{
  "company": {
    "name": "hylosense",
    "website": "https://hylosense.com/",
    "record": "https://startuphistory.org/c/hylosense.com"
  },
  "status": null,
  "history_since": "2025-09-15T11:59:16.000Z",
  "baseline": {
    "snapshot_id": "b443ffea44a747e3100d39f59b667e42cbf5c17b02e71f36bcff884929a3cc48",
    "observed_at": "2025-09-15T11:59:16.000Z",
    "headline": "hylosense - a smarter approach to weather",
    "description": "Next-gen weather forecast models, delivering results with hyper-local precision more accurate than any global model.",
    "evidence": "https://web.archive.org/web/20250915115916/https://hylosense.com/",
    "evidence_kind": "internet_archive",
    "facts": null,
    "basis": "first_observation",
    "is_change": false
  },
  "live_captures": 1,
  "last_checked": "2026-11-06T17:20:10.302Z",
  "live_status": null,
  "messaging": [
    {
      "quote_observed_at": "2025-09-15T11:59:16.000Z",
      "variants": [
        {
          "headline": "hylosense - a smarter approach to weather",
          "subhead": "Next-gen weather forecast models, delivering results with hyper-local precision more accurate than any global model.",
          "observed_at": "2025-09-15T11:59:16.000Z",
          "evidence": "https://web.archive.org/web/20250915115916/https://hylosense.com/",
          "evidence_kind": "internet_archive"
        }
      ],
      "headline": "hylosense - a smarter approach to weather",
      "subhead": "Next-gen weather forecast models, delivering results with hyper-local precision more accurate than any global model.",
      "from": "2025-09-15T11:59:16.000Z",
      "to": "2025-09-15T11:59:16.000Z",
      "captures": 1,
      "evidence": "https://web.archive.org/web/20250915115916/https://hylosense.com/",
      "evidence_kind": "internet_archive",
      "seen": {
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      },
      "current": false
    },
    {
      "quote_observed_at": "2026-01-18T04:49:25.000Z",
      "variants": [
        {
          "headline": "The weather layer for energy forecasting",
          "subhead": "Hyper-local weather for energy assets. Predict output, reduce losses with site-specific forecasts trusted by global energy leaders.",
          "observed_at": "2026-01-18T04:49:25.000Z",
          "evidence": "https://web.archive.org/web/20260118044925/http://hylosense.com/",
          "evidence_kind": "internet_archive"
        }
      ],
      "headline": "The weather layer for energy forecasting",
      "subhead": "Hyper-local weather for energy assets. Predict output, reduce losses with site-specific forecasts trusted by global energy leaders.",
      "from": "2026-01-18T04:49:25.000Z",
      "to": "2026-01-18T04:49:25.000Z",
      "captures": 1,
      "evidence": "https://web.archive.org/web/20260118044925/http://hylosense.com/",
      "evidence_kind": "internet_archive",
      "seen": {
        "on": "2026-01-18T04:49:25.000Z"
      },
      "current": false
    },
    {
      "quote_observed_at": "2026-07-11T17:46:17.000Z",
      "variants": [
        {
          "headline": "Saving utilities millions in imbalance costs",
          "subhead": "Hyper-local weather for energy assets. Predict output, reduce losses with site-specific forecasts trusted by global energy leaders.",
          "observed_at": "2026-07-11T17:46:17.000Z",
          "evidence": "https://web.archive.org/web/20260711174617/http://hylosense.com/",
          "evidence_kind": "internet_archive"
        }
      ],
      "headline": "Saving utilities millions in imbalance costs",
      "subhead": "Hyper-local weather for energy assets. Predict output, reduce losses with site-specific forecasts trusted by global energy leaders.",
      "from": "2026-07-11T17:46:17.000Z",
      "to": "2026-07-11T17:46:17.000Z",
      "captures": 1,
      "evidence": "https://web.archive.org/web/20260711174617/http://hylosense.com/",
      "evidence_kind": "internet_archive",
      "seen": {
        "on": "2026-07-11T17:46:17.000Z"
      },
      "current": false
    },
    {
      "quote_observed_at": "2026-11-06T17:20:10.302Z",
      "variants": [
        {
          "headline": "Agentic, autonomous forecasting of every energy asset.",
          "subhead": "Agentic AI forecasting power & weather on each one of your assets, saving millions in imbalance costs and missed revenue.",
