achieve alone.

03 · TOP RECOMMENDATIONS

Specific tracts ranked by PF competitiveness.

The highest-scoring tracts in this analysis. Each row shows the demographic drivers behind the score — these are the components DNR weighs in scoring disadvantaged community status.

01

Tract A

100% PF TIER

DAC SCORE220
SERVICE LINES564 (232 lead)

SCORING DRIVERS

MHI: $34K (45% of state)

Poverty rate: 65%

02

Tract B

100% PF TIER

DAC SCORE150
SERVICE LINES881 (436 lead)

SCORING DRIVERS

MHI: $47K (62% of state)

Poverty rate: 35%

03

Tract C

100% PF TIER

DAC SCORE140
SERVICE LINES1,325 (519 lead)

SCORING DRIVERS

MHI: $53K (70% of state)

Poverty rate: 32%

Each recommendation includes the demographic drivers explaining why the tract scores as it does. These four components — MHI as percent of state, poverty rate, county unemployment, and lowest-quintile income — are how DNR ranks tracts for principal forgiveness eligibility.

WANT TO TRY YOUR OWN NUMBERS?

Run the math on your inventory — operational drag, replacement pool exposure, and verification ROI.

The numbers above are real for one utility. Use the interactive calculator to model your service area: tunable assumptions, instant feedback, no email required.

Run Your Own Numbers →

GET THE REAL ANALYSIS

Your numbers, your tracts, your funding gap. Within one business day.

We run the analysis on your specific service area — tract-by-tract demographic scoring, bundled application optimization, and the verification scenario comparison shown above. The same analysis you just saw, but for your utility. No automated output. Actual analysis from our team.

We'll personally analyze your service area and email you a custom report within 1 business day. No spam. No automated outputs.

SOURCES & METHODOLOGY

LCRI verification standard: 40 CFR §141.84 (Lead and Copper Rule Improvements, finalized October 2024); EPA Inventory Guidance §2.1.4 on classification evidence requirements. Beginning November 1, 2027, required replacement applies to lead, GRR, and unknown lines at 10% per year.

Sample analysis source:The figures shown are from a real Service ID analysis of a 21,000-connection Wisconsin water utility. Tract identifiers have been renamed and headline figures lightly rounded to prevent attribution. The methodology, scoring logic, and demographic drivers reflect actual Wisconsin DNR Lead Service Line program scoring (Tables 2, 3, 5, 6 of DNR's Disadvantaged Community methodology — MHI as percent of state, 200% FPL poverty rate, county unemployment differential, and lowest-quintile income). The 21 tracts shown represent the full service area.

Scenario modeling:"Do Nothing" assumes all unknowns count as lead under LCRI's both-sides classification rule. "Verify Only" assumes Service ID verification resolves unknowns before LCRI baseline, reducing total project scope proportionally. "Verify + Bundled Strategy" applies Service ID's tract-targeted bundling optimization on top of verification — 100% PF and 75% PF tracts consolidated into a single high-priority application.

Principal forgiveness methodology: Wisconsin DNR scores census tracts on a 0–100+ scale using four demographic factors. Tracts scoring above thresholds qualify for 100%, 75%, 50%, or 25% principal forgiveness tiers. Bundled application strategy aggregates qualifying tracts to maximize overall PF capture.

CASE STUDY

Verona proved what a verified inventory looks like.

When the City of Verona partnered with Service ID for their LSL inventory pilot, the results redefined what utilities should expect from a verification platform. Homeowner participation rates dwarfed industry norms. Classification accuracy held above 95%. The full pilot completed in under 30 days — for less than a quarter of the projected cost.

Read the full case study →

10–25×

INDUSTRY PARTICIPATION RATE

95%+

CLASSIFICATION ACCURACY

$125K+

IN PILOT SAVINGS

<30

DAYS TO COMPLETE PILOT

RECOGNITION

Backed by the institutions building the future of water.

Service ID has been recognized by the leading accelerators, competitions, and research programs in water technology.

GLOBAL COMPETITION

Water Council Global Tech Challenge

Runner-up among 50+ submissions from 23 countries — recognized as one of the most promising water-tech innovations globally.

STATE RECOGNITION

WI Governor's Business Plan Competition

2nd Place, Technology Category, 2025. Recognized by the State of Wisconsin as a leading early-stage technology company.

RESEARCH & VALIDATION

NSF I-Corps Graduate

Completed the National Science Foundation's I-Corps program, including 31 customer discovery interviews validating Service ID's product-market fit.

LCRI STARTS IN 2027

The utilities that get this right won't be the ones with the most data. They'll be the ones with the right intelligence.

See how Service ID helps leading utilities turn LCRI compliance into a competitive advantage.