AI in SolidWorks
ExtensionHey HN! We’re Will and Jorge, and we’ve built LAD (Language-Aided Design), a SolidWorks add-in that uses LLMs to create sketches, features, assemblies, and macros from conversational inputs (https://www.trylad.com/).We come from software engineering backgrounds where tools like Claude
Capabilities3 decomposed
automated design optimization suggestions
Medium confidenceThis capability analyzes existing SolidWorks models using AI algorithms to suggest design optimizations based on performance metrics and user-defined constraints. It leverages machine learning models trained on historical design data to predict improvements in material usage, structural integrity, and manufacturability, making it distinct by providing context-aware recommendations directly within the SolidWorks interface.
Utilizes a proprietary machine learning model specifically trained on SolidWorks design patterns, allowing for tailored suggestions that are contextually relevant.
Offers more precise optimization suggestions than generic CAD plugins by focusing on SolidWorks-specific design parameters.
intelligent error detection and correction
Medium confidenceThis capability scans SolidWorks models for common design errors, such as interferences and unsupported features, using AI-driven pattern recognition. It employs a combination of rule-based checks and machine learning to identify potential issues, providing corrective actions that can be applied directly within the software, distinguishing itself by offering real-time feedback as users design.
Combines traditional rule-based error checking with advanced AI techniques to provide a dual-layered approach to error detection, enhancing reliability.
More effective than standard error-checking tools as it learns from user interactions and adapts its suggestions over time.
contextual material selection recommendations
Medium confidenceThis capability provides material selection suggestions based on the specific requirements of the design, such as strength, weight, and cost. It uses a database of materials and their properties, combined with AI algorithms that consider the design context, enabling users to make informed decisions about material choices directly within SolidWorks.
Integrates a comprehensive materials database with AI analysis to provide tailored recommendations based on real-time design constraints.
Offers more contextualized material suggestions compared to generic material selection tools by analyzing the specific design requirements.
Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.
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AI CAD Harness
Hi HN, I'm Zach, one of the co-founders of Adam (https://adam.new).We've been on HN twice before with text-to-CAD/3D experiments [1][2]. The honest takeaway from those threads: prompt-to-3D model web apps are fun, but serious mechanical engineers don't want a black box
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Best For
- ✓mechanical engineers looking to enhance product designs
- ✓CAD designers and engineers looking for real-time feedback
- ✓product designers and engineers focused on material efficiency
Known Limitations
- ⚠Requires a stable internet connection for AI model updates
- ⚠Performance may vary based on model complexity
- ⚠May not catch all edge cases in complex assemblies
- ⚠Performance can degrade with very large models
- ⚠Limited to materials available in the integrated database
- ⚠Recommendations may not account for all environmental factors
Requirements
Input / Output
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