The Instinct Engine uses machine learning to generate never-before-seen risk scenarios. It is literally how our platform helps companies "see around the corner."
Deep learning autoencoding turns historic and client-developed scenarios into the virtual risk space, over which our swarming algorithm travels. Machine learning learns from relationships between scenarios and from real-time data feeds, creating the unique risk model for each client. The platform then uses this knowledge to create synthetic scenarios—some of which have not yet been seen in the wild.
Because we are able to generate new scenarios at machine speed, you are able to quickly turn a dozen scenarios into hundreds or thousands. You can virtually look everywhere at once.