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Wildmoka provides an AI-powered media platform for instant creation and distribution of live video content. It enables broadcasters, sports organizations, and media teams to rapidly clip, edit, and publish real-time event highlights across digital and social platforms. The company's technology streamlines automated workflows, ensuring efficient content delivery.
Co-founded in 2013 by Cristian Livadiotti and Thomas Menguy, its CTO, Wildmoka emerged from recognizing a critical need to accelerate live event content production. They developed a solution allowing media professionals to quickly transform broadcast streams into digital-ready assets, addressing the surging demand for immediate, shareable video experiences.
Major broadcasters, sports entities, and media groups leverage Wildmoka's platform to enhance digital presence and audience interaction. The company envisions continuously advancing its technology, empowering partners to effortlessly manage live content strategies from ingestion to multi-platform distribution. Wildmoka aims to help media professionals connect with audiences.
Wildmoka has raised $10.2M across 2 funding rounds.
Wildmoka has raised $10.2M in total across 2 funding rounds.
Wildmoka is a technology company specializing in AI-powered video clipping, editing, streaming, and hyper-distribution tools designed for broadcasters, sports organizations, and media teams. It builds a cloud-based media engine that automates the capture, processing, and publishing of live feeds, reels, and custom videos through a unified portal, solving the challenges of manual editing in fast-paced environments like news and sports.[1][2][3] The platform serves media professionals by enabling instant content repurposing—such as cropping highlights, generating metadata, segmenting broadcasts, and distributing to social platforms—with features like real-time overlays, auto-captioning, and monetization tools, driving efficiency and audience growth for clients like BFM TV and RMC BFM.[1][3][4][5] Growth momentum is evident in real-world adoptions, such as powering RMC BFM's 24/7 digital channel BFM2 in 2024, which reduced costs and enabled agile, cloud-first operations.[4]
Wildmoka emerged from a focus on live video processing, initially emphasizing speech-to-text automations, enhanced search, and handling demanding sports and media workflows from ingest to publishing.[1] The company has evolved with advancing AI and ML, shifting toward intent-based workflows, AI-powered interfaces, and features like natural language search, smart rezoning for mobile, automated transcriptions, and key moment identification, all built by media pros for media pros.[1][3] A pivotal moment includes partnering with RMC BFM to launch BFM2 in September 2024 using Wildmoka's Live Studio and Channel Studio, marking a shift to fully cloud-based, low-cost digital channels that challenge traditional broadcast models.[4] This progression reflects a commitment to practical AI solving real problems in live news and sports, with ongoing investments in security, governance, and scalability.[1]
Wildmoka rides the wave of AI-augmented media workflows and cloud-native broadcasting, capitalizing on the explosion of short-form vertical video for social and mobile amid declining linear TV viewership.[1][3][6] Timing is ideal as broadcasters face demands for real-time, multi-platform content amid breaking news and sports, where manual processes can't keep pace—Wildmoka's computer vision and ML handle unpredictability, boosting efficiency for outlets like BFM TV by eliminating dedicated mobile teams.[3][4] Market forces like rising digital ad revenue and cost pressures favor its monetization tools and OpEx reductions, as seen in BFM2's agile model.[4] It influences the ecosystem by enabling smaller teams to compete with legacy setups, fostering innovation in automated, viewer-centric distribution and paving the way for AI-first media ops.[1][3][4]
Wildmoka is poised to expand as AI interfaces and intent-based automation mature, potentially dominating live sports/news clipping with deeper integrations for emerging platforms and predictive content tools.[1][3] Trends like pervasive cloud playout and vertical-first social algorithms will amplify its edge, especially as broadcasters monetize digital streams amid cord-cutting. Its influence may evolve toward full end-to-end media orchestration, empowering more "BFM2-style" digital natives while sustaining growth through practical, scalable AI.[4] This positions Wildmoka as a linchpin in transforming reactive editing into proactive, audience-driving media engines.
Wildmoka has raised $10.2M in total across 2 funding rounds.
Wildmoka's investors include Raffi Kamber, Singular, Ryan Cook, Apicap, Bpifrance, Entrepreneurs Factory, Starquest Capital.
Wildmoka has raised $10.2M across 2 funding rounds. Most recently, it raised $8.0M Series A in January 2018.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jan 1, 2018 | $8M Series A | Raffi Kamber | Singular, Ryan Cook, Apicap | Announced |
| Dec 9, 2015 | $2.2M Venture Round | — | Apicap, Bpifrance, Entrepreneurs Factory, Starquest Capital | Announced |
