Mika Rautiainen, Ph.D., is the founder and chief executive officer of Valossa Labs, the deep content company. Mika has profound experience in computer vision and artificial intelligence (AI) for media content recognition systems and his innovations in AI have been integrated into Valossa’s content analysis engine, as well as the company’s emotion and expression recognition engine. Valossa’s AI platform can analyze videos in real-time to identify thousands of appearing concepts – including places, objects – from any video stream. Based on the latest deep learning techniques, the Valossa AI intelligence engine recognizes people, visual context, speech topics, video categories and other video entities at an unprecedented level of detail revealing higher level intelligence from deep, scene level information. Ultimately, the intelligence of the Valossa AI answers the question, "what are my videos about and how could I benefit from that information?”

Mika is a senior research fellow at the University of Oulu, in northern Finland, which has one of the world’s most prestigious computer vision labs. His research background with media technology and systems dates back for the past 20 years. Mika has also worked as a researcher at the University of Maryland and at NEC’s C&C Central Research Labs, in Japan. His research interests are artificial intelligence and machine learning, multimedia information retrieval, computer vision and video content technologies.

In Sept 2017, GrayMeta, a leading provider of professional media players and metadata solutions for content owners, signed a partnership with Valossa. Valossa Core API will be integrated into the GrayMeta Platform, enabling organizations to unify disparate platforms and services to quickly leverage the power of artificial intelligence via one platform and API to find and use assets. The companies will jointly deliver an enhanced experience for contextual content search for customers that own and produce large volumes of video. Valossa Core API, powered by a comprehensive video recognition engine, can simultaneously recognize people, visual concepts, audio events, spoken keywords, topic categories, and highlight explicit content, and provide market-leading utility to video management tasks. Valossa believes its video intelligence features will become standardized throughout the industry, as video-based companies seek greater monetization around content using intelligent discovery features.