Commercial Real Estate | Safari AI
Commercial Real Estate

Real-Time Intelligence for Every Property, Every Tenant, Every Space.

Safari AI connects to your existing cameras to deliver live pedestrian counts, door traffic, parking utilization, and space heatmapping. No construction, live in under two weeks.

What We Do

Turn every camera feed into a decision your team can act on.

Pedestrian Traffic Analysis

Verified foot traffic for acquisitions and lease pricing.

  • Validate acquisitions with real counts before closing
  • Benchmark portfolio properties to prioritize improvements

Door Counts

Per-entrance visitor flow for leasing and tenant reporting.

  • Back premium pricing with objective traffic data
  • Give tenants verified counts to justify their location

Parking Utilization

Live stall occupancy to recover revenue and reduce waste.

  • Identify underused zones and repurpose or monetize them
  • Surface live availability to tenants and guests

License Plate Recognition

Automated plate detection to stop unauthorized parking.

  • Recover revenue from misused stalls automatically
  • Automate guest registration without added staffing

Staff and Guest Engagement

Staff presence vs. visitor volume by time of day.

  • Verify front desk coverage matches actual visit volume
  • Cut labor during verified low-traffic windows

Space Heatmapping

Zone-level traffic density to maximize revenue per sq ft.

  • Flag underutilized premium spaces for repositioning
  • Back rent reviews with verified zone traffic data
See the Dashboard

Every view your property management team needs, live.

From parking utilization to pedestrian traffic trends, Safari AI surfaces the right data at the right moment and tells your team exactly what to do.

Give investors and tenants the foot traffic data they need to make confident decisions.

Track pedestrian volume at your properties in real time. Whether you are evaluating a new acquisition or building the case for a lease renewal, verified foot traffic replaces estimates with objective data.

  • Per-property pedestrian counts updated throughout the day
  • Peak traffic windows by day of week for leasing presentations
  • Multi-property comparison to benchmark portfolio performance
  • Trend reports showing traffic growth to support pricing decisions
Book a Demo
Action Center
LIVE11:34:08
Weekday midmorning
Leasing Opportunity · 11:30
Building A averaged 1,840 pedestrians/day this week, up 22% on last month. Update the prospective tenant deck for Suite 102 with this week's verified data before Friday's tour.
Peak: Tuesday 12pm to 2pm, 312 pedestrians/hrExport Report →
Pedestrians/Day This week
2,200 1,400 600 Mon Wed Today
Bldg ABldg BBldg C
Daily Average
Building A
1,840
Building B
1,320
Building C
920

Stop leaving parking revenue on the table by not knowing which stalls go unused.

Track live stall occupancy across every lot. When utilization reveals consistently empty zones, your team gets a specific recommendation to recover revenue or improve the tenant experience.

  • Real-time stall occupancy by zone updated throughout the day
  • Unauthorized parking alerts with recommended enforcement actions
  • Peak utilization reports for dynamic pricing or reserved stall programs
  • Monthly trend to identify chronic underuse and reallocation opportunities
Book a Demo
Action Center
LIVE11:34:08
Weekday midmorning
Unauthorized Parking · 11:28
3 vehicles in Lot B reserved stalls with no registered plates. Dispatch enforcement to Lot B rows 4 and 7. LPR match shows no registered tenants or visitors for these plates.
Vehicles parked 2hr 14min, 1hr 48min, and 34minMark as Acted →
Lot Occupancy (%) Today
80% 100 60 25 7am 10am Now
Lot BLot AGarage
Lot Occupancy
Lot B
96%
Lot A
74%
Garage
58%
Lot C
32%

Arm your leasing agents with verified visitor data before every tenant negotiation.

Track visitor flow at every building entrance. Whether closing a new lease or renewing an existing one, door count data gives your team an objective basis for pricing conversations.

  • Per-entrance visitor counts updated throughout the day
  • Peak traffic windows exportable for leasing and investor reporting
  • Month-over-month trend to show traffic growth alongside rent reviews
  • Multi-property comparison to justify premium pricing at high-traffic locations
Book a Demo
Action Center
LIVE11:34:08
Weekday midmorning
Leasing Data Ready · 11:25
Building A North Entrance averaged 312 visitors/hr during the 12pm to 2pm window, 34% above market comp estimates. Use this in Thursday's tenant renewal meeting to support the premium rate ask.
30-day report ready, verified against manual countsExport Report →
Daily Visitors This week
500 300 100 Mon Wed Today
NorthSouthService
Avg Daily Visitors
North
1,840
South
1,300
Service
420

Find out which areas of your property drive the most traffic and price them accordingly.

