Funding
Artificial Intelligence / Machine Learning
AHEM
AHEM is a cough screening tool that uses audio signal processing coupled with machine learning, providing children an early indication of asthma, lower and upper tract respiratory infection.
Auroflow
BlackZero
A solution which provides 24/7 continuous vulnerability assessment of your environment and utilises AI to generate possible paths based on vulnerabilities & services from device, allowing users to rank which devices should be patched first based on severity of the device. It also provides an immediate solution if a patch is unavailable, allowing vulnerable devices to continue being used.
SEAL
SEAL (Self-Evolving Adaptive Learning) offers Adaptive Learning as a Service (ALaaS) for personalised learning automation. We provide a complete set of APIs and development tools to support the adaptive learning backend for learning management systems.
AirQ
AirQ platform is an innovative, cost-effective solution for air quality and environmental monitoring. The AirQ device is small, portable and low-cost. It provides real-time and location-specific air quality and environmental data via the AirQ Dashboard and Smartphone App.
Advanced data analytics techniques have been developed for data calibration and data-driven services. The AirQ solution can be used for schools and childcare centres, facilities management, intelligent lampposts, smart buildings, and other use cases.
WalledAI
Walled AI empowers enterprises to fully leverage AI by ensuring control and predictability in AI systems through comprehensive governance solutions, including safety guardrails, safety tests, alignment algorithms, and automated red-teaming.
AICrit
AICrit is a state-of-the-art AI-based cyber defence solution designed to enhance the resilience of industrial networks against sophisticated cyber threats. Our technology seamlessly integrates advanced deep learning algorithms with extensive domain expertise, enabling us to transcend traditional anomaly detection and achieve anomaly avoidance. AICrit’s unified framework continuously monitors the normal spatio-temporal relationships among highly correlated components in real-time, preserving the integrity of control behaviours in industrial networks. By combining data-centric approaches with in-depth design knowledge, AICrit delivers robust, scalable, and effective anomaly avoidance, providing a strategic advantage in the rapidly evolving OT cybersecurity market across the water, power, and energy sectors.