Queryloop

AI Agents for
CAD/CAE Documentation

Intelligent AI agents that search CAD/CAE tool documentation and retrieve relevant configurations during design & implementation phases, accelerating your engineering workflows.

πŸ”§ SolidWorksπŸ“ AutoCADβš™οΈ ANSYSπŸ—οΈ Fusion 360πŸ”¬ COMSOLπŸ“Š Abaqus⚑ Altair

See AI-Powered CAD/CAE Documentation in Action

Watch how our AI agents instantly retrieve relevant configurations and parameters from your engineering documentation.

Key Features

This demo shows a simplified version of our complete optimization platform

Design & Implementation Workflow

1

Documentation Ingestion

AI agents automatically process and index CAD/CAE tool documentation, user manuals, configuration guides, and best practices from multiple sources.

2

Intelligent Search

Engineers query in natural language about specific configurations, parameters, or implementation steps. The AI understands context and intent.

3

Configuration Retrieval

AI agents retrieve relevant configurations, parameter settings, and step-by-step procedures tailored to the specific design requirements.

4

Implementation Guidance

Receive contextual guidance for implementation, including prerequisite steps, potential issues, and optimization recommendations.

Example Queries

How do I set up mesh parameters in ANSYS for thermal analysis of a heat exchanger?

β†’ AI retrieves specific meshing guidelines, parameter ranges, and configuration steps

What are the best SolidWorks simulation settings for stress analysis on aluminum components?

β†’ AI provides material-specific simulation parameters and solver configurations

How do I configure COMSOL for multiphysics coupling between fluid flow and heat transfer?

β†’ AI delivers step-by-step coupling setup and interface configuration details

Transform Your Engineering Workflow with Queryloop

Without Queryloop
With Queryloop
Hours spent manually searching through PDF documentation and user manuals
Instant AI-powered search across all CAD/CAE documentation with contextual results
Guesswork on optimal configurations leading to suboptimal designs and rework
AI suggests best configurations based on successful implementations and best practices
Knowledge silos where expertise leaves with engineers
Centralized knowledge base that captures and shares engineering expertise across teams
Inconsistent implementation across different projects and teams
Standardized configurations and procedures ensure consistent quality
Steep learning curve for new engineers on complex CAD/CAE tools
AI guidance accelerates onboarding and reduces time to productivity

Measurable Performance Improvements

Queryloop Performance Impact

Without Queryloop
With Queryloop
Without
Better
With
Accuracy
Without
Faster
With
Latency
Without
Lower
With
Cost

Queryloop's AI agents dramatically reduce time spent searching documentation, increase configuration accuracy, and lower engineering costs by providing instant, contextual assistance for CAD/CAE workflows.

Client Success Story

See how Queryloop's optimization drives measurable business results

Improved Accuracy
Faster Retrieval
Reduced LLM Costs
2x Business Growth

β€œPartnering with Queryloop to optimize our RAG app has been a game changer! They uncovered opportunities we never thought possible taking our product to a whole new level. The results were improved accuracy, super fast retrieval and reduced LLM costs. With a system that self-monitors and self-optimizes, our clients continue to rave about the quality and value our app delivers.”

β€œWorking with Queryloop has also allowed us to roll out new features in record time, reducing development time and going to market faster than ever before. This resulted in doubling our business in just under 90 days.”

β€œIf you're building a Gen AI app and want to level up, I can't recommend Queryloop enough. They are the real deal.”

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Marc Hernandez

Founder & CEO,Guideline Buddy

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Ready to Accelerate Your Design Process?

Transform your CAD/CAE workflows with AI agents that understand your documentation and provide instant, contextual assistance. See how leading engineering teams are reducing design time.