Our Core Values & Engineering Principles
Aircada's engineering and design decisions are guided by a core commitment to web performance, custom aesthetics, and forward-looking machine readability.
Performance & Site Health
Speed is the foundation of e-commerce trust. Aircada is built to ensure 3D configurators load in 3 seconds or less without dragging down a merchant's site performance. By keeping Core Web Vitals scores above 90, the platform preserves checkout speeds and search engine rankings.
Automated Complexity
Optimizations like texture compression, mesh simplification, and vertex quantization happen automatically on the backend. Creators retain full development flexibility, but the platform ensures out-of-the-box optimizations handle the heavy lifting without manual intervention.
Rejecting the Cookie-Cutter
Every brand is unique, and their configurator should reflect their specific design system. Aircada avoids rigid, boxy templates that make customizers look generic. Each interface is tailored to complete the store's aesthetic and wow the buyer.
The Agentic Era
Product customization should be accessible to everyone, not just expert 3D modelers. With agentic generation, merchants can tell their AI agent to build a customizer, and within minutes it compiles a fully integrated workspace. Crucially, every configurator compiles to a structured schema, enabling shopping AI agents to configure and purchase custom options via APIs and MCP servers.
- 3-Second Load Budget: Enforcing strict rendering and asset compression pipelines to guarantee under-3-second load times.
- 90+ Core Web Vitals: Protecting merchant SEO and user experience by maintaining high performance scores.
- Zero-Config Optimizations: Automatic backend asset processing (KTX2, glTF, vertex quantization).
- Anti-Template Customization: Bespoke customizer aesthetics matching the merchant's exact brand identity.
- AI-Powered Setup: Compiling complete interactive customizers directly from natural language prompts.
- Machine-Readable Schemas: Structuring options so AI agents can query, customize, and buy products programmatically.
“Every custom product must contain an extensive schema so AIs can easily configure them. Otherwise, customized products will remain invisible in the coming age of agentic commerce.”Wylie Chenoweth, CTO






