AI optimal start for HVAC

Start every system at the best time.

Your time schedules are set “for the coldest day of the year”. Foobot learns the inertia of each zone in the building: start times are written 5 days ahead, zone by zone, then adjusted every day with the weather — comfort reached right at opening, without the wasted pre-heating hours.

−18%
less HVAC consumption
2 h 20
of pre-heating avoided / day
0
work on your BMS
Optimised start — this morning
−2 h 20
21 °C · comfortStart 06:2004:0006:0008:00 ↦ opening
Fixed schedule
AI optimal start
Deployed across all types of commercial buildings
Offices
Public sector
Healthcare
Education
Retail
Logistics
The cost of a fixed schedule

A fixed time schedule costs you three times over.

Most BMSs start HVAC on a fixed schedule, set to the worst winter case years ago. The first signal isn't the energy bill: it's comfort complaints and the hours spent retouching schedules.

Comfort complaints. A worst-case schedule overheats the easy zones and leaves the exposed ones behind. Complaints don't come from a bad setting: they come from a single setting applied to zones that are nothing alike.
Wasted energy. Comfort reached too early, then held needlessly until opening — and in mid-season the ideal start time changes every day; a fixed schedule never does.
Operations time. Every complaint and every season change turns into time-consuming manual tuning. Time that isn't spent elsewhere.
Operator at a whiteboard: fixed schedule starting at 04:00, comfort reached at 05:40, 2 h 20 of unnecessary heating before arrival at 08:00
Optimal start is 25 years old — today we go further

A building doesn't have one inertia, it has hundreds.

01

Every zone is a special case.

Orientation, glazing, ceiling height, occupancy, internal gains: two zones on the same floor don't warm up at the same speed. A building-level start applies the coldest zone's setting everywhere: many zones start too early.

02

Manual tuning doesn't scale.

An operator can fine-tune three zones. They can't tune two hundred. That's the point of automatic computation: not that it tunes better, but that it tunes everywhere, every day, following the weather — something no team can sustain manually.

03

Optimal start reaches back to production.

A fine zone-level start is useless if the water loop and air handling units have been running since 4 am. We also compute the start time of the equipment feeding those zones, from the start times of the zones they serve. Nothing keeps running for a building that's still empty.

How it works

Three steps to start at the best time

01

Connect the BMS

Secure connection to a few points of your existing BMS. No hardware to change, no operational downtime.

02

Learn thermal dynamics

The AI models the thermal inertia of each zone from your histories, the weather and occupancy schedules.

03

Write the schedule 5 days ahead

Foobot writes into the BMS the start times for the five days ahead, zone by zone, and for the corresponding production equipment.

Results in the field

Savings from the very first week.

Commercial portfolio · 33,000 m²
Commercial portfolio · 33,000 m²

“Simply by shifting the start time, we cut nearly two hours of heating every morning — without anyone noticing on the comfort side.”

Head of decarbonization
Major industrial group · testimonial anonymized at their request
HVAC consumption
−18%
vs. fixed schedule
Pre-heating avoided
2 h 20/ day
less runtime on average, comfort unchanged
Coverage
247zones
individually controlled
The right starting point

Why begin with optimal start?

It's the fastest and lowest-risk HVAC optimisation gain: a few BMS points are enough, comfort stays guaranteed, and you measure the savings within the first days.

Fast to deploy

Operational in a few days, with no work and no operational interruption.

Improves comfort

No more slow zones taking hours to warm up on Monday morning, thanks to a zone-specific start.

Immediate gain

Runtime hours avoided, measurable from the very first week.

A stepping stone to full control

Optimal start is the first building block. Move on to continuous AI HVAC control next.

Free · no commitment · no on-site intervention

Send us your temperature histories.

You send us
Your zones' temperature history, exactly as your BMS already records it.
We send back
A quantified report of avoidable runtime hours, zone by zone, with a savings estimate.