> SYSTEM_NODES // AFFILIATIONS
SYSTEM INITIALISED // STATUS: ONLINE
> A multidisciplinary R&D lab bridging academic rigour and impactful industry application through open, interoperable systems and cognitive technologies.
DOKUMENTA.VIDEO bridges the gap between traditional media preservation and modern cognitive computing. We engineer systems that transform unstructured, legacy audiovisual collections into discoverable and highly structured data.
Rather than simply digitising tape, we deploy applied AI—leveraging Computer Vision, Speech Recognition, and Natural Language Understanding (NLU)—to unlock the inherent cultural and historical value hidden within vast media archives.
Structuring and organising complex archival data for seamless, intuitive retrieval.
Strategic and technical advice on implementing Speech Recognition and Computer Vision.
Curriculum development, training programmes, and active industry mentoring.
Comprehensive evaluation, triage, and project management for fragile media archives.
> A London-based Principal Architect and archive practitioner with over two decades of experience driving digital innovation across the technology, media, and cultural heritage sectors. Consulting for organisations such as the BBC, IBM, and Google, his work focuses on the intersection of audiovisual preservation, artificial intelligence, and open systems.
> Trained at the BBC in broadcast operations and holding an MA in Documentary Research for Film and TV (UAL), José specialises in bespoke Media Asset Management (MAM) systems, OTT media, and the ethical application of AI—including Retrieval-Augmented Generation (RAG)—to reshape cultural memory and reclaim marginalised narratives.
Recognised with the 2019 IBM Watson Media Award for innovative use of AI in media archives, showcasing early applications of RAG at IBC 2019.
Led the 'Black Lives' project (FIAT/IFTA 2020), digitising obsolete formats to preserve narratives from Eartha Kitt and Quincy Jones, alongside experimental AI audio preservation (ICCROM 2025).
Since 2016, José has served as an Associate Lecturer on the Digital Humanities Master's programme at the Universidad Pablo de Olavide (Seville). He also partners with UAL: LCC, Cardiff School of Journalism, and Open Cinema.
> SYSTEM_NODES // AFFILIATIONS
Incoming Transmission> "Archivists and record-keepers are not traditionally considered stakeholders when it comes to discussions connected to the development and the implementation of AI solutions. And yet, they will need to advise decision-makers on the preservation of algorithms as well as understand how to manage the significant ethical challenges posed by these emerging cognitive technologies."
> As the role of data in business and academia expands beyond anything the world has seen, archival workforce AI training becomes an urgent requirement.
> DOKUMENTA.VIDEO is committed to addressing this digital skill gap in the archivist profession, particularly in emerging countries, helping students, professionals, and organisations build critical technology skills and competencies in the areas of Cloud, Big Data, and AI.
"Jose is an accomplished and innovative technologist who effervescently works with customers and partners who are delighted with his technical acumen and easy grasp of their environments. He is an industry expert on the application of AI to unlocking the inherent value in media archives."
Tom Ohanian
Academy Award® & Emmy® recipient
"Jose interweaves his deep digital media archiving & management skill set with his extensive computer savoir-faire seamlessly. His technical background facilitates the know-how to develop innovative data and text mining algorithms for the extraction of extremely relevant information from well-organized records."
Prof. Domingo S. Rodríguez Baena
Universidad Pablo de Olavide, Seville
"Jose has been a great point of interaction with IBM as we were exploring the capabilities of Watson. He can explain systems and processes from low to high level as an expert in archive searchability and accessibility. Definitely an asset to any project!"
Spencer Marsden
R&D Engineer, BBC Blue Room
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