Every one of them was preventable. We have the technology. We lacked the network.
Edge inference: 190ms
Human reaction: 2,800ms
The gap is where Velox lives.
TAM • Global Construction Safety Tech
$38B
SAM • U.S. Mid-Market General Contractors
$6.2B
SOM • 500 GCs, 5-Site Average
$310M
190ms edge inference on 8-camera array per building
Automated SMS + Slack alerts to on-site supervisors
Incident prediction model trained on 22M labeled frames
Regulatory-compliant audit trail and incident graph
$420K
Annual Recurring Revenue
4
Paid Pilot Customers
Linx Construction, Harborview GC, Caldwell Brothers, Rio Verde Developers
0
Reportable Incidents
On monitored sites since Q1 2024
71
Net Promoter Score
MONTHS 1–3
Site Pilot
Single-building proof, 30-day trial
MONTHS 4–9
Enterprise Rollout
Multi-site deployment, annual contract
MONTH 10+
Cross-Trade Data Moat
Network effects: risk models improve with every new site
"After Velox flagged a scaffold instability at 6 AM, we pulled the crew before first light. That's the only time I've been grateful for an algorithm."
— Terrence Obi, Site Safety Director, Harborview GC
22M labeled incident frames. 18-month data lead on any new entrant. The moat is proprietary, growing, and impossible to replicate without live customer sites.
Sofia Ruiz, CEO
Former Autodesk BIM safety platform lead. MS Computer Vision, Stanford AI Lab. 8 years construction tech.
James Park, CTO
Ex-Google Brain edge-inference team. 7 patents in real-time CV. Built TensorFlow Lite deployment at scale.
Marcus Bell, VP Ops
10 years Turner Construction site operations. Managed 40+ commercial builds. Deep GC network.
| Metric | 2024 | 2025 | 2026 |
|---|---|---|---|
| ARR | $420K | $2.1M | $6.4M |
| Monthly Burn | $180K | $280K | $420K |
| Runway | 18 mo | 24 mo | — |
| Customer Count | 4 | 18 | 52 |
40%
Engineering
35%
Go-To-Market
25%
Operations
Close Date: July 15, 2024
Existing Angels: Meridian Scout Fund ($500K) • Sandra Vella, ex-Caterpillar CSO
Sofia Ruiz • sofia@velox.ai • +1 512 847 9203