SIYTE is our AI-powered intelligence platform that connects cameras, sensors and systems into a single, real-time operational view - from edge to cloud.
























































Cameras and sensors are continuously monitored using AI to detect incidents in real time without manual oversight.

Data is analysed in real-time -correlating across cameras, sensors and systems to provide insights and improve accuracy.

Every alert is enriched with visual and data context, ensuring teams are informed and ready to respond.

Clear, actionable visibility helps teams improve efficiency, optimise usage and enhance overall experience.

Kai analyses your data through a conversational interface to identify issues, patterns and provide predictive insights.

A flexible interface adapts to each user, delivering the right views, insights and controls for every role.

Our modular use case builder allows you to combine vision, IoT and existing systems into logical decision trees - enabling advanced, real-world use cases such as detecting if a vehicle is dwelling in a zone while a barrier is down.
SIYTE applies advanced AI to any camera source - including CCTV, drones and driver monitoring systems - enabling real-time processing via edge compute or powerful retrospective video analysis at scale.
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Bring together video, IoT and system data into clear, actionable intelligence that’s easy to understand and act on.
Filter false positives and low-confidence alerts so teams can focus attention on genuine risks and meaningful activity.
Early warning signals across your data trigger automatic alerts, helping prevent disruption before it occurs.
Kai answers any questions about your environment, surfacing relevant data and context to deliver data-backed responses.
SIYTE is built with privacy and security at its core. Data handling aligns with customer policies and regulatory requirements, with controls for access, retention and anonymisation to support use in regulated and critical environments.


SIYTE can harness any AI model including CNNs, VLMs and LLMs - applying them across video, sensor and system data. This allows organisations to adopt new models and approaches over time without re-architecting their platform.
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