The SARAHAI platform, developed by Tensor Networks, Inc., is a patented, full-stack AI solution designed to operate entirely on-premise, delivering advanced predictive intelligence for national security and critical infrastructure quality control, such as utilities and telcos. Originally developed to detect and neutralize insider threats, saboteurs, and sleeper cells targeting military bases and essential infrastructure, SARAHAI continuously learns from real-time data streams, including physical access logs, sensor telemetry, network activity, grid signals, and human behavioral patterns. Leveraging its foundation in Pattern-of-Life (PoL) estimation and unsupervised anomaly detection, as defined under U.S. Patent, the system identifies subtle deviations from normal operations, such as unauthorized access, irregular energy usage, or anomalous time-based behaviors indicative of tampering or threat coordination.

SARAHAI's dual-use architecture makes it especially valuable. It allows the same predictive AI core to be applied in quality control, asset integrity, and facility operations across energy, utilities, telco, and manufacturing sectors. Whether identifying degradation patterns in substation sensors, irregular load behavior in distributed assets, or procedural violations in high-security environments, SARAHAI brings intelligence to the edge, without the risk or recurring cost burden of cloud-based systems.

As an on-premise platform, SARAHAI ensures chain-of-custody integrity, full data sovereignty, and zero reliance on external servers or third-party APIs. This architecture strengthens compliance with defense-grade operational security and eliminates hidden operational costs such as cloud subscriptions, data ingress/egress fees, and latency-related inefficiencies. The result is a scalable, self-contained AI system that empowers its operators with autonomous, high-assurance decision support, whether defending against sabotage or ensuring high-quality production, throughput, and asset performance.