At Deepdesk we develop AI technology that is not aimed at replacing people, but aiding them. Our technology makes jobs less tedious by helping to eliminate repetitive tasks. We focus on the contact center space, where we enable contact center agents working within across any channels (chat, email, voice, Messenger, etc.) to reduce the amount of time they spend searching for the best response to a customer query, and providing it to the customer (through typing or speaking). To achieve this, we train our neural networks with our customers' historic data from previous conversations to provide automated suggestions with the best answers to customer queries. Because our AI is able to understand customer conversations, Deepdesk’s AI Agent Assist presents the contact center agent with the best possible answer to any customer query, as well as links to related content that may live in their internal knowledge bases, public facing FAQ’s, or any other resource. By presenting the most relevant information to the agent for the questions being asked, Deepdesk can drastically reduce training times and make every agent an expert from day one. Using real-time analysis paired with customer satisfaction data, our AI learns which responses at which time lead to the most positive customer outcome and uses this information to continually train our AI in real-time. This means more happy customers, and higher customer satisfaction scores. Increased happiness also extends to the agents: a direct result of using Deepdesk is an increase in agent happiness and retention. Deepdesk technology is based on our proprietary unsupervised machine learning engine. Autocomplete technology is expected to respond in real time, so we developed an ensemble algorithm that combines a number of technologies and AI models to provide suggestions in under 100ms. Deepdesk’s unique approach also always ensures relevant content with automatically and frequently updating models, using recent conversation data.