AI maintenance copilot for public infrastructure

Fix it before it fails. Prove why it's next.

Bridges, water mains, and roads age faster than inspection cycles. Tremb Labs fuses sensor data, inspection photos, and maintenance history into one risk-ranked work queue — with the justification written for the budget meeting.

Built for DOTs, water utilities & municipal public works

Inspection cycles were designed for 1985.

Aging assets, shrinking crews, and a retirement wave of the people who knew where the bodies were buried.

Two-year blind spots

A bridge inspected in 2024 isn't seen again until 2026. Deterioration doesn't wait for the schedule — failures cluster between inspections.

Tribal knowledge retiring

The engineer who knows which culvert floods every March retires this year. His notebook isn't in the asset management system.

Budgets follow squeaky wheels

Without defensible risk rankings, funding goes to whoever complains loudest — not the asset most likely to fail next.

One queue. Ranked by risk. Defensible to the penny.

Plug in what you have — SCADA, sensors, inspection PDFs, work-order history. Tremb Labs does the fusing.

Sensor fusion

Strain gauges, acoustic leak sensors, traffic counters, weather — normalized into one health score per asset, updated hourly.

Inspection photo triage

Upload field photos; the copilot flags spalling, section loss, and joint failure, then drafts the condition rating against AASHTO element standards.

Risk-ranked work orders

Every recommendation pairs probability of failure with consequence — traffic volume, downstream customers, detour cost — into a single defensible rank.

Budget-meeting briefs

One click turns the queue into a council-ready memo: what, why now, cost of action vs. cost of failure. Engineers report it saves a day per cycle.

Deployed in weeks, not fiscal years.

1

Connect your records

We ingest your asset inventory, inspection PDFs, SCADA feeds, and work-order history — even the spreadsheet from 2009. No rip-and-replace.

2

Baseline every asset

Within two weeks each asset gets a health score and failure-probability curve, benchmarked against 40,000 similar assets nationwide.

3

Work the ranked queue

Crews get a prioritized list with justification attached. As work closes, the model learns your network and the rankings sharpen.

What a pilot district saw in year one.

$2.4M

estimated failure costs avoided across 312 assets

5 mo

earlier detection of critical deterioration, on average

37%

less engineer time spent assembling budget justifications

“We moved the Mill Creek bridge inspection up five months because Tremb Labs flagged gauge drift nobody would have looked at until 2027. The repair cost $80k. The failure scenario we priced was over two million — plus a closed school route. That one catch paid for the platform several times over.”

DM
Diane Marsh, PE County Engineer, Larkin County Public Works
SOC 2 Type II StateRAMP in progress AASHTO element-level ratings On-prem option

Pilot it on one district.

Send us your asset inventory and we'll baseline it free — you'll see your own risk rankings before you sign anything.