Forge3D

We are pioneering a new way to bridge the gap between imagination and physical reality. Forge3D is an AI-powered CAD workspace that transforms engineering concepts and hand-drawn sketches into professional, additive-ready 3D models. Born out of the need to optimize rapid prototyping for complex projects, it now serves as a universal forge for high-precision components.

Our vision is to democratize manual design by replacing steep learning curves with intuitive AI guidance. Whether you are building functional parts for independent aerial systems or custom mechanical spares, Forge3D handles the geometric synthesis. With every forged part, we move closer to a future where engineering intent is the only tool you need.

Main Objectives of

Forge3d Engine

Rapid Functional Prototyping

Precision Geometric Synthesis

Multimodal Input Analysis (Sketch-to-3D)

Automated CAD Code Generation

Zero-Knowledge Engineering Workflows

Advanced

Synthesis

AND Logic

Forge3D leverages a multi-layered AI architecture driven by the latest coding models, including GPT-5 Codex. This allows for 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.

Uniqueness

The main distinction of Forge3D lies in its deterministic approach to 3D generation. While standard AI tools often produce chaotic meshes, Forge3D outputs executable geometric code (JSCAD and FreeCAD). This ensures that every part is not just a visual representation, but an actual mechanical component—manifold, scalable, and ready for the 3D printer. This engine represents a paradigm shift: we are moving from “drawing objects” to “describing intent,” where the AI handles the complex translation into physical coordinate space.

Deterministic CAD Synthesis ✦ Multi-Format Export ✦ Real-Time 3D Rendering ✦ GPT-5 Codex Logic ✦ Addictive Ready Geometry

From Text to 3d Model

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

The Synthesis Process

01. Conceptual Input
The objective was to create a “Quick-Release Dock Connector for a Modular Robot”. The AI was tasked to design a robust mechanical interface without any pre-existing blue prints or manual CAD modeling.
02. AI-Driven Logic Synthesis
Using the GPT-5 Codex engine, Forge3D analyzed the docking interface requirements. The AI autonomously calculated precise tolerances for a reliable connection, engineered robust alignment rails for stable engagement, and optimized the load-bearing surfaces to withstand repeated modular docking cycles, outputting executable JSCAD code.
03. Geometric Verification
The synthesized model was instantly inspected via our Three.js engine. We performed a visual audit of the part’s proportions and verified that the generated geometry was manifold and error-free, ensuring a seamless conversion to STL format.
04. Final Fabrication
The resulting part was sent to a 3D printer. Total time from thought to physical component: Less than 15 minutes (excluding print time), saving approximately 4 hours of manual professional modeling.

from Sketch to 3D

Our application 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. This can be a hand-drawn or digital drawing 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, including 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.