Forge3D

CurrentSky · AI CAD Engine

AI-Powered Geometric Synthesis

From a rough sketch to a printable, mechanical part.

Demo

Watch it forge a part

Bridging the gap between imagination and physical reality — one forged part at a time.

What is Forge3D

An AI forge for real parts

Forge3D is an AI-powered CAD workspace that turns engineering concepts and hand-drawn sketches into professional, additive-ready 3D models. Born from the need to speed up prototyping for complex projects, it now serves as a universal forge for high-precision components.

The vision: democratize manual design by replacing steep learning curves with intuitive AI guidance. Whether you’re building functional parts for aerial systems or custom mechanical spares, Forge3D handles the geometric synthesis — moving toward a future where engineering intent is the only tool you need.

The engine

Main objectives

Rapid functional prototyping

Go from concept to a printable, functional part in a fraction of the usual time.

Precision geometric synthesis

Exact, manifold geometry — components that hold real mechanical tolerances.

Sketch-to-3D input

Multimodal analysis turns hand-drawn sketches and prompts directly into models.

Automated CAD code

Generates executable geometric code (JSCAD, FreeCAD) — not a fragile mesh.

Zero-knowledge workflows

No CAD expertise required — describe the intent, and the engine handles the rest.

Under the hood

Advanced synthesis & logic

Forge3D leverages a multi-layered AI architecture driven by the latest coding models, including GPT-5 Codex — enabling semantic understanding of mechanical constraints and real-time validation of geometric logic.

Future iterations will integrate structural simulation and material analysis, bringing generative engineering directly into the hands of makers and hardware startups.

Why Forge3D

Deterministic by design

While standard AI tools produce chaotic meshes, Forge3D outputs executable geometric code (JSCAD and FreeCAD). Every part isn’t just a visual representation — it’s an actual mechanical component: manifold, scalable, and ready for the 3D printer.

From drawing objects to describing intent.

Case study

From text to 3D model

Photo: a functional component designed 100% by Forge3D and printed in PLA.

The synthesis process

01. Conceptual inputThe objective: design a “Quick-Release Dock Connector for a Modular Robot” — a robust mechanical interface, with no pre-existing blueprints and no manual CAD modeling.
02. AI-driven logic synthesisUsing the GPT-5 Codex engine, Forge3D calculated precise tolerances for a reliable connection, engineered alignment rails for stable engagement, and optimized the load-bearing surfaces for repeated docking cycles — outputting executable JSCAD code.
03. Geometric verificationThe synthesized model was inspected in our Three.js engine: a visual audit of proportions, and a check that the generated geometry was manifold and error-free for a clean STL conversion.
04. Final fabricationThe part was sent to a 3D printer. Total time from thought to physical component: less than 15 minutes (excluding print time), saving roughly 4 hours of manual professional modeling.

How it works

From sketch to 3D

Forge3D transforms hand-drawn or technical sketches into precise 3D models through a robust four-stage pipeline.

Photo: the initial hand-drawn sketch with dimensions and proportions.

1. Sketch input

The process begins by uploading a sketch of the desired object — hand-drawn or digital — that includes all necessary dimensions, proportions, and annotations required to define the geometry.

Photo: the AI analyzes the image and outputs a highly detailed textual specification.

2. Intelligent text interpretation

The system analyzes the sketch and converts it into a detailed textual specification. This description captures the full structure of the object — geometry, dimensions, relationships between components, and assembly logic.

Photo: generated detailed textual specification.

3. Code generation & automated audit

Based on the generated specification, the application produces CAD code to construct the 3D model. An additional AI auditing layer then reviews and refines this code, detecting and correcting potential errors to ensure accuracy and structural integrity.

Photo: generated CAD code being audited and corrected by the secondary AI layer.

4. Model visualization & export

Finally, the generated model is rendered within the application for validation. Users can inspect the result, verify correctness, and export the finalized 3D model as an STL file ready for manufacturing or further use.