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VIKTOR.AI

Low-code platform for engineering app development

Python-based low-code platform that enables engineers to build, integrate, and deploy professional web applications without extensive coding expertise. Automates engineering calculations, analysis, and design workflows with connections to industry-standard CAD and analysis tools.

$6.98M raisedEstablished
Founded 2017 · 100+ engineering firms including WSP, Arcadis, Jacobs, VINCI, BAM, AECOM, Thornton Tomasetti
Website →← All Tools
WHY IT EXISTS

Why This Tool Exists

The Problem

Engineers spend 30-40% of their time on repetitive tasks like manual calculations, data transfers, and report generation. Engineering knowledge exists in spreadsheets, scripts, and tribal knowledge but is difficult to formalize, share, and reuse across teams. Building internal tools requires expensive software developers.

The Solution

Enables engineers to convert Python scripts, calculations, and domain expertise into interactive web applications with minimal coding. Integrates with Revit, RFEM, Grasshopper, AutoCAD, Dynamo, and other tools to automate workflows. Apps can be shared across teams with version control, governance, and audit trails.

USAGE

How You Use It

Delivery Method
SaaSAPIMarketplace Integration
Integrations
Autodesk RevitBentley RFEMGrasshopperAutoCADDynamoTekla StructuresNavisworksIDEA StatiCaPython SDKREST API
Disciplines
Architecture, Structural Engineering, Mep Engineering, Construction, Civil Engineering
Workflows
Data & Automation
Project Phases
Design Development, Construction Documentation, Construction Administration
Project Types
Commercial, Infrastructure, Mixed-Use, Industrial
TRANSPARENCY

Data Transparency

Exactly what this tool uses and how

Input
What it needs
Required:Python code or scripts, Engineering data/parameters
Optional:CAD models, Analysis files, Spreadsheet data, Image/document uploads
Formats:Python, IFC, DWG, RVT, GH, CSV, Excel, PDF, JSON
Output
What you get
Format:Interactive web applications with customizable interfaces
Fields:Calculated results, Visualizations, Reports, Generated files, CAD exports
Algorithm
How it works
Model:User-defined algorithms via Python SDK; LLM-assisted app generation available
Accuracy:Accuracy depends on underlying engineering logic and third-party tool accuracy. No explicit accuracy claims published.
Privacy
How your data is protected
Retention:Project-based retention; paying customers: 7 years minimum (per tax/corporate law)
Training:Data not shared with external AI providers and not used to train AI models without explicit consent
Compliance:ISO 27001, ISO 9001, GDPR, Data Processing Agreement available, AI-specific addendum available
API
Integration
Endpoint:https://docs.viktor.ai/docs/api/
Method:REST API and Python SDK
USE CASES

Use Cases

  • ·Crane foundation design automation (VINCI case: 300 engineering days/year saved)
  • ·Structural analysis workflows with FEM integration
  • ·MEP system design and optimization
  • ·Cost estimation and project feasibility studies
  • ·Parametric design for architectural exploration
  • ·Quality control and compliance checking
  • ·Custom reporting and documentation generation
PRICING

Pricing

Free
Forever Free: 1 user, public apps only, community support
Pro
Individual: 1 user with email support; Teams: 2-5 core users with live chat support (12-36 annual hours)
Enterprise
Enterprise: 20+ core users, multi-region hosting, dedicated support, SSO, 99.9% SLA, custom compute
Sources & Research NotesResearch date: 2026-02-01
Data Sources (10)
Fields Checked (15)
problem, solution, deliveryMethod, integrations, disciplines, projectPhases, projectTypes, yearFounded, maturityStage, fundingTotal, customerBase, pricing, api-endpoint, privacy-compliance, control-features
Not Found (6)
detailed-algorithm-accuracy-metrics, rate-limits, webhook-support-details, soc2-certification-report, specific-data-retention-periods, enterprise-pricing-details
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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