Plyable is applying research in machine learning to automate the quoting, design and manufacture of composite tooling. We pass these benefits on to the customer to reduce cost and improve lead times.

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The best way to understand the Plyable technology is to see it for yourself. Our technology is deeply integrated into our website and powers our pricing, scheduling and DFM feedback. Try out the example part upload on our homepage to get an instant quote to design and manufacture tooling of a composite part.

The Plyable team brings together experts in machine learning and experts in composite tooling to build solutions to real engineering problems. Our tooling design is tightly integrated with our manufacturing processes which means we get real world feedback.

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We chose to start our ML journey by automating the quoting of composite tooling. Plyable’s pricing model uses machine learning to calculate the price of tooling straight from the component geometry and has priced thousands of parts. Because the model is trained it gets better over time and can adapt to market conditions and seasonality.

Great moulds make great parts. Our unique machine learning technology can determine the mould-ability of a customer component in seconds and can feed the results into our pricing model.

Deep learning models can provide insights that trained engineers know “at a glance” but are hard to automate using traditional methods. The similarity of one geometry to another and feature identification are areas where convolutional neural networks show excellent results. These techniques support our mould-ability and manufacturability analysis.

Scheduling and simulation are other areas where we are investing to bring technology efficiencies to our customers.

Geometry Analysis

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For modelling problems with exact solutions geometry analysis is an excellent solution. Plyable technology makes research in geometry and topology analysis relevant to composite tooling. We are committed to deploying this technology and making it accessible on the web. Feature recognition, undercut analysis and visibility maps are all areas critical to the mould design process.

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Our technology builds on many open source technologies. Examples of libraries integrated into the Plyable product are Tensorflow, Open3D and OpenCASCADE.

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