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Profuz LAPIS “is more than just another digital media asset management system that integrates AI — it is a sophisticated orchestration platform that coordinates AI-powered tasks in powerful symphony,” the company says. “Instead of simply running different AI engines independently, LAPIS skillfully strategizes an organization’s entire workflow by distributing and coordinating tasks across multiple AI processing engines, creating an efficient masterpiece.”
Traditional AI-powered media asset management systems tend to treat AI engines as separate tools, resulting in a more fragmented outcome that requires time-consuming manual intervention. LAPIS, however, “harmonizes AI capabilities into a unified workflow, where data is processed in layers and enriched at every stage. LAPIS brings cumulative benefits rather than working in isolation, so that each AI engine’s output enhances overall results. LAPIS combines data from multiple sources — such as speech recognition paired with face detection in order to create richer and more accurate insights.”
Already adopted by many organizations such as Canal+ France, Council of Europe, Bulgarian National Radio and others, Profuz LAPIS is designed to organize media assets that include movies, documentaries, series, clips, and promotions for categorization, advanced searching, filtering, meta data tagging and sorting, “by offering centralized, secure, and reliable efficiency in one powerful elegant solution, streamlining workflows and boosting productivity,” the company adds.
New additions in Profuz LAPIS to be presented at IBC include the new “Multi-AI Processing Integration” feature that seamlessly manages the correlation of various AI engines for transcription, translation, object detection, face recognition and more. “The LAPIS system delivers optimized performance by distributing workloads efficiently, LAPIS minimizes processing time while maximizing accuracy, ensuring that organizations can work faster and smarter,” Profuz says.
In addition, LAPIS now features “Smart Task Distribution” which means it does not need to rely on one single AI engine, but instead, analyses the nature of each task and assigns it to the most suitable available engine. For example, “speech-to-text” tasks may be directed to a particular specialized engine, while another engine might manage complex translations. An illustration of how the Smart Task Distribution works in LAPIS is that it selects the most suitable engine based on metrics such as language, category, genre and so forth. An English comedy series handled by one engine, while at the same time, a Dutch science documentary managed by another is a working example in play. Confidential material is selected and managed sensitively too in LAPIS with appropriate engines chosen for in-house processing, and others for cloud engines.
Other new features and capabilities added to the LAPIS system since NAB2025 to be showcased at IBC include: subtitle translation with intelligent time slot management; voice synthesis obtained from timed texts; speaker identification within speech-to-text; multiple optional servers for AI and media processing such as transcription, translation, object detection, face recognition, text extraction, conversion, transcoding and others, that include intelligent distribution of tasks.
Other functionalities include volume meter and slow-motion control tools in the media player, image, audio and text file editors and a brand new timeline media editor and more. A comprehensive list of what’s new in LAPIS for IBC 2025 is available here.
The post IBC: Profuz LAPIS To HIghlight AI-Choreographed Workflow Symphony appeared first on TV News Check.
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