RiskChip™ is Qont’s enclosed high-performance module engineered for NVIDIA® hardware platforms. It forms the full risk computing layer for machines, vehicles, robotics systems and everyday devices. The unit brings Qont’s structured risk technology directly to the edge, allowing systems to process and understand risks on-device without relying on external infrastructure. RiskChip™ will be available from late December 2025 through early 2026.
Built on NVIDIA® for Performance and Reliability
Qont selected NVIDIA® hardware for its performance under load, reliability and mature ecosystem. These characteristics make it suitable for running the full risk computing layer in demanding environments where stability is essential. The platform provides the compute foundation required for sustained and controlled processing.
Running Qont’s Full Risk Computing Layer
RiskChip™ is imaged with Qont’s engineered risk computing stack before shipment. The module runs advanced RMI components that compute and interpret risks directly on the device. It uses its processing capacity to detect, understand and analyse a wide range of risk conditions across operational scenarios.
Delivered as a Ready-to-Use Enclosed Module
Each RiskChip™ arrives as a complete enclosed unit rather than a bare board. Qont pre-configures and prepares the module so organisations and developers can deploy it immediately on arrival. This approach ensures consistent behaviour and reduces setup time across different environments.
Designed for Edge Deployment Across Devices
RiskChip™ supports systems that require on-device risk computing, including robotics platforms, vehicles, field systems and everyday personal devices. The module brings structured risk interpretation to the point of operation, enabling stable processing in locations where cloud connectivity may not be available.
A Long-Term Hardware Direction for Qont
RiskChip™ reflects Qont’s commitment to expanding the hardware side of Risk Computing. The module strengthens the company’s architecture and establishes a dedicated hardware path for future systems.