Inaccurate estimates are the root cause of cost overruns and missed deadlines. Our estimating practice combines proven methodologies, historical data, and expert judgment to produce estimates that hold.
Unrealistic estimates destroy trust — and projects. Our estimating practice uses industry-proven techniques to build credible, defensible cost and effort estimates that hold up under scrutiny.
We integrate analogous, parametric, and bottom-up methodologies with appropriate contingency reserves, giving organizations the confidence to commit to scope without fear of surprise overruns.
Calibrated estimates based on historical benchmark data from 500+ projects across IT, ERP, construction, and infrastructure sectors.
Using historical data from comparable projects to produce rapid, top-down estimates for feasibility and planning.
Statistical relationships between project parameters and costs — delivering precision-calibrated estimates at scale.
Activity-level work packages rolled up for the most accurate picture of true project cost and effort.
Risk-adjusted contingency using expected monetary value and Monte Carlo simulation techniques.
Leveraging historical project data from our portfolio of 500+ engagements to anchor estimates in real-world experience.
Statistical models calibrated to your technology and industry to generate defensible estimates with explicit assumptions.
Detailed decomposition of work packages with expert sizing — the most accurate approach for well-defined scope.
PERT analysis using optimistic, most likely, and pessimistic scenarios to quantify estimate uncertainty and contingency needs.
Monte Carlo simulation applied to estimate uncertainty, producing probability-based ranges and confidence intervals.
Independent peer reviews and benchmarking against industry databases to validate estimate reasonableness before commitment.