Visus: Physical Truth Oracle for AI

Visus is an AI decentralized data protocol that converts everyday smartphones into hardware-locked biological sensors to supply cryptographically verified physical-world truth to AI systems, for developers, AI researchers, and Web3 builders who need real-time, tamper-resistant ground-truth data.

Rather than relying on self-reported inputs or centrally hosted data pipelines that can be spoofed, Visus operates as a Truth-as-a-Service (TaaS) layer built on a decentralized network. Each participating smartphone acts as a locked sensor node, capturing biometric and environmental signals, then cryptographically signs and anchors those readings on-chain before they ever reach an AI interface. This means downstream AI models receive data that carries a verifiable chain of custody — not just a claim that the reading is real.

Key capabilities described in the protocol specification include: hardware-binding that ties sensor sessions to a specific physical device identity, real-time data streaming that feeds live verified signals directly into AI inference pipelines, and multi-modal biological sensor support that uses the smartphone camera, microphone, and motion array as combined input channels.

The protocol is particularly suited to use cases where AI decisions carry real-world consequences and unverified inputs create unacceptable risk — fraud detection, identity liveness checks, decentralized clinical data collection, and autonomous systems that must distinguish synthetic from physical input.

Best for: Web3 developers, AI safety researchers, and enterprise teams building applications where data provenance and anti-spoofing guarantees are non-negotiable requirements.

Pricing: Pricing not published — contact sales.

Web3 developers and AI-safety teams use Visus to feed cryptographically verified, tamper-resistant physical-world data into AI inference and fraud-detection pipelines.