


Ugiat Technologies Email Formats
Software Development • Mollet del Vallès, Catalonia, Spain • 1-10 Employees
Ugiat Technologies Email Formats
Ugiat Technologies uses 2 email formats. The most common is {first name}.{last name} (e.g., john.doe@ugiat.com), used 57.1% of the time.
| Format | Example | Percentage |
|---|---|---|
{first name}.{last name} | john.doe@ugiat.com | 57.1% |
{first initial}.{second initial} | j.o@ugiat.com | 42.9% |
Key Contacts at Ugiat Technologies
Francesc Tarrés
Co-Founder And Ceo
Raul Quijada Ferrero
Chief Technology Officer
Company overview
| Headquarters | C/Sant Jordi Num.3, Mollet del Valles, Barcelona 08100, ES |
| Website | |
| SIC | 873 |
| Keywords | Computer Vision, Image Processing, Artificial Intelligence, Machine Learning, Deep Learning, Audiovisual Analysis, Audiovisual Understanding |
| Founded | 2015 |
| Employees | 1-10 |
| Socials |
About Ugiat Technologies
Ugiat Technologies is a technology firm focused on the design of advanced processing systems and artificial intelligence solutions with the aim of automatically analyzing, measuring and understanding audiovisual content. We are a spin-off from the Polytechnic University of Catalonia (UPC), founded in 2015 and participated by UPC and Telefonica-Movistar. Our know-how and developed technology is applied to a wide range of topics related with digital image/audio processing, media analysis, computer vision, language understanding and artifical intelligence. This technology can be grouped in a list of relevant applications: + Recogniton systems of persons, characters, objects, type of scenes, logos, and other image/audio patterns. + Keywords extraction, entity recognition and classification, audio transcription, captioning and semantic content summarization. + Media content categorization, automatic video and textual summaries. + Dataset of generation and indexing of audiovisual metadata for retrieval and knowledge extraction. All these tools have been applied in several applications/products: + Enhance user experience to navigate smartly through media content. + Define and insert contextual ads by deteting the best insertion moments and understanding the content of the media as well as the target ads. + Improve user accessibility by transcribing, translating and dubbing the media content. + Automate solutions or assist the specialists with high level features extracted from the media analysis. + Monitor and track audio and video events. + High semantic summarization and segmentation through the language and image understanding.
Employees by Management Level
Total employees: 1-10
Seniority
Employees
Employees by Department
Ugiat Technologies has 6 employees across 4 departments.
Departments
Number of employees
Funding Data
Ugiat Technologies has never raised funding before.
Ugiat Technologies Tech Stack
Discover the technologies and tools that power Ugiat Technologies's digital infrastructure, from frameworks to analytics platforms.
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Miscellaneous
Operating systems
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Frequently asked questions
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