          "observed_at": "2026-11-06T17:20:10.302Z",
          "evidence": "https://hylosense.com/",
          "evidence_kind": "live_capture"
        }
      ],
      "headline": "Agentic, autonomous forecasting of every energy asset.",
      "subhead": "Agentic AI forecasting power & weather on each one of your assets, saving millions in imbalance costs and missed revenue.",
      "from": "2026-11-06T17:20:10.302Z",
      "to": "2026-11-06T17:20:10.302Z",
      "captures": 1,
      "evidence": "https://hylosense.com/",
      "evidence_kind": "live_capture",
      "seen": {
        "on": "2026-11-06T17:20:10.302Z"
      },
      "current": true
    }
  ],
  "changes": [
    {
      "n": 1,
      "id": "page-f12b9ef476fc383a2d506383ac45717abbff324d3df2e696cb10a9fcad7f2650:bb32ce242080d479ccf95fac36ce3b9bc2f071fdf0a30dcdc4d4df3ef2fa9b2e:customers_added:fe2115fc2fb8c64b",
      "before_evidence": "https://web.archive.org/web/20260118044925/http://hylosense.com/",
      "before_evidence_kind": "internet_archive",
      "kind": "customers_added",
      "label": "New customers",
      "summary": "Added customer logo to its homepage: Hong Kong Client.",
      "between": {
        "from": "2026-01-18T04:49:25.000Z",
        "to": "2026-07-11T17:46:17.000Z"
      },
      "evidence": "https://web.archive.org/web/20260711174617/http://hylosense.com/",
      "evidence_kind": "internet_archive",
      "basis": "page_facts",
      "topic": "https://startuphistory.org/t/added-customer-logos"
    },
    {
      "n": 2,
      "id": "page-f12b9ef476fc383a2d506383ac45717abbff324d3df2e696cb10a9fcad7f2650:bb32ce242080d479ccf95fac36ce3b9bc2f071fdf0a30dcdc4d4df3ef2fa9b2e:headline:1ab7a24e67a2a954",
      "before_evidence": "https://web.archive.org/web/20260118044925/http://hylosense.com/",
      "before_evidence_kind": "internet_archive",
      "kind": "headline",
      "label": "Headline",
      "summary": "Changed its homepage headline from “The weather layer for energy forecasting” to “Saving utilities millions in imbalance costs”.",
      "between": {
        "from": "2026-01-18T04:49:25.000Z",
        "to": "2026-07-11T17:46:17.000Z"
      },
      "evidence": "https://web.archive.org/web/20260711174617/http://hylosense.com/",
      "evidence_kind": "internet_archive",
      "basis": "page_facts",
      "topic": null
    },
    {
      "n": 3,
      "id": "page-bb32ce242080d479ccf95fac36ce3b9bc2f071fdf0a30dcdc4d4df3ef2fa9b2e:b636ccfd996d4a4633bc233cb4242cbbe067771177e93a8d0a0a94585cb04e6d:headline:dbed7f512d0e8e1f",
      "before_evidence": "https://web.archive.org/web/20260711174617/http://hylosense.com/",
      "before_evidence_kind": "internet_archive",
      "kind": "headline",
      "label": "Headline",
      "summary": "Changed its homepage headline from “Saving utilities millions in imbalance costs” to “Agentic, autonomous forecasting of every energy asset.”.",
      "between": {
        "from": "2026-07-11T17:46:17.000Z",
        "to": "2026-11-06T17:20:10.302Z"
      },
      "evidence": "https://hylosense.com/",
      "evidence_kind": "live_capture",
      "basis": "page_facts",
      "topic": null
    },
    {
      "n": 4,
      "id": "page-bb32ce242080d479ccf95fac36ce3b9bc2f071fdf0a30dcdc4d4df3ef2fa9b2e:b636ccfd996d4a4633bc233cb4242cbbe067771177e93a8d0a0a94585cb04e6d:investors:0f1f228dda1168ed",
      "before_evidence": "https://web.archive.org/web/20260711174617/http://hylosense.com/",
      "before_evidence_kind": "internet_archive",
      "kind": "investors",
      "label": "Investors",
      "summary": "Now shows investor logos: Techstars, South Central Ventures, Zephyr Angels, Accelerate and World Startup Association.",
      "between": {
        "from": "2026-07-11T17:46:17.000Z",
        "to": "2026-11-06T17:20:10.302Z"
      },
      "evidence": "https://hylosense.com/",
      "evidence_kind": "live_capture",
      "basis": "page_facts",
      "topic": "https://startuphistory.org/t/added-investor-logos"
    }
  ],
  "update": null,
  "method": {
    "version": "messaging-v1",
    "description": "https://startuphistory.org/method"
  },
  "license": "CC-BY-4.0",
  "cite": "StartupHistory, “hylosense” company record, https://startuphistory.org/c/hylosense.com"
}