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sense.com·Tracked since May 27, 2026

Sense

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Mentions

1

Across all reports

Quality Score

45/ 100

Emerging player

First Seen

May 27, 2026

Indexed in atlas

Last Seen

3h ago

Most recent reference

Positioning

Synthesized from 1 mention

Sense uses machine learning to disaggregate total home energy usage into individual appliance signatures, eliminating the need for per-circuit sensors. It costs $299 for the hardware plus a $49/year subscription for historical data. Its strength is no sub-panel installation, but accuracy varies and it cannot do per-room billing.

Strengths

3 cited
  • No sub-panel installation
  • AI appliance detection
  • Strong brand and app

Weaknesses

3 cited
  • Expensive for PG market
  • No per-room billing
  • Cloud-dependent

Recent mentions

Showing 1 of 1
  • direct
    3h ago

    ESP32-Based Smart Energy Monitor for PG Hostels and Small Businesses

    esp32basedsmartenergymonitorhostels

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