Real-time AI Firm Deepbrain AI Raises $44M in Series B Funding

Deepbrain AI, a company specializing in real-time artificial intelligence (AI), on Tuesday announced the closing of a $44 million series B round, bringing its total valuation to $180M.

DeepBrain AI claims that it was the first company to introduce a real-time video synthesis AI Human that integrates machine learning, video synthesis and chatbot solutions to enhance user engagement. The result is that the AI Human can respond to questions asked by users with a person’s voice. 

Deepbrain’s solution is based on a real human model that was brought into a studio to be video recorded. The video is captured and saved for later reconstruction as a data set so it can be machine learned. The result of using a real human for modeling is that consumers have more confidence in an AI human model that leverages GAN Vocoder and records accurate lip and mouth synchronization.   

For example, Deepbrain AI is working with large education and financial organizations to implement its AI Human solution where an AI Human will act as a tutor during a lecture and will answer student questions immediately when they are asked.  Similarly, the financial organization will use the AI Human solution to create AI bankers that will assist real bankers with identifying and allocating customer needs directing them to the right bank personnel, saving time, reducing employee workloads and increasing efficiency and productivity.

Deepbrain AI’s video synthesis solution is a text to video solution whereby the AI human is given a text script to read out the script as if an actual person is speaking, resulting in a video file for later use. Its proprietary video synthesis solution enhances the customer experience while reducing the large cost and time of video production in industries including media, finance, education and commerce.