DeepVA is a sovereign AI platform that helps media companies to extract meaningful information from images, videos and live streams. Gain valuable insights while reducing complexity and costs, and maintaining your preferred infrastructure requirements — whether on-premises or in the cloud.

DeepVA offers a wide range of visual and audio recognition capabilities to extract relevant information from media content and further enriching them with composite AI.

We continuously adapts to media industry needs, providing flexible, future-ready solutions for content analysis and automation.

It aggregates open-source and research algorithms, as well as its own, and supplies them via one API, along with service and support.

Deep Media Analyzer

• A powerful analysis tool for metadata extraction from file-based media.
• Extracts visual and audio features such as spoken content, named entities, faces, concepts, QR codes, and more.
• Newest Module -  Visual Understanding: Prompt-based visual understanding with structured output.

Deep Explorer

• Provides intelligent search and filtering across large datasets using extracted AI metadata (e.g. search for “Angela Merkel in front of Brandenburg Gate”).
• A highly useful tool for newsrooms and archivists, enabling semantic search

Deep Model Customizer

• Allows non-technical users to train or fine-tune custom models (e.g., for regional face- and speaker recognition or landmarks).
• Includes Few-Shot Learning and additional options for iterative model improvement.

Deep Indexer

• Enables the efficient post-processing of AI metadata across vast amounts of media.
• Useful for backlog processing or applying updated models to archived content.

Deep Collector

• A module for automated media collection and crawling, e.g. from broadcast feeds
• Important for automatically retrieving face and speaker identification datasets

Deep Live Hub

• Enabling real-time transcription, translation, and subtitling of live streams and broadcasts.
• Supports AI-powered accessibility, live content enrichment and human-in-the-loop reviewing options.