Transforming real-world environments into intelligent ecosystems through advanced computer vision, AI-powered analytics, and edge intelligence.
3Cubicles transforms visual data into actionable intelligence through advanced computer vision, artificial intelligence, real-time video analytics, and edge computing technologies.
Computer Vision & visual data acquisition
Every camera, sensor, and stream becomes a precise, structured source of visual truth. We capture the world at the pixel level with multi-camera ingestion, calibration, and edge pre-processing.
AI intelligence, detection, recognition & analytics
Detection, tracking, recognition, and behavioural analytics turn raw frames into context: who, what, where, how many, and how it is changing over time.
Intelligent automation & real-world decisions
Insight becomes action within milliseconds: alerts, workflows, integrations, and automated responses that close the loop between perception and outcome.
Perceive. Understand. Act. · Intelligence in Every Dimension.
From the first pixel to the final action, each pillar is engineered to operate in real environments: unpredictable lighting, hundreds of streams, and decisions that cannot wait.
Detection, tracking, segmentation, and recognition models engineered for real-world cameras, lighting, and angles.
Behavioural, spatial, and temporal analytics that turn detections into KPIs, trends, and anomalies.
Optimised inference on edge accelerators for millisecond latency, offline resilience, and bandwidth efficiency.
A streaming pipeline built for continuous operation: decode, infer, correlate, and alert within a second.
Rules and workflows that convert insight into action: alerts, device control, and system-to-system automation.
Open APIs, SDKs, SSO, and governance so Vision AI becomes a first-class part of your enterprise architecture.
Six products, one perception platform. Each runs on 3Cubicles Core, deploys on 3Cubicles Edge, and is designed to work with the cameras and systems you already own.
The same perception platform adapts to the risks, flows, and regulations of each industry.
A streaming architecture that captures, infers at the edge, correlates across cameras, and acts through the systems you already run.
Ingest from any camera, VMS, or sensor over RTSP/ONVIF, with health monitoring and calibration.
Run optimised models on-site to detect, track, and recognise with millisecond latency.
Correlate events across cameras and time into metrics, anomalies, and context-rich alerts.
Route to people and systems: alerts, workflows, device control, and enterprise integrations.
Deploy anywhere
Edge, on-prem, cloud, or hybrid.
We build for the moments that matter: the alert that must arrive, the privacy that must hold, the integration that must not break.
Sub-second end-to-end latency specified, measured, and monitored, not just advertised.
Raw video stays on-site. Only events and evidence travel, saving bandwidth and protecting privacy.
Anonymisation at source, retention controls, masking, and audit logs in every product.
Standards-based ingestion from existing cameras and VMS. No rip-and-replace.
REST, webhooks, SDKs, and SSO so Vision AI becomes part of your enterprise, not a silo.
Evaluated on your cameras and conditions, with event-level precision operators can trust.
How 3Cubicles comes together in practice
Practical perspectives on computer vision, edge AI, and operating Vision AI responsibly at scale.
Latency, bandwidth, privacy, and cost pull in different directions. Here is how to decide where each part of a Vision AI pipeline should run.
Frame rate, inference time, and end-to-end latency are three different numbers. Confusing them leads to systems that look fast in demos and fail in operations.
Privacy is not a policy document. It is a set of architectural choices that decide what data exists, where it lives, and who can see it.
Perceive. Understand. Act.
Talk to our team about your environment, your cameras, and the decisions you need to make faster. We will show you 3Cubicles running on scenarios like yours.