Investor Deck — July 2026
Civilinfra.ai
AI-powered civil infrastructure plan review for California municipalities.
Patent Pending — 7 Inventions
NSF SBIR — Resubmitting Aug/Sept 2026
575 PE-Curated Rules · 19 Disciplines
ROLE
Founder, PE — Stanford MS CEE
CONTACT
info@civilinfra.ai
The Problem
California's 483 cities are drowning in plan review backlogs
4–12 week backlogs
Multi-month delays block housing delivery and infrastructure approvals. Every week costs developers tens of thousands in carrying costs.
$150–$300/hr outsourced cost
Small cities outsource plan review at premium consulting rates — with zero institutional knowledge retained after each engagement.
Silver Tsunami
Median age of California public works PEs exceeds 50. Decades of institutional engineering knowledge retiring with no capture mechanism.
As-built acceptance gap
Cities permanently accept non-conforming infrastructure — creating multi-million dollar long-term liability with no automated check.
"I did not discover this problem because of AI — I discovered AI because of this problem." — Founder, PE, 23-year Public Works Director
The Solution
A PE reasoning engine — not a chatbot
Civilinfra.ai reads civil engineering plans exactly as a licensed PE reads them — sheet by sheet, discipline by discipline, rule by rule — generating structured compliance comments with dual citations traceable to both city standard numbers and master rule IDs.
Permit Review
Automated plan check before construction. Comments cite city standard + master rule.
As-Built Acceptance
Verify completed infrastructure before city accepts permanent ownership. Unique to Civilinfra.ai.
Pre-Check Mode
Engineering firms pre-check plans before submission — eliminating costly revision cycles.
2
Revenue sessions per project
19
Civil engineering disciplines
7 Patent-Pending Innovations
U.S. Provisional App. #64/069,095 — Filed May 19, 2026
| 1 | Universal Rule Mapping & Citation Engine
Maps any city's local standard numbers to 575 master rule IDs. Dual-citation output per comment. |
| 2 | Sheet-Title Routing Engine
Loads only discipline-specific rules per sheet — 90%+ token reduction, 60–90 sec review. |
| 3 | Three-Layer Standards Hierarchy Engine
Special Provisions → City Standards → CA Title 22/DPH baseline. Automated conflict resolution. |
| 4 | Master Template + City Delta Architecture
575-rule baseline; each new city maps only 10–15% delta. Onboarding: $5–10K vs. $50–100K. |
| 5 | Universal Gap Detection & Advisory Engine
Flags missing city standards; applies master values as advisory across all 19 disciplines. |
| 6 | Confidence-Gated Extraction Engine
Mathematical confidence scoring on every OCR parameter. Flags uncertain extractions for PE review. |
| 7 | 3D Model Generation & As-Built Verification
2D plan parameters → 3D digital twins. Cross-utility spatial conflict detection and deviation flagging. |
Market Opportunity
$2B+ national TAM — two revenue sessions per project
$75K
SJV pilot ARR per city
$12M+
California beachhead TAM
$500M+
California all-govt TAM
$2B+
National TAM · 90,837 US local govts
Go-to-market sequence
3 SJV pilot cities → 40 SJV agencies ($1M ARR) → 483 CA municipalities ($12M+) → national
Two-sided market
Agency adoption drives firm demand. Same 575-rule dataset serves both sides.
- Public agencies — $15–30K/yr per city
- Engineering firms — $5–50K/yr per firm
- Special districts — $15–25K/yr
Competitive Landscape
We occupy the regulatory compliance layer no one else has built
| Capability | Civilinfra.ai | Bluebeam Max | Generic AI |
|---|
| Jurisdiction-specific rule mapping | ✓ | ✗ | ✗ |
| Dual-citation output (city std + master rule) | ✓ | ✗ | ✗ |
| Three-layer hierarchy resolution | ✓ | ✗ | ✗ |
| As-built acceptance verification | ✓ | ✗ | ✗ |
| 3D cross-utility spatial conflict detection | ✓ | ✗ | ✗ |
| PE-validated confidence gating | ✓ | ✗ | ✗ |
| May 2026 priority patent date | ✓ | ✗ | ✗ |
Bluebeam Max (using Anthropic Claude) launched in early 2026 — validating the market. But Bluebeam targets private contractors. We own the public agency regulatory compliance layer they cannot reach.
