Put your experience
into every estimate.

Your historical data is your pricing edge. AI-powered estimation turns past performance, market conditions, and project specifics into estimates that win work and protect margins.

Estimates that learn from every job you’ve closed

Most estimating teams rely on a handful of experienced people carrying pricing intuition in their heads. When they’re busy — or when they leave — accuracy walks out the door with them. Our AI-powered estimation platform captures that intuition in your data instead. It ingests your completed projects, actual costs, change orders, and win/loss history, then learns the cost drivers that actually move your numbers: labor productivity by trade, material waste, seasonal price swings, and the specific project characteristics that historically blew budgets.

The result is an estimate grounded in what your business has really experienced, not a spreadsheet template someone last updated two years ago. For every bid, the system flags where similar past projects drifted from their estimates and recommends contingencies sized to real risk — so you stop padding blindly and stop getting burned by the same surprises twice.

From weeks of takeoffs to same-day bids

Speed is the other half of the equation. When a detailed estimate takes days to assemble, you self-select out of most opportunities and only chase the jobs you’re confident about. By generating first-pass estimates in hours, our platform lets you bid on far more work without adding headcount — and factor in current material costs and labor rates automatically so your pricing stays competitive without eroding margin.

Estimation is a decision that carries real financial risk, so nothing ships without your review. The AI does the heavy lifting — the takeoff, the historical comparison, the risk assessment — and your estimators keep final say on the numbers that go out the door. It plugs into the tools you already use for takeoffs, accounting, and project management, so the workflow fits your team rather than forcing your team to fit the software.