Polydera provides high-performance, robust geometry processing solutions designed for modern engineering, medical imaging, pharmaceutical manufacturing, and AI-native applications. At its core, the company offers the trueform engine, a header-only C++ library engineered to bring the principles of the Standard Template Library (STL) to 3D geometry processing. By separating algorithms from data structures, trueform allows developers to work directly with their own memory layouts, such as flat arrays, without expensive data conversion or the 'conversion tax' commonly associated with traditional geometry libraries. The engine supports exact arithmetic and robust predicates to handle non-manifold meshes, self-intersections, and degenerate geometry at interactive speeds.

Some of the key features are:

• Exact Geometry Processing: Utilizes integer predicates and robust arithmetic to eliminate floating-point errors in geometric decisions.
• Zero-Copy Architecture: Allows algorithms to operate directly on user-owned data via lightweight semantic views, avoiding unnecessary copies or memory reallocations.
• Parallel Performance: Built for multi-threaded execution on modern hardware, achieving significant speedups over legacy libraries like CGAL and libigl.
• Policy-Based Design: Enables the injection of spatial structures, topological connectivity, and transformations as composable policies that algorithms detect at compile-time.
• AI Integration: Implements a schema-driven architecture that allows LLMs and AI agents to interact with geometry operations via dynamically discovered tool interfaces.
• Platform Versatility: Provides bindings for C++, Python, and TypeScript, with full support for WebAssembly, enabling seamless execution in browsers and server-side environments.

Polydera's software architecture relies on a clear separation between data (owning buffers), semantic views (ranged access), and behavioral policies. Users define their data as standard memory structures, wrap them in semantic views to interpret them as points or polygons, and then optionally attach acceleration structures like AABB trees. Because these structures are decoupled, they can be shared across various operations or dynamic transformations, such as rotations and translations, without triggering recalculations. This modularity makes the library particularly effective for scenarios involving frequent, interactive geometric updates.

Some common use cases include:

• Surgical Planning: Powering FDA-cleared applications for medical visualization and surgical procedure planning.
• Industrial Manufacturing: Facilitating 3D printing pipelines and surface processing for pharmaceutical and engineering components.
• AI Agent Tooling: Enabling autonomous agents to perform complex geometric manipulations, such as boolean operations and mesh arrangements, within a shared workspace.
• Real-Time Visualization: Providing the backbone for interactive CAD or geometry editing applications that require fast, error-free feedback on large, million-polygon meshes.