{
  "api": "assay-systems/v1",
  "key_tier": "none",
  "retrieved": "2026-10-16T00:11:29Z",
  "source": "Assay Systems register, https://assay-systems.com/register/",
  "access_notice": "On 15 November 2026, automated access to assay-systems.com closes. After that date, access is available only under a paid annual subscription contract. Contact: contact@assay-systems.com",
  "data": {
    "id": "ASY-CA-11LFP1C0YI",
    "type": "grant",
    "country": "ca",
    "name": "Edge Signal Corporation: federal grants and contributions",
    "url": "https://assay-systems.com/register/ca/grants/r/edge-signal-corporation/",
    "summary": "4 federal grant and contribution agreements worth $1.8M with Edge Signal Corporation, 2024–2026.",
    "figures": [
      {
        "label": "agreements",
        "value": 4,
        "unit": "count"
      },
      {
        "label": "value",
        "value": 1800000,
        "unit": "money",
        "currency": "CAD",
        "approximate": true,
        "display": "$1.8M"
      },
      {
        "label": "departments",
        "value": 1,
        "unit": "count"
      },
      {
        "label": "programs",
        "value": 3,
        "unit": "count"
      }
    ],
    "text": [
      "This project advances multi-modal intelligence designed to support security-sensitive environments such as border operations, government facilities and defense monitoring. The platform is built as a trusted, locally deployed system suitable for public-sector as well as commercial applications requiring advanced situational understanding.",
      "This project aims to enhance an existing Edge Signal vision AI based edge computing platform by integrating Large Language Model functionalities to enable advanced, detailed vision analysis, which can be used for perimeter security, audits, compliance and customer satisfaction like use cases. The platform will feature a multi-agent architecture, prioritizing customer privacy and multi-tenancy while leveraging an LLM agent for contextual, explainable, and accurate insights. Robust LLM RAG infrastructure will manage data preparation, enrichment, and ETL processes. With advanced prompt engineerin",
      "Develop a platform to enable AI powered edge solutions with computer vision use cases from development to production at the edge.",
      "This exploratory project focuses on leveraging large language models (LLMs) to enhance productivity and awareness in edge locations, such as border security, warehouses, and retail. The Firm will investigate methods to derive insights from large datasets while ensuring security and privacy. The project will explore the potential of LLMs for vision analysis, testing their capabilities to interpret images, videos, and scenes. Use cases under consideration include border control, health and safety in warehouses, and shop analytics in retail. Market research and customer discussions will guide the"
    ],
    "records": [
      {
        "name": "grants and contributions register",
        "url": "https://assay-systems.com/register/ca/grants/"
      },
      {
        "name": "Humber River–Black Creek",
        "url": "https://assay-systems.com/register/ca/grants/riding/35041-humber-river-black-creek/"
      },
      {
        "name": "National Research Council Canada",
        "url": "https://assay-systems.com/register/ca/grants/department/national-research-council-canada/"
      }
    ],
    "assay_record": "ASY-CA-11LFP1C0YI",
    "cite_as": "Assay Systems, \"Edge Signal Corporation: federal grants and contributions\", https://assay-systems.com/register/ca/grants/r/edge-signal-corporation/"
  }
}