Neurocad™ is an intent compiler for physical engineering. It reads engineering source material, extracts the information needed to construct a design asset, and generates native, editable outputs for the CAD tools engineers already use.
Neurocad™ currently creates schematic symbols, PCB footprints, and 3D component models from sources such as datasheets, drawings, images, tables, manufacturing data, and existing CAD files.
No. A conventional file converter changes data from one format into another. Neurocad™ decomposes the source into structured engineering specifications and uses those specifications to construct the artifact for the selected CAD application.
This allows Neurocad™ to generate a native, editable asset instead of returning only a flattened or neutral-format representation.
No. Neurocad™ works with the CAD applications your engineers already use. It removes much of the source interpretation and artifact-construction work that happens before an engineer can begin using the asset in CAD.
The completed result can be reviewed and opened in the selected CAD application for continued engineering work.
Many automation tools begin after the design is already structured inside a specific CAD environment. Neurocad™ begins earlier, with the documents and files that contain the engineering information.
It can read sources such as datasheets, images, dimensional tables, manufacturing data, and existing CAD files, then materialize the extracted information as a native asset for a supported CAD application.
Neurocad™ is built for:
Neurocad™ is built by engineers with experience inside the workflows the platform is designed to improve. The team has experience at Accel EDA, Altium, Autodesk, Meta, Microsoft, HP, and Siemens, building tools used by engineers, designers, and consumers worldwide.
Design intent is the reasoning that makes a design valid. It includes the dimensions, constraints, relationships, tolerances, pin assignments, package information, and engineering decisions behind the finished geometry.
Design intent is not only what the design looks like. It is the information that explains how the design should be constructed and how it should behave when edited or reused.
Read more: What Is Design Intent?
Engineering information often loses context when it moves between documents, teams, and CAD tools. A neutral file may preserve geometry without preserving the parameters or construction history behind it. A datasheet may contain everything required to create a part, but the information is distributed across multiple pages and tables.
When the receiving tool cannot use that information directly, an engineer must interpret and rebuild it. Preserving design intent reduces that repeated work and makes the result easier to review, revise, and reuse.
Zero re-entry means engineering information can move from its source into the target CAD environment without an engineer manually transcribing and reconstructing the same information at every boundary.
Neurocad™ reads the source, structures the relevant engineering specifications, and uses them to generate the requested artifact for the selected CAD application.
Start from Create and select Library Parts. Add a supported source, then choose whether Neurocad™ should read the entire file or use a targeted capture. Tag captured content as a symbol or footprint, provide a prompt describing the requested output, and select the arrow. Its hover state says Send.
After generation, Neurocad™ displays the artifact collection for review.
Read the complete user guide: Create Your First Artifact in Neurocad™
Yes. Neurocad™ can scan an entire datasheet to identify the information needed to generate an artifact.
Targeted capture is recommended when a document is very long, contains several package or footprint options, or includes information that Neurocad™ is not interpreting correctly from the complete file. Capturing the relevant image or table and providing a specific prompt gives Neurocad™ a more focused source.
Neurocad™ analyzes the available engineering information and uses the source context to determine what should be generated. Because real-world documentation can be incomplete or inconsistent, users can improve the result by selecting the exact drawing or table and adding details the source does not make clear.
If the first result is not accurate, refine the capture or provide a more specific prompt that identifies details such as the package name, pin count, or required artifact type.
Neurocad™ uses AI to interpret irregular source material such as documents, drawings, images, and tables. It then converts the extracted information into structured specifications that enter a consistent generation pipeline.
The AI interprets the source. The generation pipeline determines how the artifact must be constructed for the selected CAD tool. This separates source interpretation from tool-specific execution.
Yes. Engineers should review generated artifacts against the manufacturer’s source information and their organization’s library requirements before release.
Neurocad™ moves the engineer away from repetitive transcription and toward focused review. Targeted captures and specific prompts can improve generation accuracy when the complete document contains ambiguous or competing information.
The generated parts appear together in an artifact collection. From the results page, the user can:
All parts generated in the same run remain in the same collection, regardless of their assigned part numbers. To place parts in separate collections, generate them in separate artifact runs.
Neurocad™ extracts pin information from the supplied source and uses it to generate the symbol or footprint. For the most accurate result, include the relevant pinout image or table and identify important details in the prompt when the source is unclear.