Traction & IP
Built in research phase — zero dilution to date
IP Portfolio
Patent — 7 inventions — App. #64/069,095 — May 19, 2026
Copyright — 17 datasets — Cases 1-15166194041 & 1-15166194107
Trade secrets — 575 rule values & city mapping tables — never published
PCT pending — International filing — 150+ countries — May 2027
Milestones Achieved
- 575 PE-curated rules across 19 disciplines — complete
- Live functional demo — civilinfra.ai
- SAM.gov registered — UEI PWETR87JB9E1
- FBN registered — Santa Clara County #726815
- Mercury Bank account — active
- NSF SBIR — resubmitting Aug/Sept 2026 with R&D frame
- Alchemist Accelerator — under review
- Delaware C-Corp formation — upon trigger event
ADA Title II WCAG 2.1 compliance deadline — April 26, 2027 (agencies 50K+ pop). Civilinfra.ai's structured output is inherently compliant. Bluebeam Revu is not. This creates a forced migration event directly into our beachhead market.
Business Model
Annual SaaS — two sessions per project, two customer segments
Agency Mode
Small city (<50K) — $15,000/yr
Mid-size city (50K–200K) — $25,000/yr
Large city (>200K) — $30K + $500–1K/set
County public works — $20–30K/yr
Special district — $15–25K/yr
Engineering Firm Mode
Small firm (<10 eng) — $5,000/yr
Mid firm (10–50 eng) — $10,000/yr
Large firm (>50 eng) — $15–50K/yr
1 revision cycle saved = more than annual subscription cost. One agency drives 5–10 firm subscriptions in that orbit.
80%+
Plan check overhead reduction
2x
Revenue per project (permit + as-built)
85–90%
Rule inheritance — new city onboarding
Team
Domain authority that cannot be hired, replicated, or accelerated
Ci
Founder, PE
Founder & Chief Engineer | Civil PE California | Stanford MS CEE
- 23+ years California municipal public works leadership
- Public Works Director — California municipalities
- City Engineer — California municipality
- Led delivery of a landmark interchange project — ASCE + APWA Outstanding Project of the Year, 2021
- $100M+ in total federal grants secured across career
- AI optimization research 1997–1999 — predates ChatGPT by 25 years
"I did not discover this problem because of AI — I discovered AI because of this problem. In 1999 the problem was visible. In 2001 the technology was not ready — so I went inside the industry to build what no algorithm could: 23 years of PE-validated domain expertise. In 2024 the technology finally caught up. This is the completion of a 27-year arc."
Seeking: Technical co-founder — Full-stack + computer vision + 3D rendering.
The Ask
Pre-seed bridge — $500K at $5M post-money cap
Use of Funds
| Technical co-founder search + eng contractor | 40% |
| Platform development & cloud infra | 25% |
| PE validation & pilot LOI conversion | 20% |
| Legal, IP prosecution, operations | 15% |
Milestones This Funding Achieves
- Technical co-founder identified and onboarded
- 2–3 SJV pilot LOIs converted to signed contracts
- MVP hardened to pilot-production-ready
- NSF SBIR resubmitted (Aug/Sept 2026, R&D frame)
- 15–20 PE-validated projects — early moat
- Seed-ready: signed ARR + team in place
Non-Dilutive Pipeline (Layered On Top)
NSF SBIR Phase I ($275K) + DOT SBIR ($200K) + EPA SBIR ($200K) + EDA Tech Hub ($500K) = up to $1.175M non-dilutive, reducing dilutive capital needed before a right-sized Series Seed.
info@civilinfra.ai | (650) 318-1844 | civilinfra.ai