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struct.digital

AI automation for structural engineering workflows

struct.digital automates structural, civil, and geotechnical engineering workflows using AI, automation, and custom software. Offers both pre-built products (struct.calcpack for calculation automation, struct.answer for AI-powered document analysis) and bespoke consulting services.

Bootstrapped (not publicly disclosed) raisedEarly Stage
Founded 2024 · 3+ case study clients (engineering consultancies and manufacturers)
Website →← All Tools

Why This Tool Exists

The Problem

Structural and civil engineering firms waste significant time on repetitive manual tasks including structural calculations, document reviews, and design verification. Design errors discovered late in projects cause costly rework, and teams struggle to efficiently extract information from technical documents like desk studies, borehole logs, and CAD drawings.

The Solution

struct.digital provides AI-powered automation tools and custom software solutions that streamline engineering workflows. struct.calcpack automates calculation packages directly from structural models with Eurocode compliance, while struct.answer uses AI trained on structural engineering data to analyze documents and provide precise answers. Custom automation services handle data extraction, compliance verification, and workflow integration.

How You Use It

Delivery Method
SaaSDesktop AppCustom Software
Integrations
Autodesk RevitAutodesk RobotTekla TeddsSketchUpGrasshopperExcelViktor.AI
Project Phases
Design Development, Construction Documentation, Construction Administration
Project Types
Commercial, Infrastructure, Residential

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Structural models, Technical documents
Optional:Project databases, CAD drawings, Borehole logs, Flood risk data
Formats:PDF, DOCX, XLSX, CSV, IFC, RVT, SKP
Output
What you get
Format:Automated calculation packages, design reports, analysis results
Fields:Structural calculations (steel/concrete design), Automated rebar estimation, Embodied carbon analysis, Design error detection, Extracted data from documents, Optimization recommendations
Algorithm
How it works
Model:Proprietary engineering-specific AI trained on structural design datasets; leverages industry-standard calculation engines (Robot, Tedds)
Accuracy:Not publicly specified for AI components; calculation accuracy tied to underlying tools (Robot, Tedds) and Eurocode standards; case studies report 80-95% time savings on specific tasks
Privacy
How your data is protected
Retention:Documents retained for as long as necessary for service delivery; no permanent retention for analysis (locally processed)
Training:Not explicitly stated whether user data used for model retraining; documents in struct.answer remain local without permanent storage
Compliance:GDPR-style privacy rights (data deletion, access requests), Cookie policy with opt-in consent, No explicit SOC 2 or ISO 27001 mentioned
API
Integration
Endpoint:Contact vendor for API access
Method:Not publicly documented

Use Cases

  • ·Automate structural calculations from design models (80% time savings reported)
  • ·Extract insights from technical documents (desk studies, borehole logs, reports)
  • ·Generate automated Eurocode-compliant design optimization
  • ·Reduce material costs through automated inventory-aware sizing (20% savings reported)
  • ·Synchronize design changes across Revit, Robot, and Tedds automatically
  • ·Automate repetitive calculation packages and compliance checks

Pricing

Free
Not available
Pro
Contact for pricing (subscription or one-time purchase options available)
Enterprise
Custom solutions available; pricing based on complexity and scope
Sources & Research NotesResearch date: 2026-02-01
Fields Checked (13)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, yearFounded, privacy-retention, privacy-location, useCases, input-formats, output-structure, case-studies
Not Found (7)
funding-total, soc2-iso27001-compliance, api-documentation, specific-pricing-tiers, exact-customer-count, model-accuracy-metrics, data-training-policy
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.