Moonlight Analytica Request demo
Fig. 01 — The Interval One intelligence layer · three engines

You measure the start and the end.
Everything in between is dark.

Most companies measure the endpoints and guess at the rest. Moonlight captures the in-between events that move your bottom line.

Animated demonstration: ceiling cameras come online and sweep light across a store floor, zones are surveyed, shoppers and staff are detected and tracked, and a live intelligence board fills with occupancy, queue and dwell metrics.

Live floor intelligence

Watch the floor become data.

Janus turns ordinary cameras into a live operating model — zones, dwell, queues, staff vs. customer — in real time.

01Cameras come online
Exhibit A — The Instruments
The suite

Three engines. One intelligence layer.

One platform, three ways to see what others miss — physical space, search visibility, and the product market.

Plate 01
"What happens on our floor is invisible to analytics."

Physical-space intelligence

Turns ordinary cameras into a live operating model of the floor — zones, dwell, queues, and role recognition — without surveillance creep.

Plate 02
"I'm blind to whether AI engines cite me or my competitor."

Search & AI-search intelligence

Tracks Google rankings, site health, competitor moves, and AI citations across ChatGPT, Perplexity, Claude, and Gemini — one workspace.

Plate 03
"We learn about breakouts — and quiet deaths — too late."

Product-market intelligence

Maps 79,573 tech products with signal scoring, liveness probes, press velocity, and product-death modeling so you're never caught off guard.

Plate I — Field Observation

Your floor is talking. You're not listening.

"We run promotions, adjust staffing, rearrange fixtures — but we're making every decision blind. We don't know if anyone actually stopped at that endcap."

Janus connects to your existing cameras and builds a live spatial model of the floor — who's where, how long they dwell, staff vs. customer, and where lines form. No new hardware. No surveillance overreach.

+53%Promo dwell lift
4.4sAvg wait tracked
94%Model confidence
42msLatency
See Janus in detail →
◈ Janus · Convenience — Live17 tracked · 4 staff separated
ENTRANCE 684 /hr DISPLAY 42% dwell CHECKOUT 3.1 min EXIT 611 /hr
Primary pathSecondary path
Active signals
24
Monitored zones
6
Flow score
87%

Count every person entering, exiting, and moving through your space with computer-vision tracking — live occupancy by zone, directional flow, and queue formation, with no wearables or beacons.

Plate II — Search Watch

Google rankings are half the picture. AI citations are the other half.

"ChatGPT is recommending our competitor by name. We had no idea until a customer told us. We've been invisible to AI for months."

Caposeo runs continuous monitoring across Google and four AI answer engines at once — flagging ranking shifts, technical regressions, and competitor citation gains before they hit revenue.

87Health score
12.4KKeywords tracked
4Answer engines
See Caposeo in detail →
◈ Caposeo · Dashboardcaposeo.com / dashboard
Caposeo live dashboard
Plate II — Observation recordContinuous
Plate III — Market Sky Survey

79,573 products. You only need the ones that matter.

"A competitor quietly launched a feature that ate our core use case. We found out from a customer churn survey three months later."

Launch Sentinel maps the full product market — signal scoring, liveness probes, press velocity, and product-death modeling — so breakout launches and quiet exits surface in hours, not quarters.

79,573Products mapped
12Breakouts flagged
18Categories
See Launch Sentinel in detail →
◈ Launch Sentinel · Observed transitionslaunchsentinel.com / flips
Launch Sentinel observed transitions — products watched dying and coming back from the dead, with raw HTTP status changes
Plate III — Observation record353 died · 812 back from the dead
Fig. 04 — Observation Time
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See your floor become data.

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