{
  "name": "PurviewX Production Record",
  "description": "PurviewX's own engagements and internal ML models: what reached production, what we refused, and what we corrected. This is our own record, not an industry survey.",
  "methodology": "'In production' means processing real data in production use. 'Refused' means built, tested, and not shipped. 'Corrected' means we found and fixed a material error in our own output. The two de-listed security-assessment engagements are excluded.",
  "generated": "2026-07-20",
  "count": 10,
  "rows": [
    {
      "system": "Water-quality consumer product",
      "sector": "Energy",
      "outcome": "In production",
      "note": "Shipped after several earlier approaches failed. Publishes water-quality measurements against federal legal limits across roughly 300 Connecticut ZIP codes."
    },
    {
      "system": "Operations unification across five platforms",
      "sector": "Insurance",
      "outcome": "In production",
      "note": "Five disconnected systems reconciled into one operational picture; the engagement is ongoing."
    },
    {
      "system": "Property enrichment pipeline",
      "sector": "Distribution",
      "outcome": "In production",
      "note": "101,862 properties in scope, roughly 40% enriched. We found and reported our own dedup bug to the client rather than absorbing it quietly."
    },
    {
      "system": "Court intelligence pipeline",
      "sector": "Legal",
      "outcome": "Dormant",
      "note": "We found the original discovery loop spending money and writing zero rows, and rebuilt it on the county bulk feed. It works. It is also dormant: the wider lead pipeline it was meant to feed was never built out, and no lead from it was ever converted. A correct diagnosis is not the same thing as a business."
    },
    {
      "system": "Country-risk intelligence platform",
      "sector": "Enterprise security",
      "outcome": "In production",
      "note": "Country risk tied to enterprise exposure, built on official government advisory sources; ongoing."
    },
    {
      "system": "Daily customer-intelligence briefing suite",
      "sector": "Operations",
      "outcome": "In production",
      "note": "Automated daily briefings generated from unified operational data."
    },
    {
      "system": "Voice agent for live customer calls",
      "sector": "Operations",
      "outcome": "In production",
      "note": "Handles live inbound customer calls."
    },
    {
      "system": "Three predictive ML models",
      "sector": "Multiple",
      "outcome": "Refused",
      "note": "Built and tested. Accuracy collapsed once we removed leaked labels and circular targets, so we kept them shadow-only and shipped none of them."
    },
    {
      "system": "Edwin (AI memory system, our R&D)",
      "sector": "Own product",
      "outcome": "In production",
      "note": "Provisional patent filed. Two of 35 experiments disproved our own hypotheses, and the filing discloses them."
    },
    {
      "system": "Consumer marketplace directory",
      "sector": "Own product",
      "outcome": "Corrected",
      "note": "Added a confidence spine that grades every listing by its provenance and serves it by trust tier instead of hiding weaker rows. Established that 906 of 1,290 active listings were genuinely bookable, meaning a real future session and a real price."
    }
  ]
}