ANZ Bank · NVIDIA
0.82 — Gini coefficient for assessing risk
Independently reportedBanking & finance · Other · Classical ML · Pilot
Other
SpinXpress · Lumana
Vendor-reportedOtherUnited StatesScaledMid-marketComputer vision
Vendor-reported. The customer is named and the numbers are quoted from the source page, but the account comes from the vendor. No independent confirmation.
Reported by lumana.ai (vendor self-report). Checked against the source page on 2026-09-06. 2 of 2 figures below appear on that page word for word.
The problem
SpinXpress relied on outdated and inefficient traditional video security systems that required significant time to retrieve footage, lacked real-time alerts, and were cumbersome to manage across multiple locations.
What was deployed
- Vendor
- Lumana
- Products
- Lumana
- Technique
- Computer vision
- Build or buy
- Bought off the shelf
- Deployment
- SaaS
- Data used
- video footage from existing cameras
- Scale
- 21+ locations
What changed
Each row is quoted from the source. Figures we could not find on the page in those words are marked — they are kept, not deleted, so you can judge them.
time to retrieve footage
“90% less time to retrieve footage”
Quoted word for word from the source · round percentage, no baseline given
<1 secAI activity alerts response time
“<1 sec real-time AI activity alerts”
Quoted word for word from the source
“Lumana has transformed how we manage security at SpinXpress. With its advanced AI capabilities, I can respond to incidents in real time, ensure the safety of our customers and staff, and streamline our operations. Lumana is the backbone of our security strategy, allowing us to focus on growing our business while maintaining peace of mind.”
Difficulties and limits
- Outdated architecture
- Inefficient software
- Difficult to manage
Sources
- lumana.ai — vendor self-report
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