Connect Physics Intelligence to
real-world engineering workflows
Connect existing models, data, and tools around your engineering objectives and manufacturing domain knowledge. AI Workbench brings together customer APIs, in-house solvers, commercial simulation software, experimental analysis tools, and surrogate models for simulation and data analysis. LLM-based agents select and connect the required tasks, while SolverX’s Physics Intelligence predicts physical behavior to support the next design decision.
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From Engineering Intent to Evaluated Results
Define what the design needs to achieve. Workbench organizes the analysis around your objectives, prepares and executes the work, and brings the results together for evaluation. Explore candidate designs and operating conditions, then use the findings to guide further analysis, inverse design, and engineering decisions.
Goal-Driven Orchestration
Select and connect preparation, simulation, and analysis tasks using manufacturing domain knowledge together with your objectives, models, and data. LLM-based agents use physical principles, design constraints, and prior analysis results as context to coordinate APIs and tools.
AI Geometry and Mesh Preparation
Prepare geometry for analysis and generate meshes with AI, including quadrilateral meshes. Organize design inputs for use by connected computational models and analysis tools.
Automated Boundary and Operating Conditions
Generate boundary conditions and operating cases from the engineering objectives and model context. Configure analysis conditions to compare design and operating scenarios, and carry them into the next calculation.
Automated Physics Analysis
Automate physics analysis by connecting SolverX’s Physics Intelligence with customer APIs, in-house solvers, and commercial simulation software. Use the models and tools suited to the designs and conditions under evaluation to assess physical fields and performance.
Experimental Tools & Data Analysis
Connect your experimental analysis tools and data to analyze measurements and compare them with physical predictions. Use observed trends and prediction differences to inform model evaluation and the next design decision.
Custom Surrogate Models
Access surrogate models tailored to your objectives, computational models, and data as a separate offering. Use them within Workbench or connect them to your existing analysis and design environment to accelerate repeated evaluation and design exploration.
Multi-Agent Evaluation
Multiple agents evaluate models, analysis conditions, and findings from simulation and experimental data. Compare predictions, measurements, and design alternatives against objectives and constraints, bringing together the evidence engineers need for review.
Iterative Improvement, Inverse Design & Optimization
Multiple agents work together to propose improvements based on physical behavior and findings from simulation and experimental analysis. Iteratively evaluate and refine candidates for inverse design and operating-condition optimization, with engineers reviewing the results and directing the next decision.
Product Roles in Workbench
Predict physical fields and performance across new geometries, materials, and operating conditions with SolverX’s Physics Intelligence. Apply fast predictive models within Workbench and your existing environment to accelerate repeated analysis and design evaluation.
Explore geometry, material, process, and operating-condition candidates against objectives and constraints. Use physics predictions and analysis findings to iterate through design generation, evaluation, and improvement across microscopic and macroscopic problems.
Connect your computational models with experimental and observational data to learn and correct differences between predictions and reality. Incorporate behavior identified through experimental analysis into models to improve subsequent analysis and design evaluation.
AI Workbench is the integrated working environment of SolverX’s Agentic Engineering Platform. Customize workflows around your APIs, solvers, commercial software, and experimental analysis tools, connecting data analysis and surrogate predictions with preparation, simulation, evaluation, and inverse design.
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