playence (www.playence.com) is a provider of intelligent solutions for contextual multimedia annotation, search, browsing and enrichment. Our solution allows to land a search at the exact second a word is being pronounced in an audio or a character appears in a video stream. playence’s technology is able to process natural language queries and exploit the context of the user’s request, to better match information needs, with the videos, audios and text assets in the repository. This technological improvement, results in better information access while reducing operating expenditures.
Dr. Sinuhe Arroyo
Chief Executive Officer
As CEO and founder of playence, Sinuhe Arroyo is responsible for the strategy and the execution of the business plan of the company. Prior to joining playence, Sinuhe worked as Corporate Development Manager at phion AG. While at phion, Sinuhe completed the acquisition of Visonys AG and successfully established new business partnerships internationally. Prior to phion he worked at DERI as project manager, participating in various world-class research projects that sat the foundations of Semantic Technology. Prior to DERI Sinuhe worked at iSOCO S.A., contributing, already in 2002, to one of the first commercial Semantic Web projects world-wide. Sinuhe brings more than 10 years of technology industry experience and extensive business and operational background to playence.
Sinuhe holds a PhD in Computer Science (Semantic Technology) from the University of Innsbruck (Austria) and an MBA from the University of Chicago Booth School of Business.
VP Sales and Marketing
Enrique is responsible for the business development and the global sales strategy, defining the right business model for each target industry, including the alliances for different verticals and geographies. Since 1995 Enrique has been working with multinational and start-ups software companies, where he played different roles, from consultant, to sales and marketing roles, to top management positions. Enrique brings more than 15 years of experience in the software industry, with a deep understanding of the ICT world (technologies, methodologies, products, processes and trends), the vertical industries and the business model required for each market and momentum (including sales, marketing,licensing, channel among other areas).
Enrique holds a Graduate in Physics Science (Microelectronics and Applied Physics) from the UAM University of Madrid (Spain) and is Alumni of IESE, the prestigious International Business School, where he studied an Executive Management Program (PDG) designed for experienced general managers.
BSc. Silvestre Losada
VP Chief Software Architect
As CSA Silvestre is responsible for lead software architectural design decisions. Previously, he had a successful career as an architect for semantic search engines and service oriented architectures, holding positions with iSOCO and Ximetrix Network Thougths. Silvestre has been architecting sofware on a global scale for over 10 years and is a recognized thought leader in the area of Semantic web, Semantic Web Services, Information Retrieval and Knowledge ManSilvestre holds a Bachelor in Computer Science from the University Carlos III of Madrid.
José Manuel López Cobo, MSc
Chief Technology Officer
José Manuel (Ozelin) is playence's Chief Technology Officer (CTO) responsible for development and product management. Ozelin brings to playence more than 10 years of experience in commercial software projects for large customers applying Semantic Technologies as well as other Innovation oriented activities. Before joining playence Ozelin worked for XimetriX where he was responsible for the commercial exploitation semantic based products in the field of the Annotation and Information Retrieval. Previously, Ozelin has been participating in companies like iSOCO and Atos Origin where he was deeply involved in technical developments and research oriented projects, leading large teams of developers and consultants.
Ozelin holds a Master in Computer Science from the University of Málaga, Spain and is candidate to a PhD in Computer Science.
Contact him: [email protected]
Usage-based model (# of assets, # of users or # of Gigas).
Native contextual technology, to improve performance and effectiveness of information access.
Automatic knowledge extraction and 3x faster contextual annotation than competitors to drastically reduce OpEx.
Knowledge enrichment to automatically complement extracted knowledge with information from the Wikipedia or other corporate information silos.
Natural language queries more accurately matched with objects’ descriptions, offering improved accuracy of results and reducing the search time by 50%.
Search landing at the exact second the sought character appears in a video or the needed word is pronounced in an audio stream.
Cross-language, cross-asset query and homogeneous asset retrieval, improving information access across multinational organizations.