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Design IQ

Design IQ provides an AI-powered platform that automates the review of engineering design documents, identifying discrepancies and ensuring compliance with project specifications and industry codes. The system processes drawings against standards like NEC and IEEE, delivering actionable insights to reduce rework and accelerate project delivery.

Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Engineering and construction teams face challenges in identifying design errors and ensuring compliance with project specifications and industry standards within complex drawing packages. This often leads to costly rework, project delays, and compromised quality.

Solution

Design IQ offers an AI-powered platform that automates the review of engineering design documents, including electrical, mechanical, structural, and civil drawings. The system processes PDF files against project requirements and industry codes such as NEC, IEEE, ASTM, and AHJ standards. Its LLM pipeline performs thorough AI-powered analysis to identify discrepancies and validate designs, providing actionable insights for quality control and project-specific compliance. This enables teams to prioritize design improvements by severity, ultimately reducing rework costs and accelerating project delivery.

Target Audience

The primary customers are engineering and construction teams responsible for design review and quality assurance, including disciplines such as electrical, mechanical, structural, and civil engineering.

Features

  • AI-powered analysis engine for processing engineering drawing packages (Electrical, Mechanical, Structural, Civil).
  • Support for industry-standard document formats, primarily PDF files.
  • Compliance checking against project-specific requirements and a broad range of industry codes and specifications (e.g., NEC, IEEE, ASTM, AHJ).
  • LLM-based pipeline for detailed design validation and error detection.
  • Generation of actionable insights and recommended design improvements, prioritized by severity.
  • Automated quality control workflows to ensure adherence to standards.
This profile is AI-generated and may contain inaccuracies.