The AI that reads a building's skin — turning drone and camera data into inspection reports a regulator will accept.
Every tall building is quietly aging. Tiles loosen, render cracks, sealant fails. In most cities the law says someone must periodically check - and traditionally that has meant scaffolding, rope-access crews dangling hundreds of metres up, and weeks of expensive, dangerous work.
H3 Zoom replaces that with software. Its platform ingests imagery captured by drones, field robots, 360-degree cameras - or photos an owner already has - and applies proprietary computer-vision and vision-language models to automatically detect, classify, grade and map defects across a building's facade and interior.
The output is not a folder of raw photos. It is a structured, regulator-defensible condition report: each defect located on the building elevation, graded for severity, scored for confidence, and packaged into prioritised remediation actions and audit-ready records.
The company calls this "asset intelligence." The practical effect is speed and safety. In one demonstration a facade inspection that would take four weeks was compressed into four days. In selected workflows H3 Zoom reports up to 70% cost reduction and up to 90% faster turnaround.
Crucially, the platform is sensor-agnostic. It does not force customers onto a particular drone or camera. That design choice widens its reach: any owner sitting on visual data can feed it in, and any capture method can supply it.
The company was founded in 2016 and spun out of H3 Dynamics, a Singapore-rooted aerospace and robotics group with operations in Toulouse and Austin - a lineage that explains the robotics fluency underneath the software.
"This funding allows us to turn building data into actionable maintenance decisions at scale."
Elevation-mapped exterior surveys with automated severity grading, precise defect location and confidence scoring - built to satisfy periodic facade inspection frameworks such as Singapore's BCA regime.
AI-enabled 360-degree interior condition assessments that detect and classify internal defects, producing audit-ready records for building owners and managers.
Enterprise models tuned to a client's asset standards, with API exports and integration into BIM and CMMS systems so results flow into existing maintenance workflows.
Managed data capture using drones and field robots for owners who prefer inspection delivered end-to-end as a service rather than run in-house.
An assistant that combines imagery and voice into multimodal inspection workflows - designed to support the engineering judgment calls that sit on top of raw defect detection.
Property developers, building owners, facilities managers and public-sector asset operators.
Reported deployments include JTC (160+ industrial properties), CapitaLand real estate, and buildings owned by the Commonwealth Bank of Australia - alongside institutional, commercial, maritime/port and transport-infrastructure assets across seven countries. H3 Zoom emerged from JTC's 2016 Open Innovation Call, and has since scanned 200+ buildings in Singapore alone.
A B2B model blending software and services. H3 Zoom licenses its AI inspection platform - Facade Inspector, Interior Inspector, custom models and integrations - and also offers Robotics-as-a-Service data capture.
Revenue comes from software subscriptions, per-inspection and project work, and enterprise custom-model engagements, focused on regulated built-environment and critical-infrastructure clients where compliance is mandatory rather than optional.
Total funding reported to date: ~USD $5.4M. Latest round: Series A, closed June 2026.
The round was led by JRE Ventures, the corporate venture arm of East Japan Railway Company (JR East) - a strategic gateway into Japan's vast infrastructure-inspection market. Backers include:
JRE Ventures (lead) SGInnovate M7 Holdings AC S525 · AngelCentral Moringa Ventures Lotus One Investment"H3 Zoom embodies the next generation of social infrastructure transformation through AI."
"H3 Zoom is a strong example of how AI-powered innovations can address critical challenges in infrastructure."
The drone-inspection space has no shortage of players - from rope-access incumbents to computer-vision startups like Percepto, Avestec and DroneDeploy. The alternative to H3 Zoom, for many owners, is still a clipboard and a scaffold.
H3 Zoom's argument for difference rests on three things. First, it builds for the regulator, not the demo reel: reports are structured to be defensible in compliance frameworks. Second, it is sensor-agnostic, accepting any imagery rather than locking clients into hardware. Third, it covers both facade and interior, rather than a single surface.
Shaun Koo conceives drone-plus-AI building inspection - when drones were still mostly recreational - and enters JTC's Open Innovation Call under parent H3 Dynamics.
200+ buildings inspected, including 160+ JTC industrial properties, cutting inspection time by up to 70%.
Recognised for social-impact inspection work and exploring projects beyond Singapore, including Brazil and other markets.
Raises USD $1.8M led by JRE Ventures with SGInnovate and M7 Holdings; CapitaLand and CBA deployments announced.
Closes USD $3.6M to scale AI inspection across Asia, targeting Japan and Hong Kong, and to build the AI Engineering Co-Pilot.
It is an AI inspection platform that turns drone, robotics, 360-degree and existing visual data into regulator-defensible condition reports and remediation plans for buildings and critical infrastructure.
It was founded in 2016 by Shaun Koo, its CEO, and spun out of Singapore aerospace and robotics group H3 Dynamics.
It closed an oversubscribed USD $3.6 million Series A in 2026 (first close USD $1.8 million in 2025), led by JRE Ventures with SGInnovate, M7 Holdings and others.
Property owners, developers, facilities managers and public-sector operators, including JTC, CapitaLand and Commonwealth Bank of Australia properties across seven countries.
It replaces slow, high-risk manual surveys with sensor-agnostic AI that automatically detects, grades and maps defects into audit-ready reports - cutting time and cost by up to 90% and 70% in select workflows while improving safety.