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BrainBox AI

AI platform that autonomously optimizes HVAC systems in commercial buildings using deep learning, cutting energy costs up to 25% and carbon emissions up to 40%.

Last reviewed 6/2/26

Category: Maintenance & Operations Smart Building
Tags: hvac-optimizationenergy-managementdeep-learningautonomous-aicarbon-reduction
AI

How BrainBox AI uses AI[1][2][3]

Autonomous AI optimizes commercial HVAC: deep learning neural networks forecast each zone's indoor temperature several hours ahead, then reinforcement learning sends live setpoint commands to the equipment without human input.

  • Forecasts indoor temperature per zone up to 6 hours ahead using LSTM and physics-informed neural networks
  • Reinforcement learning tunes HVAC setpoints against weather, occupancy, tariffs, and emissions
  • Sends autonomous equipment commands 24/7, with no added hardware beyond a cloud connection
  • BrainBox AI reports 96% prediction accuracy per zone and over 100,000 predictions per day

AI type: Deep Learning, Reinforcement Learning, Autonomous AI

Founded

2017

Headquarters

Montreal, QC

Stage

Acquired

Employees

201-500