Getsafari

Safari AI (getsafari.ai — computer-vision footfall & occupancy analytics) — Computer-vision people-counting performed on retailers' and landlords' existing CCTV feeds — no new hardware — producing per-entrance and per-tenant door counts throughout the day, zone-level occupancy/density series, spatial heatmaps, and entry-to-exit shopper path traces with dwell, bypass rate, corridor-bottleneck and anchor-store-impact derivatives. Also staff-presence-versus-demand observations per zone, and a sibling vehicle-counting product. Claimed 99%+ accuracy validated against manual counts, with retuning w…

Getsafari offers (Geospatial, Alternative, Sentiment) — ~1-20M intraday count/occupancy observations per year (est.: order of 500-2,000 instrumented camera views x 12 trading hours x 365 days = 2-9M hourly series points, with intraday resolution materially higher; heatmap rasters and entry-to-exit path traces add orders of magnitude more raw derived events). Video itself stays on the customer's cameras — only derived metrics are retained by the vendor..

Rent-setting and rent-review evidence at unit grain (traffic-backed rather than estimated); leasing presentations and tenant renewal negotiation with verified counts; tenant-mix and unit-placement optimization from path and anchor-gravity data; retail REIT asset-level traffic nowcasting and asset-disposition support; labor scheduling against measured demand; out-of-home and in-mall media valuation by measured zone density; safety and crowd-flow management; and training computer-vision or demand models on paired camera-derived trajectories with validated ground truth.

The data is with 3 years of history.

Coverage spans US; Application Software, Real Estate Management & Development; geospatial, alternative, sentiment; equities, fixed_income.