Zensors · Jun 2026
Announces a TSA partnership to automate passenger-throughput data collection at checkpoints using Hologram, with Boston Logan among the early deployments and real-time wait-time support across airports.
AI to understand and automates the physical world
Company research
Public company, workplace, funding, and market signals
Overview
Zensors is a San Francisco-based Carnegie Mellon spinout building physical AI / spatial intelligence software that turns existing cameras, sensors, and warehouse data into real-time operational insight and automated actions for airports, transit, retail, and commercial facilities.
Primary product
Zensors Hologram / spatial intelligence platform for physical-world understanding and AI-driven operations automation
Founded
2019
Headquarters
535 Mission St, San Francisco, California 94105, United States
Team size
11-50
Work style
Hybrid
Industry
Software Development
Sub-industry
Physical AI / spatial intelligence / computer vision analytics
Offices
San Francisco, California, United States
Pittsburgh, Pennsylvania, United States
Business model
B2B enterprise software
SaaS / platform
Intelligence-as-a-service
Implementation and integration services
Funding
Stage
Seed
Total raised
$125K
Latest round
Seed · Sep 2022
People & investors
Leadership
Chief Executive Officer / Founder
Chief Growth Officer
Chief of Staff & Head of Strategic Partnerships
Co-Founder
Work & culture
Mission-driven and design-led, with an emphasis on solving complex real-world problems, business impact over ideas, and human-centered innovation.
Work style
Hybrid
Compensation
No public salary bands or compensation ranges were found on the company’s public pages; the careers site emphasizes remote and full-time roles, but compensation is not publicly posted.
Product & market
Pricing
Custom enterprise pricing; contact sales / request demo
Differentiators
- —Uses existing cameras and sensors instead of requiring new hardware
- —Multimodal AI across video, time-series, text, and metadata
- —Privacy-preserving analytics with anonymity and no facial recognition in some solutions
- —Vertical-specific models for aviation, transit, retail, and commercial facilities
- —Produces recommended actions and operational automation, not just dashboards
- —Designed for rapid deployment on legacy infrastructure and data warehouses
Technology
TypeScript
React
Python
PyTorch
CUDA
NVIDIA Metropolis
Neo4j
PostgreSQL
JavaScript
Jira
AWS
LLM
computer vision
Customers
Transportation Security Administration (TSA)
Harry Reid International Airport (LAS)
Boston Logan International Airport (BOS)
Cork Airport
NJ Transit
Toronto Pearson International Airport
airports and airport authorities
retailers
commercial real estate operators
transit agencies
Competitors
Density
Samsara
VSBLTY
NODAR
Autodesk Forma
Scale & contact
Latest news
Zensors · Nov 2025
Case study describing LAS deploying Zensors across 500+ cameras, cutting manual data collection, and achieving operational and cost savings.
Zensors · Jun 2024
Launches an AI Adoption Alliance for aviation with NVIDIA and AWS under the Cities Today Institute umbrella.
Zensors · Jan 2024
Announces Alex Covarrubias as Chief Growth Officer to support global expansion and enterprise growth.
Zensors · Nov 2023
Notes a public-sector transit win using existing cameras to provide ridership data and analytics.
Jobs and careers at Zensors
0 jobs at Zensors
No open positions
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