Start your buildings at the right time. Not too early, not too late.

Every day, your HVAC equipment restarts at fixed times. With no regard for weather, building inertia, or actual occupancy. Result: overconsumption and discomfort.

at the right time.
A schedule often poorly tuned, rarely questioned

The issue

A schedule often poorly tuned, rarely questioned

  • settings rarely adjusted
  • no consideration for weather, sunlight, or thermal inertia
  • no zone-by-zone adjustments

Result:

  • heating or cooling started too early
  • equipment running unnecessarily
  • discomfort at the start of occupancy

Optimal start is one of the easiest things to optimize… yet one of the least exploited.

Optimal start controllers: 25 years without real evolution

  • start-up per building, not per zone
  • controls that correct… but don't anticipate
  • results that are unstable as soon as weather changes

Result: partial optimization — savings left on the table. The real challenge is simple: start zone by zone But between limited FM time and BMS constraints, it's rarely feasible in practice.

Legacy optimal start controllers
Adjust start times every day, zone by zone, with AI

Our approach

Adjust start times every day, zone by zone, with AI

Thermal behavior analysis

  • building thermal inertia
  • heat-up time

Context awareness

  • weather (temperature, sunlight)
  • building occupancy
  • operating history

Dynamic start time calculation

Every day, the start time is automatically adjusted. Not too early, wasting energy. Not too late, ruining comfort.

What changes

Finer control, lower consumption

  • reduce unnecessary run times
  • avoid overheating or overcooling
  • reduce comfort complaints
  • reduce the need for FM adjustments

A simple, fast win — no construction needed.

Cookies

We use cookies to keep foobot.io reliable

Choose how we can measure traffic and improve performance. Analytics cookies stay off until you accept.

Read our cookie policy