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CostOS

Construction estimating software with AI quantity takeoff, benchmarking database, and parametric cost modeling.

Listed Needs re-verification
Construction Management $$ Small business Mid-market Enterprise Construction

What it does

CostOS (by Nomitech) is a construction cost estimating platform used by civil engineers, quantity surveyors, and construction estimators for infrastructure projects - covering quantity takeoff from 2D drawings and BIM models, unit rate databases, parametric cost modeling, and benchmark cost analytics. AI capabilities include AI-assisted quantity takeoff that identifies and measures elements from drawing sets, intelligent unit rate suggestions based on project type, location, and historical data from the CostOS database, parametric estimating that generates preliminary cost estimates from high-level project parameters before detailed design is available, and benchmark analytics that compare project costs against similar historical projects. CostOS is widely used for infrastructure, civil, and public sector construction estimating.

Strengths

  • Mid-market construction companies and infrastructure consultancies use CostOS for systematic project cost management - parametric estimating for early-stage projects and detailed takeoff for final estimates with benchmark analytics validating accuracy.
  • Large engineering consultancies and public sector infrastructure agencies use CostOS for enterprise estimating - benchmark analytics across historical project portfolios informing cost planning and AI-assisted takeoff scaling estimating capacity.
  • Small civil engineering firms and quantity surveying practices use CostOS for professional infrastructure cost estimating - AI-assisted takeoff and rate databases producing accurate estimates faster than manual methods.

Watch-outs

  • Infrastructure and civil engineering focus: CostOS is optimized for civil, infrastructure, and public sector estimating — residential and commercial building estimators find tools like Buildxact or ProEst better suited to their project types.
  • Learning curve for parametric modeling: CostOS's parametric estimating capabilities are powerful but require investment in learning the modeling approach — estimators accustomed to traditional takeoff methods face a methodology change alongside software adoption.
  • Unit rate database requires localization: CostOS's benchmark rate database is most useful when populated with local and project-specific historical rates — organizations starting with the database from scratch see less AI suggestion accuracy until sufficient data is built up.

Pricing

CostOS pricing based on number of users and deployment type. Not published. SMB configurations from approximately $200 to $500/user/month. Enterprise pricing negotiated. Annual contracts.