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One perception layer. Every physical AI use case.
Perceptras standardizes the parts of the stack that keep getting rebuilt stream onboarding, inference configuration, tracking, event output, and observability so teams compose and deploy computer-vision pipelines instead of reinventing them.
LATENCY: 1.2 ms
FPS: 240.0
PRECISION: INT8 / FP8
TRACKS: 14 ACTIVE
STREAM: 1080p @ 60Hz
One Platform. Four Interlocking Modules.
Perception Pipeline Engine
Handles stream decoding, preprocessing, detection, classification, and tracking turning raw visual input into structured, usable perception data.
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Model Runtime & Serving Layer
Registers compatible models and manages inference endpoints, batching, concurrency, and version tracking across every deployed perception pipeline.
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Perceptras Zone
Converts tracked objects into zone, dwell, and movement events, triggering operational alerts teams can actually act on.
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Edge-to-Core Infrastructure Manager
Manages site inventory, deployment status, and configuration distribution across distributed edge devices and centralized core infrastructure.
Built for Where Physical AI Actually Runs.
Description: Perceptras adapts to the environment it's deployed in same pipeline architecture, different cameras, sites, and operational rules.
Industrial Automation
Tracks equipment, workflows, and safety zones across production floors using configurable detection and spatial rule sets.
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Logistics & Warehousing
Monitors dock activity, inventory movement, and zone occupancy across distributed warehouse sites from a single pipeline.
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Retail Environments
Observes store zones, dwell patterns, and traffic flow to generate structured, store-level operational event data.
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Edge-to-Core Deployments
Runs inference at the edge while centralizing configuration, monitoring, and event delivery across every connected site.
Trusted by Teams Building the Next Wave of Physical AI
Early adopters across industrial, logistics, and retail environments are putting Perceptras to work here's what standing up a shared perception layer has meant for their teams.
“We stopped rebuilding tracking logic for every production line. Perceptras gave us one pipeline we could configure per site instead of engineering from scratch each time.”
Marcus Vance
Operations Lead Apex Autonomous Systems
Industrial Automation“Dock activity and zone occupancy used to live in three different tools. Now it's one structured event feed our warehouse systems can actually consume.”
Elena Rostova
Systems Integrator Synapse Industrial Solutions
Logistics“What sold us wasn't a single camera feature it was the infrastructure underneath. We plug in our own models and Perceptras handles the pipeline around them.”
David Chen
Computer Vision Engineer OmniSpatial Labs
Retail TechQuestions Teams Ask Before They Deploy
Straight answers about how Perceptras works, what it does, and what it doesn't promise.
