Automated project cost estimation
Predict construction project costs using project characteristics and historical data.
-20%
quote error reduction
The problem
No reliable steering on automated project cost estimation.
The current process is manual or inconsistent.
Decisions come too late due to weak signals.
Cost/schedule drift is hard to detect early.
Prerequisites: required data & tools
Required data
- Projets (devis, réalisé) history
- plans
- métrés
Compatible tools
- Custom ML
- BIM + plugins analytics
Not sure you have the data? Our Maturity Auditor can assess your situation in two weeks.
Explore the Maturity Auditor →What we implement in 6-12 months
In 6-12 months: Predict construction project costs using project characteristics and historical data. with measured impact on quote error reduction.
Weeks 1-2
Diagnosis
Weeks 3-6
Build
Week 7+
Delivery
Concrete deliverables
Business framing and decision rules for automated project cost estimation
Operational engine for automated project cost estimation
Steering dashboard with alerts
Action playbook and governance
Expert insight
15–25% improvement in quote accuracy. Requires structured project history.
— Datasive, expertise terrain
Tech maturity
High
Mature solutions, fast deployment
Medium
Maturing tech, requires customization
Emerging
Cutting-edge innovation, R&D approach
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Maturity Auditor
Scorecard + roadmap 90 jours pour cadrer la transformation data/AI.
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Ready to solve this problem?
First step: a 30-minute call to understand your context.