Review pin numbering, pin 1 orientation, names, and symbol-to-footprint relationships in the artifact results before opening the part in CAD.
Neurocad™ supports:
See the complete compatibility guide: Supported File Types and CAD Tools
Supported sources can contain component datasheets, package drawings, pinout diagrams and tables, reference designs, schematics, bills of materials, PCB design data, footprint geometry, mechanical drawings, 3D models, simulation data, and legacy design information.
The content type and file format are different considerations. For example, a package drawing might be provided as a PDF, JPG, PNG, SVG, DXF, or CAD file.
Yes. Neurocad™ supports native and legacy CAD files as source material. Its translation architecture decomposes the source into structured specifications that can enter the same generation pipeline used for other supported inputs.
Format coverage will continue to expand as Neurocad™ moves toward accepting all CAD formats.
Neurocad™ reads and decomposes IPC-2581 manufacturing data into structured engineering specifications. Those specifications can enter Neurocad™’s generation pipeline and be materialized for supported CAD applications.
IPC-2581 is an input format. Neurocad™ does not present it as a separate validation feature.
Neurocad™ currently creates:
Schematics, bills of materials, PCB layouts, and mechanical parts are in beta testing.
Neurocad™ currently supports:
Neurocad™ generates the tool-specific instructions required to open the result as a native, editable artifact in the selected application.
Neutral formats such as DXF, STEP, and IGES can be used as source inputs. Neurocad™ uses the extracted information to construct the result for the selected CAD application instead of relying only on a neutral output file.
This matters because neutral formats may preserve geometry without preserving the feature history, constraints, or native editing behavior of the originating CAD tool.
Yes. Every PCB footprint generated by Neurocad™ follows IPC-7351 standards.
IPC-7351 provides guidance for surface-mount land-pattern geometry, including pad dimensions, manufacturing allowances, component clearances, and courtyard boundaries. Engineers should still review the generated footprint against the component manufacturer’s package drawing and their organization’s library requirements before release.
Read the detailed workflow: How to Create a PCB Footprint From a Datasheet
No. PLM, PDM, version-control, and library-management systems continue to govern, release, and track engineering data.
Neurocad™ operates earlier in the workflow by creating the native engineering assets those systems can then manage. It is designed to work with existing engineering processes rather than require a platform migration.
Neurocad™ generates artifacts that can be reviewed and edited before they enter the organization’s established library-management and approval process.
Teams can apply their own naming conventions, layer conventions, review requirements, and governance rules. Parts generated in one Neurocad™ artifact run remain together in the same collection. Separate runs create separate collections.
Neurocad Link connects the web application with supported CAD applications on the user’s computer. When the connection is online and the target CAD application is running, the user can open the generated artifact from the results page.
If the Play button is unavailable, open the Neurocad Link dashboard and confirm that both Neurocad Link and the target CAD application show an active connection.
Neurocad™ combines a web-based creation experience with Neurocad Link, a desktop connection that opens generated artifacts in supported CAD applications.
This architecture allows users to work from source material in Neurocad™ and continue with the resulting native asset in their existing desktop engineering environment.
Neurocad™ is designed to work with engineering source material, including proprietary documents and CAD files. Organizations with specific security, privacy, compliance, retention, or deployment requirements should review those requirements with the Neurocad™ team before adopting the platform for controlled engineering data.
Yes. Users can create recipes that connect artifact generation with broader workflows and automations. Recipe capabilities can support destinations and processes such as GitHub, Slack, and other connected workflow nodes.
Recipe workflows are more advanced than one-off artifact creation. Users creating their first artifact can generate, review, and open it in CAD without creating a recipe.
Component libraries help engineers search for and download symbols, PCB footprints, and 3D models that have already been created. They are often the fastest option when the correct part is available and meets the engineer’s library requirements.
Neurocad™ generates an artifact from the engineering source. It can use a datasheet, package drawing, image, table, manufacturing file, or existing CAD file to construct a native, editable asset for a supported CAD application.
This makes Neurocad™ useful for:
The approaches are complementary. A component library helps you find an existing asset. Neurocad™ creates the asset when the engineering information exists but the usable CAD artifact does not.
Start a free trial, open Create, and select Library Parts. Add a supported source, describe the artifact you want Neurocad™ to generate, and select Send. You can then review the artifact results, open the artifact in your CAD application, or create a recipe.
Create your first artifact with the Neurocad™ user guide.
Start your free trial or request a demo