A connected dataset for accessibility discovery and intelligence

The Knowledge Graph

Information that is often disconnected, brought together

Eyecosystems connects a novel dataset from accessibility community information that is often untapped, unrefined, and disconnected across resources, services, programs, events, research, apps, and media. The initial focus is blind and low-vision community information in Jacksonville, with human-in-the-loop verification and provenance.

Connected records can help citizens, patients, and students discover relevant resources. They can also help internal teams understand how services and organizations relate across a market, and give AI systems structured information to work with. The data is designed to complement existing products, portals, directories, and workflows.

// Illustrative accessibility community record
{
  "eyeco_id": "jax-0042",
  "name": "Jacksonville Community Resource",
  "type": "community_resource",
  "verification_method": "human_review",
  "provenance_id": "sample-0001",
  "provenance_record": "source and review details",
  "city": "Jacksonville",
  "state": "FL",
  "verified_at": "2026-04-08",
  "tags": ["community", "support", "resource"]
}

Delivery & Integration

Delivery & Integration

Use API or MCP delivery to connect Eyecosystems data with your products and workflows. The proprietary CLEAR Methodology organizes curation, linking, enrichment, review, and release, with provenance describing how records were handled.