AI in Onshape: From First Features to AI Agents

The internet wasn’t built in a day. Neither will AI’s full impact be realized overnight. Its value will emerge incrementally, as teams learn where it meaningfully fits into real workflows, trusted data, and long‑term business goals.

PTC knows this by implementing AI tools that actually improve productivity, preserve expertise, and enable smarter workflows among what were disjointed systems. Now, with what AI can do, a real digital thread can emerge.

As PTC’s cloud-native CAD and PDM platform, Onshape is ripe for transforming product development workflows with a fleet of AI capabilities that are already providing real value. And because Onshape is the world’s most customizable product CAD system, those capabilities don’t stop at what ships in the box: AI is making it faster for teams to build engineering capabilities tailored to their own products and processes.

Onshape Has the CAD Data AI Craves

AI is only as effective as the data behind it. This is where Onshape stands apart.

As a cloud‑native CAD and PDM platform, Onshape is database‑driven by design. Every modeling action is captured continuously: sketches, features, edits, branches, merges, and even missteps along the way. There are no files, no save states, and no lost history, just a complete, queryable record of how designs evolve over time.

In the AI era, that matters.

This approach creates a rich, high‑fidelity dataset that goes far beyond static geometry. It provides context, like how a design was built, how it changed, what failed, and how it was fixed. That depth of information gives AI something meaningful to learn from and something useful to act on.

The near-term capabilities on Onshape’s roadmap are valuable on their own. But they’re also groundwork. Each deepens the data, extends the toolset, and builds toward a future where AI agents work alongside engineers the way the best teammates do.

The First Steps: AI Capabilities Available Now

Onshape’s AI approach is deliberate and targeted to reduce friction across design, communication, and iteration. These first capabilities represent meaningful steps toward an AI-powered future. Several are available today through Onshape Labs, the early-access program for emerging technologies and experimental workflows.

Asesor de IA

Already putting the CAD data advantage to work, Onshape AI Advisor is providing the answers to the questions designers are asking.

Now available through the Learning Center, Help Documentation, and from within the design environment (for most plans), AI Advisor provides real-time assistance, best practices, and troubleshooting support.

It’s becoming a default way to learn Onshape, reducing onboarding and helping designers move faster as questions arise.

AI-Powered FeatureScript

Customization has always been one of Onshape’s strengths. But writing custom features still requires time and specialized expertise.

That's where AI-powered FeatureScript development comes in, and it now comes in two forms.

The FeatureScript MCP Server from Onshape Labs connects AI clients such as Claude, ChatGPT, or Gemini directly to FeatureScript. Engineers describe the feature they need in plain language, and AI generates, tests, and refines the code. The result is a reusable, parametric custom feature that can be shared across teams and used like any other tool in the Onshape toolbar. Because AI is only needed to write the code, there’s no token expense each time the feature is used.

For engineers who want to create code, FeatureScript Co-Complete brings context-aware autocomplete into Feature Studio, suggesting the next function or snippet as you type.

The outcome isn’t just faster scripting but the broader adoption of customization, enabling more teams to encode best practices, reduce repetitive work, and tailor Onshape to their specific workflows.

AI-Powered Search for Models

Finding existing designs remains a persistent challenge for engineering teams, especially as repositories grow.

Onshape's AI‑generated thumbnail description search, available in Onshape Labs, shifts discovery away from filenames and metadata alone, enabling users to search by AI‑generated model descriptions. In practical terms, this means teams can search for what a part is, not just what someone once named it, even by details like “red bracket.”

As an Onshape Labs feature, it's opt-in and currently applies to public documents. Like all Labs features, it’s still early, but it closes the gap between what engineers remember about a part and its name.

Renderizado rápido con IA

Clear visuals matter early and often, but traditional rendering workflows can be time‑intensive.

AI Quick Render applies modern AI image generation models to produce professional‑grade renderings from a simple text prompt. It’s designed for speed, enabling teams to generate visuals in seconds for early concepts, reviews, or stakeholder discussions.

Rather than replacing Onshape Render Studio, Quick Render complements it, giving users a faster option when they need clarity quickly, without sacrificing quality.

Replicate Annotations

While models evolve rapidly, drawings often lag behind.

Replicate Annotations uses machine learning and probabilistic matching to automate the transfer of annotations, including dimensions, tolerances, layout, and placement, from one drawing view to another. This is especially useful when working with design variants, where geometry changes but documentation standards remain consistent.

The result is less manual rework and more consistent drawings without slowing down iteration.

It also builds on model-based definition (MBD) in Onshape, where semantic PMI stays attached to the geometry and drawing views can be suggested automatically from MBD annotations. Together, they keep the handoff to manufacturing connected to the model, and the tool operates without using customer data for external model training.

The Vision: AI Agents That Work Like Teammates

Every capability described above is building toward a shift that comes closer to actualizing the AI dream than ever before: Tell the computer what you want, it understands, it executes, and it delivers with dependable results that can be used in real life.

Onshape is developing AI agents that can be added to projects like any other teammate, with defined permissions that can be revoked at any time. Their actions are fully tracked, visible, and reversible, maintaining the same level of control teams expect from human collaborators.

Agents can analyze designs, provide feedback, answer questions about model data, export deliverables, fix failing features, update parameters, modify geometry based on defined goals, automate repetitive tasks, and assist with drawing, creating a true force multiplier rather than a passive assistant.

Utilizing the Onshape MCP (Model Context Protocol) server, a toolkit for custom agents, will give designers and engineering teams a stable, open interface to connect their own strategies directly to Onshape, while respecting existing permissions. Teams can build agents trained on company-specific data and tuned to their own needs, extending Onshape’s already unbounded integration abilities.

These tools are what make Onshape the world’s most customizable product CAD system: the agents, like the features, are yours to shape.

Stay tuned for the latest developments. Stay tuned for the latest developments.

Practical AI, With More on the Horizon

AI is becoming grounded in real systems, real data, and real workflows.

With a cloud‑native foundation and data‑rich architecture, Onshape is positioned to turn potential into practice in 2026 and beyond. Only Onshape combines cloud-native CAD and PDM with the ability to build engineering capabilities tailored to your company's products and processes.

This isn’t the end state.

But it’s clearly no longer the beginning.