Lennox was granted a patent for machine-learning thermostat scheduling.

{
  "signal_id": "75d48961-2c2f-5a7d-a0d2-7996e0955c88",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-20T17:48:46+00:00",
  "company": {
    "name": "Lennox",
    "domain": "lennox.com"
  },
  "data": {
    "cpc": [
      {
        "code": "F24F 11/46"
      },
      {
        "code": "F24F 11/64"
      },
      {
        "code": "F24F 11/65"
      },
      {
        "code": "G05B 13/0265"
      },
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      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Machine Learning",
      "Energy / Power",
      "Automation"
    ],
    "detail": "In September 2026 Lennox patented occupancy-aware HVAC scheduling designed to reduce energy use in homes and buildings.",
    "summary": "Lennox was granted a patent for machine-learning thermostat scheduling.",
    "event_at": "2026-09-15",
    "inventors": [
      {
        "name": "Sridhar Venkatesh",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/srivenkatesh"
      },
      {
        "name": "Payam Delgoshaei",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Janathkumar Manohararaj",
        "status": "unresolved",
        "is_primary": false
      }
    ],
    "event_kind": "grant_date",
    "grant_date": "2026-09-15",
    "source_url": "https://patents.google.com/patent/US12736242",
    "cpc_primary": {
      "code": "F24F 11/46"
    },
    "patent_title": "Predictive temperature scheduling for a thermostat using machine learning",
    "patent_number": "US12736242",
    "uspto_assignee": "Lennox Industries Inc.",
    "patent_abstract": "A heating, ventilation, and air conditioning (HVAC) control device configured to receive a user input for controlling an HVAC system, to determine whether the user input indicates an energy saving occupancy setting, and to identify a first plurality of time entries that are associated with a confidence level for a predicted occupancy status that is less than a predetermined threshold value in the predicted occupancy schedule. The device is further configured to modify the predicted occupancy schedule by setting the first plurality of time entries to an away status when the user input indicates an aggressive energy saving occupancy setting. The device is further configured to modify the predicted occupancy schedule by setting the second plurality of time entries to a present status when the user input indicates a conservative energy saving occupancy setting. The device is further configured to output the modified predicted occupancy schedule.",
    "precision_class": "structural",
    "invention_explanation": "A thermostat that uses occupancy predictions and confidence levels to adjust its schedule when the expected presence pattern is uncertain.",
    "technologies_mentioned": [
      "smart thermostats",
      "machine learning",
      "HVAC controls",
      "occupancy prediction"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/75d48961-2c2f-5a7d-a0d2-7996e0955c88 \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"lennox.com","limit":20}'