AI-powered civil infrastructure plan review that reads plans the way a PE reads them — against your city's exact standards, not generic engineering principles. Jurisdiction-specific. Self-improving. Built on 20+ years of California public works experience.
America's civil engineering workforce is shrinking — and infrastructure can't wait.
Plan review requires engineers to manually cross-reference submissions against hundreds of pages of city-specific standards — a process taking days or weeks and creating costly project delays.
Every city has its own engineering standards. Without a systematic approach, review quality varies by reviewer, city, and workload — creating risk, rework, and inequity in infrastructure outcomes.
The engineers who built America's water, sewer, road, and bridge infrastructure are retiring faster than they can be replaced. Their institutional knowledge leaves with them — permanently.
Every municipality has different standards. Civilinfra.ai loads each city's exact criteria as the AI's operating context — the same way a 20-year PE internalizes a city's standards over a career.
When a plan set is submitted for City of Clearwater review, Civilinfra.ai loads Clearwater's exact standards, thresholds, and PE-validated criteria as the operating context. When the same plan set is submitted for another jurisdiction — a different dataset loads. Different standards. Different criteria. Different comments. Every review is jurisdiction-accurate, not generically approximate.
Four steps from plan upload to a structured, tiered, jurisdiction-specific review output.
Your city's standard plans, specifications, and construction details are uploaded and processed into a structured dataset — organized by discipline: water, sewer, storm, street, traffic, ADA, and construction notes. PE clarifications and corrections continuously improve the dataset with every project.
Engineering firms upload their plan set — PDF, TIFF, JPG (minimum 300 DPI), or AutoCAD files. Plans are organized into a secure project folder: plan views, profiles, construction details, and notes — all processed and prepared for AI review.
Civilinfra.ai reads plans the way a PE reads them — sheet by sheet, detail by detail. Profiles are checked for pipe slopes, invert elevations, manhole depths, and utility clearances. Construction notes are verified against standard requirements. Plan views are cross-checked against profile data. Every finding is tied to your city's exact standard plan reference.
A quantified Plan Preparedness Score shows overall submittal readiness. Comments are tiered — Critical, Major, Minor — with exact sheet references and standard plan citations. Too many comments signals an underprepared submittal. Engineers know exactly what to fix before resubmission.
At any project phase, users may request review by a Licensed Professional Engineer (PE) — Civil. PE corrections are captured and written back into the municipal dataset — making the system smarter for every future review in that jurisdiction. Expertise permanently preserved.
Walk through a complete plan review of a real City of Tracy project — Corral Hollow Sewer Capacity Upgrade Phase 2 (CIP 74165) — using actual City of Tracy Std Plan 200 engineering standards. No signup required.
Every review produces a quantified readiness score — making submittal quality measurable, trackable, and actionable for the first time.
Discipline-specific review — not a general scan, but targeted reading of exactly what matters in each infrastructure category.
Distribution and treatment infrastructure — pipe sizing, pressure zones, material specifications, fire flow requirements.
Sanitary sewer — pipe slopes, manhole depths, invert elevations, cover requirements, utility clearances.
Storm sewer design — hydraulic capacity, inlet sizing, pipe grades, outlet protection, detention requirements.
Gas, electrical, telecom, fiber — clearances, crossing angles, separation requirements, conflict resolution.
Roadway geometry, intersection design, interchange configurations — reviewed against Caltrans, AASHTO, and local guidelines.
Sight distance, conflict point analysis, pedestrian and bicycle facility compliance, ADA, safety countermeasures.
Construction TCPs, signal design, signage and striping plans reviewed for MUTCD compliance and local standards.
New development infrastructure ensuring every subdivision meets city standards for long-term community safety and serviceability.
Public rights-of-way accessibility — curb ramps, detectable warnings, cross slopes, pedestrian signals, and sidewalk connectivity reviewed against PROWAG and federal ADA standards.
Every PE correction makes the municipal dataset smarter. More projects means more accurate reviews — permanently preserving licensed engineering expertise in your jurisdiction's intelligence layer.
Based on city-specific standards dataset loaded for the jurisdiction
Licensed Civil PE provides optional QA/QC — edits, adds, or rejects comments
PE judgment written back into the municipal dataset as structured data
More accurate, more jurisdiction-specific with every review cycle
Licensed PE knowledge permanently captured — survives retirement and staff turnover
Civilinfra.ai's engagement with AI in civil engineering began in the Pre-ChatGPT era — long before AI became mainstream.
Civilinfra.ai is not a concept — it is a validated approach backed by preliminary testing against real civil engineering standard plans from a San Joaquin Valley municipality.
We are accepting a limited number of pilot partners for the inaugural San Joaquin Valley cohort. Your city gets AI-assisted plan review at no cost — in exchange for feedback that helps us improve the system.
America needs its infrastructure knowledge preserved, scaled, and made universal.
AI-assisted review reduces cycles from weeks to days — accelerating infrastructure delivery across every municipality.
Every submittal reviewed against the same standards, every time — eliminating costly variability across reviewers and workloads.
Every review strengthens the system. Every licensed Civil PE's expertise permanently captured, extended, and made available to future generations.
Small cities get the same engineering intelligence as the largest agencies — regardless of budget or staff capacity.
Every city's infrastructure mapped, modeled, and managed through AI-powered spatial intelligence.
Automated three-dimensional conflict detection — cover depth, utility separation, and grade continuity verified spatially before construction begins.
We are not simply automating plan review.
We are building the civil engineering knowledge infrastructure for the next generation — and beyond.
Whether you are a municipal agency exploring the pilot program, an engineering firm interested in early access, or a partner organization — we would love to hear from you.
Pre-seed · Patent Pending #64/069,095 · NSF SBIR Submitted #00113625
A Professional Engineer (PE) — Civil is a licensed civil engineer registered by the California Board for Professional Engineers, Land Surveyors, and Geologists (BPELSG). Under California's Practice Act, only a licensed Civil PE may legally practice or offer civil engineering services to the public.
Licensure requires an accredited engineering degree, passing the NCEES Fundamentals of Engineering (FE) and Professional Engineer (PE) exams, and a minimum of 6 years of progressive supervised engineering experience. The Civil PE license designation issued by BPELSG is "C" — distinct from other engineering disciplines such as Structural (S) or Geotechnical (GE).
Our platform does not replace engineers — it supports and scales their expertise. The optional PE QA/QC layer ensures professional oversight on high-liability infrastructure review when it matters most. Source: bpelsg.ca.gov