SF2 Systems

SF2 Systems provides an end-to-end ecosystem of hardware and software for industrial condition monitoring, anomaly detection, and predictive maintenance using deterministic AI called Semantic Folding Sensor Fusion. It transforms raw sensor and time-series data into digital state representations called semantic fingerprints for real-time analysis without cloud connectivity or data-science expertise.

The platform is designed for engineers, maintenance teams, and operations professionals in industrial settings who need to monitor machine health, detect anomalies, and perform predictive maintenance without relying on cloud services or specialized data-science teams.

SF2 processes multiple sensor channels into a unified system state using semantic fingerprints, which are binary vectors representing machine states. It performs analysis locally with efficient binary operations, enabling real-time detection of state changes without matrix inference or cloud dependency.

Yes, SF2 operates entirely locally, ensuring full data control and supporting isolated or cloud-free environments. This makes it suitable for sensitive production environments where data must remain on-premises.

The SF2 ecosystem includes SF2 Suite SE for local data exploration and model creation, SF2 Suite RT for model management and distribution, SF2 Engine RT for executing models in production, and optional hardware like the SF2 Edge Device and SF2 Verification Device for edge deployment and field validation.

Start by using SF2 Suite SE, a free local analysis tool, to validate sensor logs and create models on your workstation. Once validated, models can be managed and deployed using SF2 Suite RT and executed via SF2 Engine RT on edge devices or servers for continuous monitoring.