Real-time camera intelligence for QSR chains.

$1M SAFE — Closing Q2 2026
The Problem

QSR chains operate 14+ hours blind. Zero real-time visibility.

The quick-service restaurant industry generates $350B+ in annual revenue across the US alone — yet has zero perception infrastructure. Drive-thru lanes, kitchen lines, and parking lots are managed by gut instinct, not data. Existing camera systems record but don't understand. There is no real-time intelligence layer.

The Solution

Edge AI on NVIDIA Jetson. On-premise inference. No cloud dependency.

Anuba deploys edge AI hardware at each location running real-time computer vision — drive-thru timing, occupancy, queue length, staffing intelligence — all processed locally in under 300 milliseconds. On-site compute means zero latency, zero data leaving the premises, and operations that continue even when connectivity drops.

🏗️
Interactive Architecture Diagram
Click to explore the full edge AI pipeline →
Traction

Validated technology. Real deployments. IP moat.

🟢
Live Pilot
Field-validated deployment
🔵
NVIDIA Inception
Member program
🔴
2 Patents Filed
Provisional IP protection
🟠
Enterprise Pipeline
Active client engagement
Unit Economics

10-month hardware payback. 80% gross margin at scale.

Chart 01: Single Location Lifetime Economics

Single Location Lifetime Economics (36 Mo)

$11,150 all-in deployment. Hardware payback in ~9 months. $45,000 contract lifetime value over 36 months.

Revenue and EBITDA Outlook

Revenue & EBITDA (5-Year Outlook)

Revenue grows from $330K in Year 1 to $58.3M by Year 5. EBITDA turns positive in Year 3.

Chart F: Location Growth & Gross Margin

Location Growth & Gross Margin Expansion

Gross margin expands from 66.7% to 80.3% as workload density increases across the growing location base.

Leadership Team

Infrastructure veterans building the perception layer.

RM
Robert McDonnell
CEO & Founder
Led telecoms for Stanford Health Care. Built autonomous haulage systems at Pronto.ai. Infrastructure vision spanning hospital-grade networks to autonomous systems.
JI
Jay Inouye
COO / CTO
Carrier-grade network experience across AT&T, T-Mobile, and Verizon. Cellular network design, hardware integration, and scaling field operations at enterprise scale.
JLS
Jonathan Lyn-Shue
CIO & Co-Founder
Smart metering infrastructure at PG&E. Led large-scale software programs for Stellantis. Engineering governance, AI documentation, and systems architecture.
The Ask

Raising to deploy, prove, and scale.

$1M SAFE
Post-money cap · Closing Q2 2026
Use of Funds
Engineering
44.6%
Sales & GTM
21.9%
G&A
17.7%
Operations
15.8%
Data Room

Ready to dig deeper? Explore the full data room.

Pitch Deck
Deal Summary
Financials
Unit Economics
Architecture
Competitive
DE Incorporator
DE Bylaws
Org Meeting
Statement of Info
Document