SIYTE provides an operational intelligence platform that integrates CCTV, sensors, and other systems with AI-driven Guardians to detect risks, predict disruptions, and trigger automated responses.
Funding
$5.9M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Operators of rail, road, maritime, security, policing, campus, and utility infrastructures often rely on disparate CCTV cameras, sensors, and legacy systems that provide fragmented data, making it difficult to detect emerging risks, predict service disruptions, and coordinate timely responses.
Solution
SIYTE offers an operational intelligence platform that unifies video feeds, IoT sensors, and existing control systems into a single, real‑time view powered by AI‑driven “Guardians.” These agents continuously monitor data streams, correlate events across sources, and generate context‑rich alerts that include visual evidence and sensor readings. The platform supports edge and cloud processing, enabling both live incident detection and retrospective video analysis at scale. Users can interact with the system through a conversational AI assistant, Kai, to explore patterns, receive predictive insights, and build custom decision‑tree use cases without coding. Privacy‑by‑design controls and model‑agnostic architecture allow organizations to apply any AI model while complying with regulatory requirements.
Target Audience
Primary customers are operators and managers of transportation networks, maritime ports, public safety agencies, campus facilities, and utility providers who need integrated, real‑time risk detection and response capabilities.
Features
- Continuous AI monitoring of any camera source (CCTV, drones, driver‑monitoring) with edge compute or cloud‑scale video analysis
- Integration of heterogeneous IoT sensors and legacy systems into a unified operational dashboard
- Context‑aware alerts enriched with visual clips, sensor data, and actionable recommendations
- Conversational AI assistant (Kai) for query‑driven insights, pattern detection, and predictive analytics
- Modular use‑case builder that lets users combine vision, sensor, and system inputs into custom decision trees
- Privacy and security controls for data access, retention, and anonymisation to meet regulatory standards
- Model‑agnostic framework supporting CNNs, vision‑language models, and large language models for future upgrades