Intelli-BuildAI by OAIRO

Commercial Building Energy Optimisation, Grounded in Building Physics

Identify, quantify and rank energy optimisation measures across HVAC, controls, lighting, fabric and plant — using physics-based load calculations rather than generic percentage assumptions.

The challenge

Most optimisation recommendations are rules of thumb: 'BMS tuning saves 10%', 'LED saves 60% of lighting'. Applied blindly, they overstate savings, understate interactions between measures, and collapse under lender or board scrutiny. Owners need measure-level numbers they can defend.

How Intelli-BuildAI helps

Intelli-BuildAI models each building's heating, cooling and ventilation loads from first principles — envelope, gains, climate and operation — then evaluates optimisation measures against that specific building. Measure interactions are handled in sequence, savings carry confidence levels, and every figure links to the assumptions used to produce it.

  • Physics-based heating, cooling and ventilation load model
  • Measure library spanning HVAC, controls, fabric and renewables
  • Interaction-aware savings stacking, not naive addition
  • Capex, payback and carbon impact per measure
  • Confidence level and assumptions shown per result
  • Optimised packages by budget, ROI or carbon priority

Referenced against recognised standards & frameworks

CIBSE TM54CIBSE Guide AASHRAE FundamentalsCRREMIPMVP

Frequently asked questions

How are savings estimates validated?

Each measure's saving is derived from the building-specific load model and flagged with a confidence level based on input quality. Post-installation, IPMVP-aligned measurement plans verify delivered savings against the modelled baseline, and performance drift detection raises a signal when metered or BMS telemetry deviates beyond tolerance.

Does it account for measure interactions?

Yes. Measures are evaluated in sequence against the evolving building model — for example, fabric improvements reduce the saving available to subsequent plant upgrades — avoiding the double-counting common in spreadsheet approaches.

Which standards do the load calculations follow?

CIBSE Guide A and TM54, the ASHRAE Handbook of Fundamentals and regional codes, with the applicable standard resolved from the building's location. Climate is modelled from Typical Meteorological Year data, and every result records the standard, clause and dataset that produced it.

Can it specify the actual replacement equipment?

Yes. Calculated loads drive selection from a catalogue of real manufacturer products — heat pumps, chillers, air handling units, VRF and terminal units — returning sizing, efficiency ratings, embodied carbon and indicative pricing rather than a generic 'upgrade plant' line.

Can consultants use it for client work?

Yes. MEP consultants use the platform for load assumptions, retrofit options analysis and technical evidence packs, with exportable calculations referenced against CIBSE and ASHRAE methods and reports issued under the consultancy's own brand.

How do I trust a number enough to put it to a board?

Every project has a Trust Centre: a confidence score, the standards behind each result, an assumptions register and an evidence register linking figures to source documents — and the engines themselves run against a published validation register of test cases.

Start with one building.

Upload one utility bill, EPC or BMS export and receive a structured opportunity scan.

Back to Intelli-BuildAI

© Intelli-BuildAI by OAIRO. Assessment outputs are indicative and subject to data quality.