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Orangeflare

Water/Wastewater AI Review

AI review before bid-day surprises become field fixes

Orangeflare Review

AI that reviews your water treatment plant designs before construction

Orangeflare reads P&IDs, specs, and drawing sets the way project teams do, then flags code issues, spec mismatches, and repeat-risk findings before they turn into RFIs, change orders, and expensive rework in the field.

Live review signal

Vision spike validated

P&ID proven

Recall

100%

instrument-tag recall on the validated MLE P&ID spike

Precision

91%

on Page 40, Sheet 03Y-11 from the Cross Creek Ranch WWTP set

Construction-document ready

Designed for wastewater plants, not generic document QA

P&IDs
Specs
Revisions

Products

Three ways Orangeflare compounds engineering leverage

REVIEW

AI design review for P&IDs, specs, and sheets against TCEQ, Ten States, and AWWA guidance.

MATCH

Connect findings to RFIs, change orders, and prior revisions so teams see what keeps repeating.

FORECAST

Surface the next wastewater expansion opportunities from public signals before competitors move.

Problem

Design-document misses become field pain fast

In water and wastewater work, errors hide across drawings, specs, and revisions. They usually show up late, when schedule pressure and construction dollars are already on the line.

Annual impact

$88B+

estimated global construction rework burden, with document coordination errors acting as a persistent driver.

Document-driven

22%

of rework is commonly traced to document errors, omissions, and coordination breakdowns.

How it works

Built for the review loop teams already run

01

Upload drawings

Drop in design packages, specs, and drawing sets from active plant work without reformatting them first.

02

AI reviews against codes

Orangeflare reads the sheets, extracts process details, and checks them against wastewater standards and rules.

03

Get marked-up PDFs

Teams receive clear findings, source references, and review-ready outputs before construction begins.

Validated

The P&ID vision spike already cleared the first hard question

Could the model actually read dense wastewater treatment drawings well enough to be useful? Yes. On the validated MLE train sheet, Orangeflare achieved full recall on instrument tags.

Vision result

100% recall

for instrument tags on the tested P&ID sheet. No custom CV model required.

Spike context

91% precision

on Page 40, Sheet 03Y-11 from the Cross Creek Ranch WWTP package.

Next step

Put Orangeflare on a live design package

Bring one wastewater project and we’ll show how the review flow catches issues before they become field churn.

Schedule a demo