Solve complex challenges
Accelerate innovation with our AI-powered assistant. Visualize optimal solutions using our unique Pareto-front output. See how simple it can be.
Understand its power
This AI-powered assistant with adaptive quantum computing helps engineers and innovators find optimal solutions. Describe your goal in natural language; the system generates a formal model, performs multi-objective optimization (NSGA-II), and displays a visual Pareto frontier of solutions. Each solution includes detailed explanations and implementation recommendations.
Advantages of Creatoria
Creatoria helps engineers and innovators make smarter decisions β faster. Explore the key features that turn complex tasks into clear, actionable solutions.
- Natural Language to Formal ModelDescribe your goal in plain English β Creatoria automatically builds a structured optimization model (YAML) from it.
- Multi-Objective Optimization EngineBuilt-in NSGA-II algorithm explores 1000+ design variants to find Pareto-optimal solutions under multiple criteria.
- Visual Decision SupportView the solution space as an interactive Pareto front and get AI-generated insights, tradeoff explanations, and implementation tips.
How It Works
From idea to optimal solution β Creatoria guides you through every step with AI.
πΉ Step 1: Describe Your Goal: Use natural language to explain what you want to optimize β a product, a process, or a material.
πΉ Step 2: Creatoria Builds the Model: The assistant converts your input into a structured YAML model with clear objectives, constraints, and parameters.
πΉ Step 3: Run OptimizationCreatoria launches multi-objective optimization (NSGA-II), simulates hundreds of scenarios, and explores trade-offs.
πΉ Step 4: Visualize Results & Decide: You receive an interactive Pareto front of solutions with explanations, recommendations, and exportable reports.
Explore use cases
Explore how our AI assistant is revolutionizing product design, materials research, and engineering. Get inspired for your own projects.
π² Bicycle Frame Optimization
Goal: Reduce weight while maintaining structural rigidity.
How Creatoria helps: The AI assistant builds a model using CAD geometry and user-defined load conditions. It explores trade-offs between mass, stiffness, and cost β and visualizes the best frame designs on a Pareto front.
β Result: 22% weight reduction, same stiffness, optimized for carbon tubes.
How Creatoria helps: The AI assistant builds a model using CAD geometry and user-defined load conditions. It explores trade-offs between mass, stiffness, and cost β and visualizes the best frame designs on a Pareto front.
β Result: 22% weight reduction, same stiffness, optimized for carbon tubes.
π§ͺ New Composite Material for Aerospace
Goal: Maximize thermal conductivity while keeping the density low.
How Creatoria helps: It combines AI-generated material compositions with robustness analysis (VaRββ ) and FEA feedback to design high-performance carbon-based composites.
β Result: 18% increase in Ξ» (thermal conductivity) with density under target.
How Creatoria helps: It combines AI-generated material compositions with robustness analysis (VaRββ ) and FEA feedback to design high-performance carbon-based composites.
β Result: 18% increase in Ξ» (thermal conductivity) with density under target.
π Green Energy System Design
Goal: Optimize layout of solar panel clusters for efficiency and cost in variable terrain.
How Creatoria helps: The system models solar yield based on geography, sunlight exposure, and materials, and finds optimal placement under cost constraints.
β Result: 12% higher energy output with 9% lower installation cost.
How Creatoria helps: The system models solar yield based on geography, sunlight exposure, and materials, and finds optimal placement under cost constraints.
β Result: 12% higher energy output with 9% lower installation cost.
π¦ Sustainable Packaging Design
Goal: Minimize material usage while keeping shock resistance.
How Creatoria helps: The AI assistant evaluates geometries and materials, models drop tests via surrogate simulation, and suggests best-performing shapes.
β Result: 28% material savings with no drop in protective performance.
How Creatoria helps: The AI assistant evaluates geometries and materials, models drop tests via surrogate simulation, and suggests best-performing shapes.
β Result: 28% material savings with no drop in protective performance.
Hear from our users
Choose your plan (project)
Find a pricing plan that fits your needs and budget. We offer flexible options to ensure accessibility for all users.
Basic
$O
Ideal for individual users and small projects.
Pro
$00
Suitable for teams and larger projects.
Enterprise
Contact Us
Designed for large organizations with high-volume needs.
Start your journey
Sign up for a free trial or request a demo to experience the power of our AI assistant firsthand. Begin optimizing your innovation process today.
Get in touch
Questions about Creatoria? We're happy to help! Please fill out the form below or contact us.
team@creatoria.pro
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Photo credits: Freepik, Unsplash [Tool., Inc, ThisisEngineering, Alexander Grey, MUILLU, Gabriel Porras, Lance Anderson, Markus Spiske, Drew Hays, Annie Spratt, Agenlaku Indonesia, Austin Distel, Divjot Ratra].
