Enginuity Labs

Introduction to Enginuity Labs

Enginuity Labs is an AI-powered engineering design studio that uses specialized agents to translate engineering intent into complete designs. It sits on top of existing design software to automate repetitive work, maintain design constraints, and streamline the path from concept to validation.

The platform is designed for professional engineers and product teams working across mechanical design, electronics, and simulation. It supports CAD and PCB workflows through to simulation and validation, enabling engineer-led control with AI agents executing well-defined tasks.

Key Takeaways

• Agent-driven workflows convert natural language instructions into CAD, PCB, and simulation actions
• Works with existing tools; Archimedes integrates with Onshape today, with SolidWorks and CATIA planned
• Preserves constraints for parametric CAD while generating, editing, and refactoring 3D models in real time
• PCB design support for component placement, routing, and optimization with guidance for design for manufacturability (DFM)
• Simulation agent streamlines setup for FEA, CFD, and multiphysics studies and explains results
• Automates repetitive tasks to improve efficiency across design-to-validation workflows
• Encourages engineer-led control with AI handling execution and iteration
• Provides collaboration support through AI-powered insights and shared workflows

How Enginuity Labs Works

Enginuity Labs introduces a set of specialized AI agents that operate alongside existing engineering software. Users describe design intent and constraints in natural language, and the agents execute corresponding actions within supported tools. For CAD, Archimedes generates and refactors features while preserving parametric relationships. For PCB design, Tesla places components, routes traces, and optimizes for signal integrity and power efficiency with DFM guidance. For simulation, Da Vinci sets up FEA, CFD, and multiphysics studies, runs analyses, and surfaces actionable insights.

This agent-driven approach keeps engineers in control while delegating routine or complex setup tasks to AI. It supports iterative workflows, enabling rapid edits, evaluation, and refinement from conceptual design through simulation and validation.

Agents Overview

Core Benefits and Applications

• Mechanical design: Create and modify parametric CAD models quickly, maintain constraints, and iterate designs in real time.
• Electronics design: Place parts, route boards, and optimize layouts with natural language; improve signal integrity and power efficiency while following DFM guidance.
• Simulation and validation: Configure and execute FEA, CFD, and multiphysics studies; interpret results to inform design changes.
• Cross-disciplinary workflows: Connect CAD, PCB, and simulation tasks to reduce handoffs and accelerate design cycles.
• Team productivity: Reduce repetitive setup and editing, enabling engineers to focus on decision-making and problem-solving.