Machine learning systems for construction

The problem

Construction runs on information nobody has time to read twice: contract sets, specifications, drawing revisions, correspondence, site records. The fact that decides a claim or a cost overrun is usually already in the file. It is just not in front of anyone when it matters.

Off-the-shelf AI helps at the edges. It does not know which clause governs your variations, which revision is current, or that a notice falls due on Friday. An answer that cannot be traced to its source is not one you can certify or defend.

Capabilities

Document intelligence. Every contract, specification, drawing and letter on a project, made instantly searchable and answerable, with each answer cited to the clause, page and revision it came from.

Computational drafting and quantities. Drawings read, measured and quantified by machine, and new drawings generated from structured inputs, at a speed and consistency no drafting team matches.

Autonomous monitoring. Intelligent agents that watch correspondence, the document register and the programme around the clock, surface what is due and what has changed, and prepare the response for sign-off.

Live project intelligence. A single, real-time view of programme, cost, documents and risk across every project, built for the people who carry the decision.

Built for this industry

These are not generic products repackaged for construction. Each system is designed around a specific workflow, by someone who has run that workflow from both sides of the contract, and is held to the standard the rest of the practice is held to: every output traceable, every decision owned by a person.

Your information stays private and stays yours.

What you get

• Document intelligence across contracts, specifications, drawings and correspondence
• Computational drafting, takeoff and quantities
• Autonomous monitoring of correspondence, registers and programme
• Live project and portfolio intelligence dashboards
• Integration with your existing files, email and project systems
• Training and handover, so the capability is owned by your team

Call when

• Your team spends more time finding information than using it.
• You are being sold an AI platform and want to know what a system built around your own process would do instead.
• Deadlines and notices depend on someone remembering to check.