Gnowit, founded in Ottawa, Canada in 2010, employs AI and machine learning to deliver real-time updates to our customers on issues that matter to them. Our software ‘understands’ the text of new articles published on thousands of web sources sites and intelligently selects those that are useful. Today, we run a distributed platform that tracks tens of thousands of web sources in real-time, making over three billion web calls a month and adding millions of unique documents to the Gnowit repository each day. Relevant documents are found and delivered within minutes of publication.
Gnowit’s goal is to improve decision making by providing our customers with relevant information as soon as it is published on monitored web sources. To make this possible at Internet scale, we leverage artificial intelligence to monitor, capture, clean, analyse, filter, organise, make-sense-of, and report to our customers. We pride ourselves in presenting customer briefs intuitively, and affordably.
Gnowit exists solely to identify important updates based on your interests and we make use of any contextual cues available to choose the most relevant document to report on. For those who follow AI research, we are patterning our platform on the ‘Belief-Desire-Intention’ (BDI) framework, which serves as ‘your intelligent agent on the web’– that is working on your behalf.
Intelligent agent systems like this have appeared in science fiction (i.e. Iron Man’s JARVIS systems, Dune’s Mentats) but are unprecedented in real life. Although we are decades away from fully realizing this vision, like all moonshots, this effort pushes forward the frontier of useful knowledge engineering capabilities available to us today. More importantly, we are constantly improving as we advance apace towards this goal.
Today, we are starting with Boolean queries, shallow language technologies and on-the-fly machine learning classifiers, and keep adding more accurate and useful contextual intelligence capabilities as we enhance the platform.