Over the past months, we have worked with Scailable to optimize their neural network evaluation. Scailable runs neural networks on edge devices, taking a neural network specification and turning it into executable machine code.
One of our clients helps companies in becoming GDPR-compliant. A goal is to recognize sensitive pieces of user data in a big pile of registrations, receipts, emails, and transcripts, and mark them to be checked out later. As more and more data is collected by companies, finding and eliminating sensitive data becomes harder and harder, to the point where it is no longer possible for mere human employees to keep up without assistance.
We often get the question how productive working with Rust is. "We know that it is awesome, but isn't it hard to learn? Don’t you struggle with the borrow checker?".
Well, we put it to the test in Google's Hash Code 2019 programming competition.
At Tweede golf I've been working with Rust a lot lately. My interest in Rust has been there for years, so I was very happy to start applying it in my working life, about a year ago. Since then I have worked with Rust both for our clients as well as employing it for our operations setup. I have also experimented with Rust for web \[1\]. Until now however we did not contribute to the Rust ecosystem. About time that we get our feet wet and publish our first crate!