Safari AI leverages enterprise clients' video feed from their cameras and converts it in to real-time metrics, alerts, insights, and recommendations. The company is the world's leading vision AI provider to the global theme park and live venue (stadiums & arenas) industries, and is now expanding to shopping centers, QSR's and logistics. Enterprise clients use Safari AI for two solutions: 1) Speed of Service and 2) Staff Optimization. Think: Legoland measures guest…
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Converting enterprise cameras in to data vacuums and action catalysts using the world's leading video AI platform
Full company description
Safari AI leverages enterprise clients' video feed from their cameras and converts it in to real-time metrics, alerts, insights, and recommendations. The company is the world's leading vision AI provider to the global theme park and live venue (stadiums & arenas) industries, and is now expanding to shopping centers, QSR's and logistics. Enterprise clients use Safari AI for two solutions: 1) Speed of Service and 2) Staff Optimization. Think: Legoland measures guest throughput at its attraction queues and Reconext gets real-time alerts on staff engagement on its factory floor.
Safari AI is VC funded with $14mm of capital and as of Q4 2025 is profitable. The company is headquartered in Miami, FL with team hubs in Vancouver and Sao Paulo.
LinkedIn followers
2,476
People associated on LinkedIn
24
Reported office locations
3350 Virginia St, Miami, Florida 33133, US
Business categories
Information Technology
Infrastructure
Software
SaaS
Internet
Artificial Intelligence (AI)
Computer Vision
Other recorded names
Safari AI
Specialties
Infrastructure
logistics
CRE
Retail
computervision
attractions
parking
qsr
hospitality
machine learning
and AI
Profile identifies a recruitment agency
No
Reported total investment
8,000,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Safari AI: The company is the world's leading vision AI provider to the global theme park and live venue (stadiums & arenas) industries, and is now expanding…
4+ YOECandidates need 4+ years of Python software experience, along with real-time data streaming and analytics skills using Kafka, Pulsar or InfluxDB. Experience with AWS cloud services, Kubernetes, and migrating services to Rust is also sought.