Autonomous Building Inspection AI

Buildings that last
a thousand years
deserve physics.

scopec applies aerospace-grade infrared physics and autonomous AI to building inspection — accurate, scalable, and honest.

$50B+
US TAM
1:N
Scalability
80%+
Target F1
IR Scan — Facade Analysis Live
The Problem

Why is the inspection industry stuck?

A structural failure in the industry — not technology — has kept building inspection decades behind engineering.

01

Entrenched Subcontracting

SMEs locked in subcontractor chains. Large clients want cheap; vendors can't afford R&D. Technology is never rewarded.

02

No Physics

Drone operators without thermodynamics or NDT knowledge. Infrared physics is absent from nearly every workflow.

03

Non-Scalable

One inspector, one building. No automation. No feedback loop that makes the system smarter over time.

04

"Build and Replace"

Wait for failure, then rebuild. The compounding cost — economic, environmental — is enormous and preventable.

"Why does the inspection industry's technology never advance?"
— The founding question behind scopec
Why Now
  • Drone hardware costs collapsed — high-resolution IR at commodity prices
  • Japan BStA reform (2022) formally legalizes drone IR inspection
  • Florida Milestone Inspection mandate creates immediate US demand
  • Vision AI + LLMs make physics-aware diagnostics tractable at scale
The Solution

Physics-First
Building Intelligence

scopec applies the same non-destructive testing principles used in aerospace — to every building it inspects.

Step 01
🛰

Plan with Physics

Solar angles, shadow simulations, and wall orientation computed before flight. Every scan optimized for thermal signal quality.

Step 02
🔬

Correct for Reality

IR data corrected for emissivity, shadow, viewing angle, and weather. Anomalies separated from noise using first-principles physics.

Step 03
📊

Deliver Diagnosis

AI extracts candidates with confidence scores. Expert reviews. Report auto-generated with 3D positioning and severity ranking — in hours.

⚙️

Technical Moat

NDT + infrared thermal physics modeling. Aerospace methods applied to building structures.

🗄️

Data Moat

Ground-truth labeled data from Japan's general contractors — inaccessible to US competitors.

🏗️

Structural Moat

1 operator → N autonomous drones. The scalability lever that turns inspection into a platform.

🤝

Network Moat

Partnerships with Japanese SME inspection firms, licensed architects, and major GCs.

Market

$50B+ opportunity with
regulatory tailwinds

AI Building Diagnostics $15B
FL Milestone mandates · NYC FISP
Insurtech & Risk Data $35–42B
Insurers pay premium for building condition data
Structural Health Monitoring $10B
Digital twin platform play (Phase 3)
FL SB-154 Milestone NYC FISP SF AB-110 Façade Japan BStA §12 FAA Part 108 BVLOS
Japan → US Market Bridge
Japan R&D and data factory. Low-cost environment to build ground-truth datasets and refine algorithms.
US Growth market. Japan-validated physics becomes the unfair advantage no US competitor can replicate.
Roadmap
Phase 1 Japan validation. 5+ real inspections. F1 >80%. Apr–May 2026.
Phase 2 US PMF. Workflow localization. 2+ LOIs from US partners. Jun–Sep 2026.
Phase 3 Series A. Full automation pipeline. $5M target. Q4 2026.
Phase 4 Digital Twin SaaS. Predictive maintenance + insurtech integration.
Philosophy

Engineering as
a moral obligation

scopec was not built on a market opportunity. It was built on a conviction.

Principle 01

Physics-First, Always

Data science without physical models is pattern matching. Every algorithm in scopec is grounded in thermodynamics and first principles.

Principle 02

The 1,000-Year Perspective

The temples of Kyoto have stood for a millennium through disciplined maintenance. scopec extends the life of structures for the generations after.

Principle 03

Integrity as Strategy

We publish the confidence score. We show the uncertainty. In a market built on liability, trust compounds faster than any growth hack.

Principle 04

1:N Scale — Not Labor

One operator. N autonomous drones. Human expertise deployed at the point of judgment — not execution.

Founder & CEO
Aerospace Engineer.
Builder.

Studied Aerospace Engineering at Kyoto University. Received offers from McKinsey, Mitsubishi Corporation, and DBJ. Declined all of them.

The most talented engineers in Japan are being consumed as labor by finance and consulting. That is a national loss. The answer is to build something only engineers can build.

Aerospace Engineering Drone Control Infrared Physics Kyoto University
Why competitors can't copy this
Moat No inspection company has an aerospace engineer who understands NDT physics at this depth.
Moat Japan ground-truth data requires physical presence — it cannot be replicated with capital.
Moat The network of licensed inspection firms took years to build. Money alone can't buy it.
Contact

Let's build something
that lasts.

Get in touch

We're building relationships with inspection firms, building owners, and investors who believe the built environment deserves better technology.

✉️
contact@scopec.ai
📍
Kyoto, Japan · San Diego, CA