Symbolica landed a $33 million investment earlier this year led by Khosla Ventures. Traditional symbolic AI solves tasks by defining symbol-manipulating rule sets dedicated to particular jobs, such as editing lines of text in word processor software. That’s as opposed to neural networks, which try to solve tasks through statistical approximation and learning from examples. Symbolica aims to leverage the best of both worlds.