Track foot traffic density across every area. When high-value spaces underperform or low-traffic zones present a reallocation opportunity, your team has the data to act on it.

  • Live density heatmap across every floor and common area
  • Per-zone traffic totals exportable for leasing and investor reporting
  • Underperforming space alerts with repositioning recommendations
  • Traffic comparison across floors and wings for future layout decisions
Book a Demo
Action Center
LIVE11:34:08
Weekday midmorning
Pricing Opportunity · 11:22
Zone A (ground floor atrium) receives 68% of total building foot traffic this month but the 3 atrium-facing units are priced at standard rates. Flag Zone A units for premium rent review ahead of January lease cycle.
Zone D (rear wing) at 8% of traffic, repositioning opportunityExport Zone Report →
Zone Traffic Share This week
80% 50% 20% Mon Wed Today
Zone AZone BZone D
Zone Traffic Share
Zone A
68%
Zone B
24%
Zone C
10%
Zone D
8%
The Problem

Guessing is costing you lease revenue, parking income, and investment confidence.

Most CRE operators rely on manual counts or third-party surveys when making pricing and investment decisions. By the time an underperforming space is identified, the lease cycle has already closed.

  • Lease negotiations happen without verified foot traffic, leaving premium pricing on the table
  • Parking revenue lost to unauthorized vehicles with no automated detection or enforcement trigger
  • High-value spaces priced the same as low-traffic ones with no zone-level data to justify the difference
  • Investment decisions made on third-party estimates, not verified counts at the specific property
See How Safari AI Solves This
95%+
Counting Accuracy

Validated against manual ground-truth counts at your deployment. If any camera view underperforms, we retune at no cost before you go live.

<2wk
Time to Live
$0
New Hardware
24/7
Live Data
How It Works

Leverage your existing cameras. No construction. Live in under two weeks.

Step 01

Camera Review

We assess your existing CCTV or IP camera feeds remotely. Compatible views proceed; any incompatible ones are flagged before any commitment.

Step 02

On-Prem Deployment

A compact server is installed on-site and connected to your camera streams. All video is processed locally. Nothing leaves your network.

Step 03

Calibrate and Go Live

Models are validated against manual counts at your location. Once accuracy is confirmed, you are live with real-time dashboards and API access from day one.

Case Studies

How leading commercial real estate operators use Safari AI to drive decisions.

Free 30-Day Pilot

See exactly what your cameras can do.

Evaluate Safari AI on your existing camera infrastructure for 30 days. No credit card, no commitment.

30-day free pilot · No credit card required · Uses your existing cameras · Video processed on-premise

Rather we reach out? Fill out the form and someone from our team will be in touch to schedule a demo.

Frequently Asked Questions

How accurate is Safari AI's footfall counting?

Safari AI delivers 99%+ accuracy on pedestrian and footfall counts across indoor and outdoor environments. Accuracy is validated against manual ground-truth counts during deployment. If a camera view underperforms, we retune the model to your specific environment before you go live, at no additional cost.

Do I need to replace my cameras to use Safari AI?

No. Safari AI works with the CCTV and IP cameras you already have. No rip-and-replace, no construction, no re-wiring. An on-premise server is installed to process video locally; your existing camera infrastructure stays exactly as it is.

How long does Safari AI deployment take?

Most customers are live within days to a few weeks. After a camera compatibility review, we install the on-prem server, connect camera feeds, calibrate the models, and validate accuracy against your baselines before going live.

Can Safari AI handle high-density crowds?

Yes. Safari AI is built for high-density venues — theme parks, NBA and NHL arenas, outlet centers, and stadium concourses. Models handle occlusion, overlapping visitors, and non-linear movement that defeats traditional beam-break sensors. Clients include LEGOLAND, Charlotte Hornets, and Calgary Flames.

Can Safari AI integrate with Tableau, Power BI, Snowflake, or our POS?

Yes. Footfall counts and analytics are available via live dashboards, scheduled exports, and a REST API. You can pipe data into Tableau, Power BI, Snowflake, your POS, or any internal system. Most customers run Safari AI alongside existing BI and RevOps workflows.

How does Safari AI pricing work?

Pricing is per-camera and scales with the number of cameras, sites, and measurement types. Pedestrian counts, occupancy, dwell time, queue wait time, and more can be layered on the same feeds. A free 30-day pilot with no credit card required is available so you can validate accuracy and ROI before committing.