One Platform, Four Layers: Vision, Edge, Intelligence & Command.
The Proglint platform unifies purpose-built computer vision models, flexible edge or cloud GPU inference, and a single enterprise command center — turning cameras, sensors, and POS systems you already have into continuous operational intelligence, not another archive of unwatched footage.
The Platform Narrative
How a Camera Feed Becomes a Business Decision
Every capability on this site is a piece of the same eight-stage pipeline — from a physical event on the floor to a logged, evidence-backed business outcome.
Physical World
Store floors, kitchens, checkout lanes, drive-thrus, and production lines — operational reality before any signal is captured.
Cameras, Sensors & POS
Existing IP cameras, industrial sensors, and POS or transaction systems generate continuous raw signal — no new hardware required.
Computer Vision
Purpose-built object detection models and multi-object tracking interpret each frame — detecting people, products, and process states.
Edge AI
Inference runs on GPU hardware, either on-premise or in the cloud via an on-site VMS — the deployment model is chosen per customer.
Contextual Intelligence
Visual events are correlated against POS records, sensor states, and business rules to determine what actually happened.
Operational Decisions
The system determines whether an event warrants an alert, a log entry, or no action — filtering signal from noise.
Automated Actions
Alerts route to supervisors, evidence clips attach automatically, and incidents log into the Enterprise Command Center.
Business Outcomes
Continuous audit coverage and a searchable record replace passive footage and periodic manual checks.
SEE and UNDERSTAND run on Vision AI and Edge AI. DECIDE and ACT are governed and logged inside the Enterprise Command Center — see how each layer works below.
Platform Layers
Every Layer, in Detail
Each layer of the platform has its own architectural page — what it does, what it connects to, and where it fits in the SEE → UNDERSTAND → DECIDE → ACT pipeline.
Vision AI Engine
Purpose-built detection models across six intelligence domains — People, Products, Processes, Transactions, Equipment, and Environment — rather than one generic model stretched across every problem.
Computer Vision Infrastructure
The stream pipeline that connects existing IP cameras and NVRs to real-time inference — camera-agnostic ingestion, no hardware teardown required.
Edge AI
Inference runs on GPU hardware — on-premise for the lowest latency, or in the cloud via an on-site VMS for customers who would rather not invest in edge hardware everywhere. Chosen per deployment.
Enterprise Command Center
The layer that synthesizes millions of isolated physical events — across every location, camera, and edge device — into one searchable, governed view.
The Business Case
A qualitative framework for thinking through the ROI of continuous monitoring before deployment-specific numbers exist — honest about what is and isn't yet measured.
Not Theoretical
What's Actually Running on This Platform
The architecture above isn't a diagram waiting to be built — it's what powers every solution and industry deployment on this site today.
By Business Problem
See the Platform on Your Own Cameras
Schedule a customized demonstration with our enterprise AI engineering team. Discover how Proglint deploys across 2,500+ locations with zero camera teardowns.