Rents are set, tenants renewed, and zones benchmarked on sensor counts that double-count, can't read demographics, and can't prove who actually walked the floor. OBSRVR turns existing CCTV into leasing-grade footfall intelligence.
Leasing is the single biggest lever in a mall's P&L, yet it runs on the one number operators can't actually trust: footfall.
Retail brands have the mirror-image problem: no idea who walks in, how long they stay, or what converts.
No new hardware. On-device inference at the edge, so raw footage never leaves the store and there are no cloud-GPU costs. The demographic engine is facial-recognition-grade, but stores no images and no PII. PDPL/DDPL compliant by design.
NIST-tested FR engine infers age, gender, sentiment and group type in real time, without storing a single face image.
Entry points, dwell zones, conversion paths and exit patterns: the full picture of how visitors move through a space.
Agentic AI layer that triages and resolves routine ops at machine speed: Tier-1/2 support built into the platform.
Footfall accuracy is what gets us in the door. It's the requirement to win a leasing deal at all. The platform on top of it is what makes us impossible to rip out.
| Capability | OBSRVR | RetailNext | Sensormatic |
|---|---|---|---|
| Uses existing CCTV | ✓ Yes | ✗ No | ✗ No |
| Mounts on shopfronts & open corridors | ✓ Yes | ✗ needs ceiling | ✗ needs ceiling |
| No images / PII stored | ✓ Yes | ✗ No | Partial |
| GCC compliance (PDPL/DDPL/ADGM) | ✓ Yes | ✗ No | ✗ No |
| Zero hardware CAPEX for client | ✓ Yes | ✗ 6-figure | ✗ 6-figure |
| Demographics, journey & dwell | ✓ Yes | Limited | ✗ No |
| Deployment speed | Days | Weeks–months | Weeks–months |
Proven head-to-head. In a live stress test, OBSRVR counted 12 of 12 people in frame; the incumbent's 3D sensor counted 6. Their hardware can't even mount on a shopfront or open corridor without a ceiling. OBSRVR runs on the camera that's already there.
A feedback loop turns each store into training data. Sensor competitors are static the day they're installed. We compound.
OBSRVR flags events (entries, demographics, groups, dwell) across every camera.
The client's team grades accuracy directly in the dashboard, on their own floor.
The model retrains on those corrections. Accuracy climbs week over week.
Real revenue from blue-chip operators and brands, on 3–5 year terms, with year-one fees collected upfront.
Closed = five signed contracts. Richemont (in progress) and Flormar's pending PO add ~$138K TCV; MAF, Festival City and GM are active POCs. Per-client figures are in the data room.
Guaranteed rollout to Yas Mall (Abu Dhabi), Jimi Mall (Al Ain) and Al Hamra Mall (RAK), roughly 4× current run-rate.
Three-time repeat buyer; a PO for five more branches is pending, with Turkey and GCC expansion in the pipeline.
Ten branches in progress; positioned to replace the incumbent footfall analytics as that contract expires.
Live proof-of-concept at the Fashion Dome; full-mall rollout (~4×) is the conversion target.
POC scoped, with gradual UAE & GCC rollout to follow.
First deployment confirmed for July; 170 locations across the region in scope.
Most of our revenue today is sourced through Convergint, the region's largest security-systems integrator, the same way enterprise software rides an SAP or Oracle partner channel.
Retail leasing intelligence is the lead product and the bulk of revenue. Brand analytics and the future data marketplace layer on top of the same platform.
The Gulf has one of the highest densities of premium mall space per capita on earth, plus a regulatory tailwind that locks out PII-storing incumbents.
PDPL, DDPL and ADGM rules restrict PII storage. Competitors that store face data can't comply. Our no-image architecture is compliant by design.
100+ new malls are coming online that need analytics from day one, and operators want it native, not bolted on later.
Edge inference that cost ~$500K five years ago now costs ~$2K. The unit economics behind 64–71% margins (and 85–90% post-IP) only just arrived.
9 years in security tech and retail intelligence across the GCC. Led technology at Securitas UAE; Senior Solutions Engineer at RealNetworks (SAFR). Closed all current enterprise clients.
Product and engineering leader in data analytics and enterprise tech; previously led engineering at VUZ (Dubai). Owns platform architecture, edge deployment and the proprietary CV roadmap.
8+ years in cybersecurity, currently at a Fortune 500. Brings enterprise-grade security architecture and compliance: the governance arm behind the privacy-first design.
Seed capital to ship the proprietary CV stack, build the core team, and convert a pipeline that's already in motion. Funds 18 months of runway, no bridge required.
Hire core ML team. Begin in-house CV (SAFR replacement). Festival City POC. MoE partial rollout.
First FR engine + NIST benchmark. Margins to 85–90%. Enter KSA (Arabian Centres, Red Sea Mall). Aldar mall expansions.
$1M+ ARR, 10+ clients. Expand Convergint to full distributor network. Scale brand-side analytics.
Kuwait & Qatar. Launch the dual-sided brand↔landlord data marketplace (Marco Polo). Series A raise.
$918K signed, $1.05M booked. Blue-chip logos. Privacy-first architecture.
Leasing-led, GCC-native, ready to scale.