Convert AI & ML models to WebAssembly.
Deploy your models directly from Python or R.
Super fast. Super easy.
During our beta, Scailable allows you to transpile many types of fitted Scikit-learn,
Statsmodels and Xgboost models to
tiny, safe and efficient WebAssembly binaries
package - see here
for an overview which models we already support.
When Scailable has converted your ML or AI model to a small, safe, fast and efficient WebAssembly executable, you will now be able to run it most anywhere by deploying it to one of our minimal Sclbl runtimes. During our beta, we will be running your models on our own cloud servers. But our edge, browser, bare metal and other cloud runtimes are nearing completion!
If you have received a personal invite, provide your access code below and we will move you to the top of our waiting list.
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Congratulations, we successfully created your account! We truly appreciate your interest in Scailable!
However, regretfully your account is not active yet. Since we are in beta at the moment we are actively managing our influx of new users. We are working hard to activate your account as soon as possible and we will send you an email once your account is available. However, it might take a few days. We apologize for the wait, but we hope its worth it...
Often, actions speak louder than words. So, we put up a number of demo's to showcase what Scailable can do for you.
It is estimated that up to 80 percent of AI and ML models never make it into production. Scailable was founded in 2019 by Robin van Emden and Maurits Kaptein to help bridge this gap.
The current team consists of a diverse group of people with backgrounds in coding, business and academia. Our shared goal is to move responsible AI to production to help it deliver on its many promises.