The proof
We show our work.
Most construction software sells you a promise. Here are the dated, measured results behind Kanopi, on real projects, including our own building.
Estimate accuracy
-7.1%
A bid that landed within margin of error.
We ran a real, completed spec home through Kanopi Estimate before we told anyone the engine existed. Against the actual built cost, the bid came in 7.1 percent under, inside the margin of error for a professional estimate.
Topline accuracy on a full project, not a cherry-picked line item. Line-level validation is in development.
Kanopi Design, on our own building
301 W Osborn. Drawn by AI, corrected by AI.
We are producing the full, permit-ready Revit model for our own adaptive-reuse project, a 1971 shell becoming 22 condominiums. The agent team built the structural model and, with no human in the loop, caught and fixed real dimensional errors.
The model
Seven levels, 13 grids, 30 columns, a 22-unit program. A full structural shell, built from the survey and the drawings.
Self-corrected: the bay
The agents caught a north-south bay that was off by 9.5 feet against the field measurement, and fixed it with no human flag.
Self-corrected: the setback
They caught the upper-floor setback the first pass got wrong, and re-cut the floors to the correct envelope.
Projected savings versus commissioning an outside architect for the set: about $250,000. A licensed architect reviews and stamps the final documents.
One model
The design feeds the bid.
Because Kanopi designs and prices from the same model, the Revit geometry flows straight into the estimate, BIM-direct. No re-drawing, no second takeoff, no gap between the plans and the price. It is the same loop, start to finish.
Who built this
Built by an operator who builds.
Kanopi was not built by a software company guessing at construction. It was built by an operator running real projects, used on his own buildings first, and only then offered to others. The proof on this page is the same work we do for clients.