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Darwin

BIM-native cost estimation platform with reusable cost modules

Cloud-based construction cost estimation platform that transforms IFC BIM models into accurate budgets through automated quantity extraction and reusable "Cost DNA" modules. Enables collaborative estimation workflows with role-based permissions, audit trails, and centralized project documentation.

Pricing
free tier, contact the vendor
Alternatives
aurivus, SWAPP AI, FlowForma Process Automation
Who it's for
Construction, Cost Estimation, Architecture
Not publicly specified raisedBeta
Founded Not publicly specified · Early adopter/beta phase (customer list not publicly disclosed)
Website → ← All Tools
WHY IT EXISTS

Why This Tool Exists

The Problem

Construction cost estimation is manual and fragmented—teams spend 5-10 hours per estimate reviewing drawings and manually entering quantities. Estimation logic is fragmented across spreadsheets and team members, causing institutional knowledge loss when estimators leave, inconsistent cost assumptions across projects, and no traceability of decision-making behind estimates.

The Solution

IFC-native SaaS platform that automatically extracts quantities from BIM models and maps them to reusable "Cost DNA" modules (authored cost logic capturing materials, labor, overhead, and reasoning). Eliminates manual quantity entry, enables collaborative estimation with version control and audit trails, and preserves institutional cost knowledge in structured format. Updates to cost assumptions automatically propagate across all projects.

USAGE

How You Use It

Delivery Method
SaaSWeb-based Application
Integrations
IFCBIM Models
Disciplines
Construction, Architecture
Workflows
Data & Automation
Project Phases
Bidding/Procurement, Construction Documentation, Design Development
Project Types
Commercial, Infrastructure, Residential, Mixed-Use
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:IFC BIM model files, Project scope/elements to estimate
Optional:Cost assumptions from previous projects, Labor rates, Material price data, Project contracts and specifications
Formats:IFC 2x3, IFC4, IFC4.3
Output
What you get
Format:Construction cost estimates with detailed cost module breakdown
Fields:Extracted quantities from BIM elements, Cost DNA module assignments, Total project cost estimate, Cost breakdown by phase/discipline, Change tracking and revision history, Collaboration notes and approvals, Centralized project cost hub (estimates, contracts, drawings)
Algorithm
How it works
Model:Not ML-driven; uses structured rules mapping approach
Accuracy:Not publicly specified; claims "accurate" estimates when combined with human estimator judgment
Privacy
How your data is protected
Retention:Project data retained in user account (specific retention policy not publicly specified)
Training:Not publicly specified
Compliance:Not publicly specified (no SOC 2, ISO 27001, or other compliance certs mentioned)
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented
USE CASES

Use Cases

  • ·Automated quantity extraction from IFC BIM models for cost estimation
  • ·Reusable cost modules across multiple projects to maintain consistency
  • ·Collaborative cost estimation with team approvals and change tracking
  • ·Preservation of institutional cost knowledge through Cost DNA framework
  • ·Integration of cost data with project contracts and specifications
  • ·Centralized cost hub for estimates, quotes, contracts, and drawings
PRICING

Pricing

Free
Not specified
Pro
Contact for pricing
Enterprise
Contact for pricing
Sources & Research NotesResearch date: 2026-04-04
Data Sources (5)
Fields Checked (15)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, maturityStage, vendor-location, website, input-formats, output-fields, algorithm-approach, control-features, useCases
Not Found (12)
yearFounded, fundingTotal, customerBase-actual-count, pricing-public-rates, api-documentation, privacy-policy, compliance-certifications, accuracy-metrics, data-retention-policy, case-studies, algorithm-accuracy-percentage, data-location-specific
About this research: This record summarizes the cited sources and fields checked. A research date does not establish hands-on testing. Consult the original sources for current details and limitations.
ALTERNATIVES

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