Vision-Language Models · Edge-Native · Facilities Management

Contextual intelligence
for every facility

Zenseo AI turns ordinary IoT cameras and sensors into a unified layer of facility intelligence — condition scoring, hazard and exception alerts, utilisation insight, and dispatch-ready actions — across offices, campuses, and commercial buildings. Privacy-first: raw footage can stay on site.

Whole-building FM scopeOEM-ready API & DockerPrivacy-first by design
Zenseo AI dashboard showing facility condition scores and live sensor capture
Live POC · Facility intelligence in production
VLM
Understands context — not just people counts
FM-wide
Corridors, lobbies, stairs, workspaces & more
Edge
On-prem processing · privacy-first by design
Integration
Built for camera & sensor manufacturers

The gap in facilities management

Sensors see activity.
They don’t understand the building.

Modern facilities are full of cameras and IoT devices, yet teams still patrol floors, scrub CCTV after incidents, and discover problems only when someone walks past them.

01

Reactive operations

Cleaners, security, and FM staff check spaces on schedule — even when most areas need no attention — and review footage only after something goes wrong.

02

Dumb occupancy & blind spots

PIR and basic sensors miss passive use, left-behind items, blocked egress, spills, equipment left on, and other conditions that matter to safety and service quality.

03

Rigid computer vision

Traditional CV needs new labelled data and retraining every time facility policy or a new space type changes — too slow for real FM.

Where Zenseo applies

General facilities management — not a single room type

One VLM platform, configurable by prompt and policy, across the spaces that actually drive FM workload.

Lobbies & reception

Unattended bags, queue pressure, clutter, and reception readiness before peak hours.

Corridors & circulation

Blocked pathways, trip hazards, wayfinding issues, and after-hours anomalies.

Stairwells & egress

Blocked exits, smoking indicators, debris, and conditions that affect fire safety compliance.

Open office & workspaces

Utilisation patterns, cleanliness exceptions, and space condition for hybrid workplaces.

Shared amenities

Pantries, lounges, collaboration zones, and multi-use areas that change state constantly.

Campus & multi-tenant

Consistent exception rules across floors and buildings — with local edge deployment where privacy demands it.

Product

From camera frame to facility action

Zenseo converts sensor imagery into operational scores, prioritised exceptions, and alerts your FM, cleaning, and security teams can act on — in tools they already use.

Condition & readiness scoring

Know the state of a space — before you send a team

Multi-dimensional scores for overall condition, cleanliness, furniture/layout, equipment, and related factors — with plain-language reasons facilities teams can trust. Send people only where the score and issues justify it.

  • Scored dimensions with short explanations
  • Exception-based dispatch instead of blind floor walks
  • Prompt-tuned policies per space type or client
Facility condition scores from live sensor analysis
Exception & hazard detection

Pinpoint what needs attention — and where

Flag left-behind items, clutter, layout problems, and other visual exceptions with severity levels, suggested actions, and optional bounding boxes on the capture.

  • HIGH / MEDIUM / LOW prioritisation
  • Localised boxes for faster response
  • ROI focus so the VLM analyses the zone that matters
Issue bounding box on facility sensor imagery
Ops workflows

Push insights into tools teams already use

Structured alerts (e.g. Microsoft Teams Adaptive Cards) deliver issue lists and actions to the people who clean, secure, and operate the building — not another dashboard nobody opens.

  • Capture-linked exception summaries
  • Clear recommended actions
  • Fits cleaning, security, and FM workflows
Microsoft Teams facility issue alert

Capabilities

Built for real facilities operations

Contextual VLM

Understand space condition, safety cues, and exceptions with zero-shot prompts — not fixed object classes alone.

Edge-native

Run analysis on-prem. Raw video stays local; only structured metadata needs to leave the site.

Cloud API

Partner-ready API for manufacturers who want AI analytics behind every device they ship.

Docker package

Offline demo packaging so partners can evaluate without internet or multi-GB model downloads.

Prompt library

Adapt rules per facility policy and space type without multi-week computer-vision retrain cycles.

Hardware agnostic

Validated on real RTSP ceiling sensors; designed to integrate across camera and IoT brands.

For manufacturers

The AI analytics layer for facility-grade hardware

We equip IP camera and IoT sensor manufacturerswith a Vision-Language Model backend so their devices ship with software-defined differentiation for the global FM market.

Cloud APITrial credits → usage plans for partner backends
On-edge SDKPrivacy-first Docker for Jetson-class and similar devices
OEM pathWhite-label analytics inside your existing channel
Talk to us about integration

Why hardware partners choose Zenseo

  • Skip building an in-house VLM team
  • Offer AI features FM buyers already ask for
  • Edge option for regulated, privacy-sensitive sites
  • Scale through your distribution — not a new sales force
Ceiling sensor view of a commercial workspace

Compatible with modern occupancy & open-edge sensor ecosystems

About Zenseo AI

General-purpose workplace intelligence

Zenseo AI is the pioneer of general-purpose workplace intelligence powered by state-of-the-art Vision-Language Model (VLM) technology. We transform standard commercial IoT camera feeds into a unified layer of spatial intelligence, enabling enterprise organizations to automatically measure, analyze, and optimize their physical real estate.

By moving beyond rigid legacy hardware, Zenseo’s software-driven approach interprets complex environments exactly like a human would—but at a global scale. From tracking true passive occupancy and space utilization to calculating our signature automated Meeting Room Tidiness Index (MRTI), Zenseo converts raw visual data into immediate, actionable operational data.

Whether you are a Corporate Real Estate (CRE) executive looking to right-size your global footprint, a Facility Manager optimizing maintenance workflows, or a Workplace Experience leader enforcing office standards, Zenseo provides the objective insights needed to slash operational overhead and build frictionless corporate environments.

For CRERight-size footprint
For FMOptimize workflows
For workplaceEnforce standards
See your space. Score its readiness. Scale your efficiency.
— Zenseo AI

Get in touch

Smarter sensors.
Smarter facilities.

Whether you manufacture cameras and IoT hardware, or operate facilities that need contextual intelligence — we’d like to hear from you.