Bind-a-bagel

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  Home

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  Select an equipment

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  Get Solutions

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  If not solutions found propose research themes

Inspiration

Downtimes in the maintenance industry can cost thousands of dollars each minute. Employee turnover due to labor shortages and more complex machines, make put back into service longer than before costing manufacturing companies thousands of dollars each week

What it does

• Our app provides a maintenance troubleshooting assistant, and allows non specialized technicians to troubleshoot and fix issues as fast as possible, ultimately reducing downtime.

How we built it

• Leveraging Cohere AI tools (Chat, Rerank, and Embed)
• Using the FMEA (Failure Mode and Effects Analysis) method for scoring problems;
• Linear regression for determining problems in an image;

Challenges we ran into

• Cohere Tools are slow and can bring more problems;

Accomplishments that we're proud of

• Use GxFxD parameters for ranking;
• Conversation Suggestion Loop;

What we learned

• Embedding images to extract context about a problem requires ML models.

What's next for Bindabagel

• Sign our first paying client

Built With

• cohere
• svelte
• sveltekit