FM contract pricing

FM contract pricing built on evidence, not guidelines

Most facilities contracts are priced from assumptions and generic industry guidelines rather than from the building being priced. ML10 prices them from what is actually on site — scans, drone surveys and live asset data — and returns auditable pricing you can defend line by line. Conventional methods carry up to 25% pricing inaccuracy; the ML10 process reaches 98% accuracy at around 10% of the effort, and cuts pricing time by 85%.

In beta. Full platform launch late October 2026.

85%

Pricing time saved, across 40 completed beta trials

98%

Accuracy of the ML10 AI process

Months → minutes

Time to produce a priced contract

Why facilities contracts are mispriced so often

Most FM contracts are built on assumptions and generic industry guidelines rather than on evidence from the site itself. A rate card gets applied to a floor area, an allowance gets added for the things nobody measured, and the result is a price that describes an average building rather than this one.

Conventional pricing methods carry up to 25% inaccuracy. On a multi-year contract that is the difference between a healthy margin and a loss — and it cuts both ways, because the same guesswork prices some contracts out of contention entirely.

What ML10 prices from instead

  • Site recordings captured on an iPhone Pro with LiDAR.
  • Drone surveys where the site or the roof cannot practically be walked.
  • Live asset data from the register, rather than a headcount and a floor plan.
  • The same underlying capture that produces the asset inventory, so the pricing and the register never contradict each other.

From months to minutes

Pricing a large FM contract conventionally is a quarter of work: surveys, spreadsheets, review cycles and a final number nobody can fully trace. ML10 compresses that to an afternoon, and the output arrives with the evidence attached.

That 85% time saving is measured across 40 completed beta trials against current FM services guideline pricing methods, in which manual preparation took three to ten times longer. The point is not only speed — it is that a decision made in minutes can be revisited when the site changes, and a decision that took months usually cannot.

What you can hand to a bid team or a client

The output is audit-ready: specifications, defensible pricing and a maintenance plan, each traceable back to the captured asset data. When a client asks why a line costs what it costs, there is an answer that does not begin with the word 'typically'.

Common questions

FM contract pricing, answered

How accurate is ML10 pricing compared with conventional methods?
Conventional FM pricing methods carry up to 25% inaccuracy. The ML10 AI process reaches 98% accuracy, using roughly 10% of the effort.
Which FM services can ML10 price?
Cleaning, HVAC, M&E, dilapidations, PPM scheduling and asset management, with digital twins and drone surveys used as inputs where the site calls for it. Workspace utilisation is in development.
Is the pricing auditable?
Yes — that is the point of pricing from captured site data rather than from guidelines. Every figure traces back to the assets the scan recorded.
How long does pricing a contract take?
Minutes of processing rather than months of survey and spreadsheet work. Measured across 40 completed beta trials, manual preparation took three to ten times longer — an 85% time saving against current FM services guideline pricing methods.

Get Started

Ready to transform your FM contracts?

See ML10 Tech in action. A 30-minute demo on your portfolio — and we'll show you the savings.