{"id":2239,"date":"2025-09-02T06:53:27","date_gmt":"2025-09-02T06:53:27","guid":{"rendered":"https:\/\/gyrus.ai\/blog\/?p=2239"},"modified":"2026-01-23T10:07:09","modified_gmt":"2026-01-23T10:07:09","slug":"tecla-systems-gyrus-ai-partner-bring-next-gen-semantic-media-search-media-hive-mam-at-ibc","status":"publish","type":"post","link":"https:\/\/gyrus.ai\/blog\/tecla-systems-gyrus-ai-partner-bring-next-gen-semantic-media-search-media-hive-mam-at-ibc\/","title":{"rendered":"Tecla Systems and Gyrus AI Partner to Bring Next-Gen Semantic Media Search to Media Hive MAM at IBC."},"content":{"rendered":"

Gyrus AI<\/a> and Tecla System<\/a> are pleased to announce a partnership that integrates Gyrus\u2019 contextual media search<\/a> capabilities into Tecla\u2019s MediaHive<\/a> MAM platform, which will be showcased at IBC 2025 in Amsterdam (Booth 1.F14).<\/span>\u00a0<\/span><\/p>\n

\u00a0<\/span>As more and more video content hits the market<\/span>s<\/span> with shrinking production timelines, this technology partnership provides broadcasters, production houses, and content creators <\/span>with <\/span>a way to find, <\/span>organise<\/span>, and <\/span>monetise <\/span>media assets more easily.<\/span>\u00a0<\/span><\/p>\n

By automatically generating rich metadata, transcripts, and contextual relationships, the system removes the need for manual tagging and enables instant retrieval of the right clips through natural language queries or object-level searches.<\/span><\/span><\/span><\/p>\n

MediaHive\u2019s web-based, storage-agnostic platform manages <\/span>the <\/span>capture, discovery<\/span>,<\/span> and<\/span>,<\/span> storage<\/span> of content and data<\/span>, <\/span>with seamless integrations into Adobe,<\/span>\u00a0Avid, and other post-production tools<\/span>, <\/span>deliver<\/span>ing data-driven automated workflows<\/span> to monetise content<\/span> efficiently<\/span>.<\/span><\/p>\n

\u00a0<\/span>With the integrated solution, <\/span>MediaHive<\/span> users can quickly discover the most relevant clips from large video libraries using natural language queries. The system automatically enriches metadata across archives, eliminating the need for time-consuming manual tagging, while providing flexible deployment options on-premises, in the cloud, or in hybrid configurations. Through a simple browser-based interface, teams can manage entire workflows\u2014from capture and search to editing, packaging, and final delivery.<\/span><\/p>\n

Importantly, the integration also addresses the cost challenge many <\/span>organisations <\/span>face. The semantic search capability runs up to 80% faster and <\/span>is <\/span>as much as 10<\/span>x<\/span> times<\/span> more cost-efficient compared to traditional metadata-heavy or LLM-based approaches<\/span> –<\/span>,<\/span> without compromising accuracy.<\/span>\u00a0<\/span><\/p>\n

\u00a0<\/span>“The ability to locate the right content at the right time is critical for broadcasters and media companies,”<\/span><\/i> said Chakra Parvathaneni<\/a>, Co-Founder and CEO of Gyrus AI. <\/span>\u201cBy bringing our intelligent search into MediaHive, we\u2019re helping customers not only manage their content but also extract real value from it.\u201d<\/span><\/i>\u00a0<\/span><\/p>\n

Paul Wilkins<\/span><\/span><\/span>,<\/span><\/span><\/span> Tecla<\/span><\/span><\/span> System\u2019s Director of Products<\/span><\/span><\/span>,<\/span><\/span><\/span> added:<\/span><\/span> \u201c<\/span>MediaHive<\/span> was built to give users simplicity and scalability in managing assets. Partnering with Gyrus strengthens our vision – making archives more discoverable, workflows more efficient, and <\/span><\/span>helps our clients unlock the value of their archives<\/span><\/span><\/span><\/p>\n

About Tecla System<\/span><\/span>\u00a0<\/span>:<\/h2>\n

About Gyrus:\u00a0<\/span><\/span><\/h2>\n

Gyrus develops advanced AI-powered Video Intelligence Models that help media and entertainment companies save time, cut costs, and unlock new revenue. Its Semantic Media Search integrates with any MAM\/DAM, works on-prem or in the cloud, and enables contextual scene discovery – up to 80% faster and 10x more cost-effective than traditional metadata or LLM-based tools. Gyrus also offers Virtual Product Placement technology that seamlessly inserts 2D\/3D ads into video scenes, enabling broadcasters to monetize content and brands to achieve higher viewer engagement. Find out more at <\/span><\/span>www.gyrus.ai<\/span><\/span><\/a>\u00a0<\/span><\/span>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

Gyrus AI and Tecla System are pleased to announce a partnership that integrates Gyrus\u2019 contextual media … Tecla Systems and Gyrus AI Partner to Bring Next-Gen Semantic Media Search to Media Hive MAM at IBC.<\/span>Read more<\/a><\/p>\n","protected":false},"author":13,"featured_media":2250,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[154],"tags":[148,156,142,121,153,155],"class_list":["post-2239","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-press-release","tag-ai-media-search","tag-ibc-2025","tag-intelligent-media-search","tag-media-asset-management","tag-semantic-media-search","tag-tecla"],"yoast_head":"\nTecla and Gyrus AI Bring Semantic Media Search to IBC 2025<\/title>\n<meta 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Tecla System develops modular, cloud-ready solutions for the broadcast and media industry. Its flagship <\/span>MediaHive<\/span><\/a> MAM platform provides scalable asset management with integrated workflows for ingest, editing, storage, playout, and distribution. With customers across Europe and beyond, Tecla System is r<\/span><\/span>ecognised <\/span><\/span><\/span>for delivering simplicity, scalability, and innovation to the entire media supply chain. Learn more at <\/span><\/span>www.teclasystem.com<\/span><\/span><\/a><\/p>\n