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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 raised 🏢 Established
Founded 2017 100+ engineering firms including WSP, Arcadis, Jacobs, VINCI, BAM, AECOM, Thornton Tomasetti

Why This Tool Exists

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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.

How You Use It

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Delivery Method

SaaS API Marketplace Integration
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Integrations

Autodesk Revit Bentley RFEM Grasshopper AutoCAD Dynamo Tekla Structures Navisworks IDEA StatiCa Python SDK REST API
Disciplines
Architecture, Structural Engineering, MEP Engineering, Construction, Civil Engineering
Project Phases
Design Development, Construction Documentation, Construction Administration
Project Types
Commercial, Infrastructure, Mixed-Use, Industrial

Data Transparency

Exactly what this tool uses and how

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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
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Output

What you get

Format: Interactive web applications with customizable interfaces
Fields: Calculated results, Visualizations, Reports, Generated files, CAD exports
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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.
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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
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API

Integration

Endpoint: https://docs.viktor.ai/docs/api/
Method: REST API and Python SDK

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

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
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📚 Research Sources & Data Quality Last verified: 2026-02-01
Verified Data (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
Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.

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