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C.Scale

Whole-life carbon assessment tool for building design and construction

SaaS platform enabling architecture and construction teams to measure, analyze, and reduce embodied, operational, and landscape carbon emissions from early design through construction delivery.

Not publicly specified raisedEarly Stage
Founded 2024 · Not publicly disclosed for C.Scale; inherited 5,000+ users from predecessor EPIC tool
Website →← All Tools

Why This Tool Exists

The Problem

Architecture and construction teams lack accessible tools to assess whole-life carbon impact during early design phases when decisions have the greatest influence on project emissions. Manual carbon calculations are time-consuming, rely on incomplete data, and don't help teams identify the highest-impact reduction strategies when design flexibility is greatest.

The Solution

C.Scale uses machine learning and regionally-specific carbon databases to deliver rapid carbon assessments from concept through construction. Teams input basic project parameters (type, size, structural system, location) and receive embodied, operational, and landscape carbon budgets with ranked reduction strategies. Modeling resolution increases as design details emerge, allowing teams to refine carbon decisions and track impact throughout the project lifecycle.

How You Use It

Delivery Method
SaaSAPI
Integrations
AIA 2030 DDx platformAPI (RESTful)
Project Phases
Pre-Design, Schematic Design, Design Development, Construction Documentation
Project Types
Commercial, Residential, Mixed-Use, Institutional, Infrastructure

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Project type, Approximate project size, Structural system, Geographic location
Optional:Detailed assembly specifications, Environmental Product Declaration (EPD) data, Energy consumption parameters, Project schedule
Formats:Web form input, JSON via API
Output
What you get
Format:Whole-life carbon assessment reports with reduction strategies
Fields:Embodied carbon estimates, Operational carbon projections, Landscape carbon impact, Total whole-life carbon budget, Ranked carbon reduction measures, Material quantities and selections, Time-series emissions data, Compliance reporting for LEED and regulations
Algorithm
How it works
Model:Proprietary machine learning models trained on real building data, with regionally-specific background carbon databases
Accuracy:Not publicly specified; documentation states tool "is not a fortune teller" and acknowledges uncertainty in future projections
Privacy
How your data is protected
Retention:Project data stored in user account; user control over data deletion. Specific retention policy not publicly specified.
Training:Not publicly specified whether production data is used for model training
Compliance:Not publicly specified
API
Integration
Endpoint:https://api.cscale.io/ (RESTful API with JSON requests/responses)
Method:RESTful HTTP

Use Cases

  • ·Early-design carbon budgeting: 10-minute whole-life carbon assessment from concept sketches to inform design direction
  • ·Design alternative evaluation: Compare embodied and operational carbon impact of different structural systems or material choices
  • ·Carbon reduction strategy prioritization: Identify highest-impact, most cost-effective emissions reductions when design flexibility remains
  • ·LEED and regulatory compliance: Generate carbon reports for LEED credit documentation and regional carbon regulations
  • ·Portfolio benchmarking: Track carbon performance across organizational project portfolio to establish baselines and track improvement
  • ·Specification refinement: Select low-carbon products with EPD data during design development to lock in emissions reductions
  • ·Embodied carbon reduction targeting: Achieve documented embodied carbon reductions (up to 46% possible) at <1% cost premium

Pricing

Free
Starter account with up to 3 projects (unlimited for individual users)
Pro
Upgrade to unlimited projects access (pricing available upon request)
Enterprise
Not publicly specified
Sources & Research NotesResearch date: 2026-04-03
Fields Checked (15)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, fundingTotal, input-formats, output-structure, algorithm-approach, useCases, pricing
Not Found (8)
privacy-policy-specific, data-retention-days, compliance-certifications, api-authentication-details, api-rate-limits, algorithm-accuracy-metrics, customer-count-for-c-scale, enterprise-pricing
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.