Getsafari

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 where a camera view underperforms.

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Brickroad customers

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareReal Estate Management & Development
Instruments: equitiesfixed_income

Dataset card

Type: not stated
Format: Multimodal but delivered tabular — time-series counts, occupancy and dwell per zone/entrance/unit plus raster heatmaps and traced path polylines; exposed via live dashboards, scheduled file exports, and a REST API for integration into Tableau, Power BI, Snowflake or POS systems
Volume: ~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.
Users: N/A as a consumer metric — Safari AI sells per-camera B2B deployments to property operators, so the population is installed camera views and properties, not registered users. Bounded proxy: a 23-person seed-stage vendor deploying 'live in under two weeks' implies tens of properties and hundreds to low thousands of instrumented camera views, not a mass user base.
History: 3 years
Update frequency: not stated
Growth: Active early-growth — seed-funded, 23-person team, current marketing site with a live-demo Action Center and Calendly self-serve demo booking, and expansion across adjacent verticals (general people counting, vehicle counting) beyond the mall product. Growth is deployment-paced (camera-by-camera), not viral.
Launched: ~2021-2023 for the getsafari.ai computer-vision analytics product (est.: seed-stage company profile with a mature multi-vertical product catalog and a 'live in under two weeks' deployment playbook, indicating a product past initial launch but pre-scale)
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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