The Problem

Centralized Vision AI Is Bottlenecked

• Access Gated by Big Tech: Vision AI models are often siloed in corporate labs (e.g., Tesla, OpenAI, Google), making them inaccessible to developers, researchers, and startups.

• Compute and Data Are Centralized: Collecting quality vision data and GPU compute is cost-prohibitive for most companies.

• Lack of Real-Time Coordination: Current blockchains and centralized clouds can’t coordinate high-frequency vision tasks at scale.

• Opaque Model Decisions: High-profile failures in centralized systems (e.g., Tesla's autopilot vision misclassifications) reveal the dangers of closed black-box models.

• Regulatory Headwinds: Governments are exerting pressure on centralized AI deployments, including the EU AI Act and proposals related to surveillance ethics.

OpenVision solves these with decentralized infrastructure, open training protocols, and a sovereign blockchain built for real-time AI execution.