Parametric Systems
Facades, envelopes, structural systems. Where complexity requires complete algorithmic control. Where every instance is unique but related. Where manual modeling is impossible.
When Reality Gets Complex. When Traditional Tools Fail. When Math Matters.
Computational Design
Parametric modeling. Generative design. Performance optimization. Custom solutions for problems that don't have off-the-shelf answers.
MANUAL WORKFLOWS ARE KILLING YOUR MARGINS. HERE'S WHY:
Scenario 1:
Traditional Tools Can't Do What You Need
You need to evaluate 10,000 design variations in 4 hours instead of 4 weeks. Excel formulas aren't enough. Manual modeling is impossible. You need algorithmic generation.
We build the algorithms. We create the parameters. We automate the evaluation. You get results at decision-making speed, this will become the norm on efficiency across workflows.
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Scenario 2:
Optimization Requires Multiple Variables
You need to optimize for cost AND performance AND outcomes AND scalability simultaneously. Every choice affects every other choice. Manual optimization takes weeks and still misses better solutions.
We build optimization frameworks. We define constraints. We automate exploration. You get solutions humans couldn't find manually.
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Scenario 3:
Fabrication Demands Precision
You need to generate fabrication files directly from design models. Every panel is unique. Manual documentation is error-prone and slow. And overall tolerances are tight.
We automate fabrication file generation. We build verification systems. Integrating with manufacturing workflows. You get buildable precision.
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Scenario 4:
Custom Tools Don't Exist
You need specific functionality that no commercial software provides. Your workflow requires custom tools. Off-the-shelf solutions don't solve your specific problem.
We build custom tools. We integrate with existing software. We create interfaces your team can use. You get exactly what you need, nothing you don't.
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APPLICATIONS
A window into what we can achieve for you
Generative Design
Space planning, layout optimization, form generation. Where exploring vast design spaces manually takes too long. Where finding better solutions requires computational exploration.
Performance Optimization
Structural efficiency, energy performance, material usage. Where multiple objectives compete. Where optimization requires simultaneous evaluation of conflicting goals.
Custom Tool Development
Plugins, scripts, standalone applications. Where commercial software doesn't solve your specific problem. Where workflow efficiency requires automation.
FAQ
1. Do we own the tools and algorithms you build?
Clients retain 100% ownership of the source code and IP rights for all custom computational engines we build. Unlike SaaS platforms where you rent a capability, we develop proprietary assets that become part of your company's valuation and can be modified by your team indefinitely.
2. Does this integrate with our existing CAD/ERP software?
Our headless engines integrate via API with any major platform, including SAP, Salesforce, Revit, Rhino, or proprietary ERPs. We build "connector" scripts that allow data to flow seamlessly between our computational logic and your existing interface, ensuring no disruption to your current user experience.
3. Can our team modify the logic after you leave?
We provide modular code documentation and "tuning dashboards" that allow non-technical staff to adjust parameters. While the core Python or C# logic is robust, we expose the key variables (inputs/outputs) so your team can refine the engine's behavior as your business needs evolve.
4. Is this just for geometry, or can it handle logistics?
Our computational engines are discipline-agnostic, applying algorithmic logic to geometry, supply chains, and financial models alike. The same "solver" technology used to optimize a 3D building facade can be retargeted to optimize factory floor logistics or risk management portfolios.
5. How long does it take to build a custom engine?
A functional MVP (Minimum Viable Product) typically takes 4–6 weeks to develop, while full enterprise integration takes 8–12 weeks. We work in agile sprints, meaning you will have a working prototype to test and validate within the first month of the engagement.
Bring Ideas to Life
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