It’s the small changes based on user feedback that make sure our Alchemite™ software really sings.
Here’s an example. We’ve tweaked the Alchemite™ Design of Experiments (DOE) tool to make it easier to find the optimal set of experiments in fewer button clicks. Previously, the ability to input target ranges for your experimental inputs and outputs meant that you could use Alchemite’s powerful machine learning to focus-in on experiments that met your project goals – a big advantage over conventional DOE, which does not target solutions in this way. Now, you can also simply ask Alchemite™ to minimise or maximise any of your inputs or outputs – the software will search for possible experiments which fulfil these criteria whilst keeping uncertainty as low as possible. Get the results you need, faster.
See it in action
Watch the recording of our webinar ‘Design of Experiments made easy with machine learning’, which includes a short, live demonstration of Alchemite™ DOE.
