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CalcTree

Cloud-based engineering calculation and workflow management

Platform for structural, civil, and mechanical engineers to build, share, and collaborate on parametric calculations using formulas, Python scripts, and templates. Features real-time collaboration, version control, template libraries, and AI-assisted calculation generation.

$3.8M (€2.3M pre-seed May 2025) raisedEarly Stage
Founded 2021 · Users from 110+ countries; signups from 35 European countries; adoption by Arup, Jacobs, Aurecon, WSP (exact count not disclosed; public beta launched 2024)
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WHY IT EXISTS

Why This Tool Exists

The Problem

Engineers spend approximately 40% of their time searching through past projects, rebuilding calculations, and managing fragmented calculation data across teams. Manual recalculation and lack of standardized workflows lead to errors, inconsistent documentation, and inefficient design iteration.

The Solution

Cloud-based platform where engineers define calculations using parameters, formulas, or Python scripts in reusable templates. Real-time collaboration, version control, and dynamic parameter linking enable rapid design iteration and knowledge sharing across teams. AI capabilities assist with calculation generation and verification.

USAGE

How You Use It

Delivery Method
SaaSCloud-basedWeb-based
Integrations
ExcelGrasshopperETABSGraphQL APIPython client (PyPI/GitHub)Spreadsheet integration
Disciplines
Structural Engineering, Civil Engineering, Mep Engineering
Workflows
Design & BIM
Project Phases
Schematic Design, Design Development, Construction Documentation
Project Types
Commercial, Infrastructure, Residential, Industrial, Specialized Engineering Projects
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Calculation parameters, Design criteria, Material properties
Optional:Previous calculation templates, Design standards, Project data, User corrections
Formats:Native parametric format, Python scripts, Excel spreadsheet data, Template library
Output
What you get
Format:Interactive parametric calculation pages with dynamic results
Fields:Calculated results and design outputs, Parameter-driven design variations, Templates for calculation reuse, Version history and audit trails, Exportable reports and documentation, Integration data to downstream tools
Algorithm
How it works
Model:Python and MathJS computation engines for parametric calculations
Accuracy:Not publicly specified; accuracy depends on user-defined formulas and Python scripts
Privacy
How your data is protected
Retention:Project data retained in user workspace indefinitely; user control over data deletion
Training:No AI training on user data (commitment stated in privacy documentation)
Compliance:Industry-standard encryption in transit and at rest, Role-based access control, Audit logs for enterprise, 90-day export window if company shuts down, Specific SOC 2, ISO 27001, or GDPR certification status not publicly disclosed
API
Integration
Endpoint:GraphQL API (https://www.calctree.com/blog/calctree-api-plus-python)
Method:GraphQL queries and mutations
USE CASES

Use Cases

  • ·Structural design: Beam analysis, column design, foundation calculations
  • ·Civil engineering: Geotechnical analysis, slope stability, drainage calculations
  • ·Calculation template management: Standardize recurring design workflows across teams
  • ·Design iteration: Rapid parameter variation to explore alternatives
  • ·Quality assurance: Cross-check calculations with templates and version tracking
  • ·Knowledge transfer: Share calculation logic and design standards across organization
PRICING

Pricing

Free
Free plan: Up to 10 parametric pages, basic features, 250MB storage, public template access (all plans currently free during early-adopter phase)
Pro
Business plan: $24/user/month (unlimited pages, Python IDE, API access, unlimited storage, 100 guest users, priority support)
Enterprise
Custom pricing: SSO, 10-year backup retention, workspace analytics, dedicated account manager, custom guest limits
Sources & Research NotesResearch date: 2026-04-03
Data Sources (17)
Fields Checked (19)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, customerBase, fundingTotal, pricing, input-formats, output-structure, algorithm-approach, control-features, useCases, privacy-encryption, api-endpoint
Not Found (7)
data-retention-days, specific-compliance-certifications, algorithm-accuracy-metrics, cloud-region-location, exact-customer-count, SOC2-report-status, GDPR-certification
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.
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