Predictive AI: Will help our lives to be Better, Smarter, and Safer!
Making a Difference is What Matters
The SARAHAI platform, developed by Tensor Networks, Inc., is a transformative force multiplier designed to help make a dangerous world safer by empowering real-time decision-making across critical sectors. By unifying advanced inference engines, pattern-of-life analytics, and edge-to-cloud AI capabilities, SARAHAI enhances the operational readiness of Federal, State, and Local Governments, strengthens the security posture of Educational Institutions, fortifies grid resilience for Utilities, and safeguards infrastructure for Telecom ISPs. From detecting UAV threats and cyber intrusions to predicting energy demand anomalies and protecting sensitive data, SARAHAI delivers mission-critical insights at machine speed. Its deployment turns siloed data into actionable intelligence, enabling coordinated, AI-driven responses that protect lives, secure assets, and maintain continuity across our nation’s most vital systems.

Predictive AI presents an outstanding opportunity for automation and force-multiplication to improve service and results across agencies and departments.
Predictive AI: Will Improve Government, Utilities, & Enterprise Services for Everyone!
SARAHAI-INFERENCE 24-Streams 1-Instance Air-Gapped

Predictive AI: Will Make Energy, Finance, and Insurance Less Expensive for Everyone!

Predictive AI: Will Improve Legacy Infrastructure Performance to Reduce Costs for Everyone!
The chart above demonstrates the substantial performance advantage of SARAHAI-INFERENCE, which can analyze up to 24 simultaneous Pattern-of-Life (PoL) video streams, compared to only 4 streams using traditional inference methods. This highlights SARAHAI's scalability and efficiency in real-time surveillance, edge analytics, and multimodal inference pipelines.
​The chart shows the performance boost of SARAHAI-STORAGE for AI clusters, delivering 200,000 IOPS, which is 4x the performance of traditional storage solutions (50,000 IOPS). This enables significantly faster data ingestion, training set access, and model checkpointing, reducing I/O bottlenecks across high-performance AI pipelines.
The chart above compares the time required to complete various data science tasks using SARAHAI-LLM versus typical methods. It clearly illustrates how SARAHAI-LLM significantly accelerates workflows—reducing multi-hour tasks to nearly one or two hours, demonstrating its value in streamlining end-to-end data science operations.
This chart showcases the superior responsiveness of SARAHAI-FACILITY for smart building automation, achieving an average response latency of just 100 milliseconds, compared to 800 milliseconds with traditional systems. This rapid response enables real-time optimization of HVAC, lighting, security, and occupancy management—dramatically improving energy efficiency and occupant experience.
This chart illustrates the data throughput advantage of SARAHAI-NETWORK, which achieves 400 Gbps for NCCL or RCCL AI cluster traffic—four times the bandwidth of traditional networking methods operating at 100 Gbps. This substantial gain in throughput enables faster model training, reduced latency, and more efficient synchronization across distributed AI workloads
This chart highlights the exceptional scalability of SARAHAI-IOT, which can process 1,000,000 MQTT messages per second—10x the throughput of traditional IoT handling methods. This makes it ideal for large-scale deployments across utilities, smart cities, and industrial environments requiring high-frequency sensor ingestion and real-time Pattern-of-Life analysis.
* Test Results based upon simulated data. Results may vary.
Optical Flow: Adapting to New Threats to Help Protect Everyone!
SARAHAI-UAV OPTICAL FLOW

Predictive AI: Will Improve Machine-to-Machine Autonomy to Improve the Life of Everyone!
SARAHAI-LLM with Predictive AI Modeling
