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The Dawn of AI powered CAD Copilots


Futuristic AI powered product development

In the last two decades, we've witnessed monumental advancements in software development and its associated tools. This rapid progress has reshaped how we approach and execute software projects. However, this is not the case in hardware development tools, especially when it comes to using Computer-Aided Design (CAD) tools for 3D modeling. Despite being pivotal in hardware development, CAD tools have largely remained static over the past 15 years. As a result, the design process remains very manual, with engineers needing to create designs from scratch without substantial assistance or automation, making it both labor-intensive and time-consuming. These inefficiencies not only inflate development costs but also prolong the development cycle, increasing the capital requirements for ambitious hardware projects.

It's important to note that while each new product is unique, not every aspect of it and its production system represents a groundbreaking innovation. Many products use standard components and machine elements, slightly modified for specific needs. Yet, even these require significant design resources with current CAD tools.


Machine elements commonly used in any machinery.

Contrary to what many seem to believe, there's no shortage of innovative ideas and product concepts out there. People are truly creative in this field. However, the real challenge comes when moving from an idea or concept to prototypes and production. This stage is the primary cost driver and uses up most of the engineering resources. As a result, engineers have little time for new ideas and concepts. They also face frequent context switching, which affects efficiency and prevents the focused work needed for new innovations.


Another problem in product development is the lack of guidance. Engineers often have to rely on their own experience or advice from more senior engineers, as they navigate through the design phase with minimal direction. This often leads to unnecessary design revisions and, in some cases, designs that are not only expensive to produce but also caught late in the development cycle, where changes become very costly. Moreover, converting designs between different CAD formats often leads to the loss of vital information, creating additional manual work and setbacks, especially when working with multiple teams or external suppliers.


In essence, while the core functions of current CAD tools are essential, they don't fully support engineers in today's complex engineering environment. This results in engineers spending the majority of their time on non-value-adding activities rather than on innovation and creativity. Fortunately, the landscape of hardware development is evolving with the advent of generative AI. Visendi is developing an AI-powered CAD Copilot that integrates seamlessly with existing CAD systems, greatly improving the productivity of design engineers. This AI CAD Copilot offers engineers the best of both worlds: the familiar core features of their CAD tools and the power of advanced generative AI assistance. Similar to how chatbots like ChatGPT assist software engineers in coding, Visendi's AI CAD Copilot assist design engineers in CAD modeling. It complements existing tools without disrupting established workflows. By handling the repetitive and mundane aspects of design, Visendi's AI CAD Copilot allows engineers to concentrate on their strengths — creative and critical design work.


This increase in productivity is not just about faster completion times; it signifies a shift in how we approach hardware product development. By streamlining the design process, we're not only saving time — we're unlocking new creative potential for engineers and the industry, making ambitious projects more achievable and accessible.

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