AI co-pilots go head-to-head for component sourcing

AI co-pilots go head-to-head for component sourcing

Business news |
By Nick Flaherty

Two component sourcing firms are going head to head with AI co-pilots.

Startup SnapChip in Canada has launched an AI-based co-pilot that aims to cut the time spent sourcing electronic components.

The tool is specifically trained for companies that manufacture electronics and uses real time data from OctoPart with parametric data on +1 billion components from Silicon Expert as well as the GPT3 and GPT4 large language models (LLMs).

This is taking on an AI copilot from Snapmagic, formerly snapEDA, which launched back in October using its data models. This works with existing PCB design tools and data from distributors such as Digi-Key and Mouser and suppliers include Texas Instruments, Analog Devices and TE Connectivity.

SnapChip says its AI algorithms to streamline the component sourcing process, making it 50x faster at researching part data, 10x faster a finding the best quiotes and 100x faster at finding alternative parts than other systems. Subscriptions start at $299/month and it is signing up users for a beta trial

“We’ve spent a year understanding AI and working with partners to see how it can help electronic component sourcing. The result is SnapChip, which can slash the time spent sourcing. This is a first step towards really transformative gains in the very near future,” said Everett Frank, (above) CEO of sourcing consultancy DigiSource and SnapChip, 

“We source parts every day. With decades of experience in electronic component distribution and contract manufacturing, we recognized the potential of AI to overcome our daily frustrations. We’ve spent the last year working with friends and partners in the industry to explore the usefulness of AI for component sourcing. We are convinced AI can save buyers an enormous amount of time, and in the near future could transform procurement.”

Using OpenAI’s GPT  LLMs enables queries in natural language rather than using sub-menus to find components. The company points out that the system has been trained to only answer questions based on explicit knowledge and it won’t make up an answer to address the issue of ChatGPT hallunications.


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