Conversational AI with Device-Agnostic Ternary Inference
Cybersecurity in ternary — benign, suspicious, or malicious, with the suspicious state as first-class.
Explore the Vision
Discover this technology through five complementary perspectives — from technical architecture to partnership outcomes. Each layer reveals a different aspect of how this innovation creates value.
Cybersecurity in ternary — benign, suspicious, or malicious, with the suspicious state as first-class.
What It IS
Technical VisionThe architectural essence — what makes this technology work
A network security system classifying every flow in three states: benign (allow), suspicious (monitor), or malicious (block). The suspicious state isn't indecision — it's a first-class category triggering enhanced monitoring without disrupting service. Security that can say 'I'm watching you.'
Abstract
Natural language understanding and response generation using ternary models, compatible with phones, embedded systems, and cloud platforms.
Visual Essence
A network security system classifying every flow in three states: benign (allow), suspicious (monitor), or malicious (block). The suspicious state isn't indecision — it's a first-class category triggering enhanced monitoring without disrupting service. Security that can say 'I'm watching you.'
Technology Domains
Related Patents
From the edge-bloom visual family
Cybersecurity Threat Detection via Ternary Networks
Generative AI runs on edge — diffusion models in your pocket.
Sensor Fusion and Multi-Modal Inference at Edge
Documents read, classified, and attested entirely on-device — no cloud, tamper-evident.
Home Inference Devices and Privacy-Preserving Inference
The always-on home AI — three-state command routing with safety constraints and local attestation.
Ternary Inference for Medical Image Analysis
Privacy-preserving collaborative training across the planet — federated ternary learning.