The French startup Moments LAB (ex Newsbridge) has just secured funding of 24 million euros to accelerate the deployment of its AI specializing in indexing and enhancement of video content. With its MXT-2 technology, the company stands out as a key player in a high tension market where the management of video libraries becomes a major strategic issue for the media, brands and content producers.
TL; DR – an AI to tame large -scale professional video flows
👥 For whom is it important?
- For media groups, global brands, advertising platforms and video content producers
- For editorial teams, marketing and archivists faced with massive video libraries
- For investors, CTOS and innovation directors in the Media Tech sector
💡 Why is it strategic?
- Lab moments offers a multimodal and agentic AI to index, search and monetize videos
- The IA video analysis market will reach $ 25 billion by 2028, with few structured European players
- The tool allows massive reduction in processing time and increased recovery of archives
- Personalization of results makes it a credible alternative to generic American solutions
🔧 What it changes concretely
- Generation of raw montages in a few minutes on simple prompt
- Automatic extraction of key moments, interviews and monetitable sequences
- Fluid integration in media workflows, with personalization as editorial needs
- Doubly of the annual recurrent turnover and adoption by Amazon Ads, Reuters, Banijay
Founded in 2016, Moments LAB has given itself the mission of resolving a paradox which has become common in content companies: having thousands of hours of video without knowing how to exploit them effectively. Its owner technology, a multimodal AI called MXT, allows you to analyze video flows in real time, cut them into relevant scenes, recognize people, actions, places, and even the types of plans used. The tool identifies the highlights of a speech, a match or a report, and can generate a raw montage in a few minutes from a simple textual request.
“” Bringing efficiency to teams working on video was just a starting point Says Philippe Petitpont, CEO and co -founder. “” With MXT, we can analyze video on an industrial scale, with unequaled speed. Today, we are going further: we focus on what humans cannot do, like generating a pre-assembly in a few minutes on simple prompt. »»
In a context of saturation of audiovisual content, Lab moments is part of a booming technological dynamic. The global IA -based video analysis solutions market is estimated at $ 25 billion by 2028, compared to 5.5 billion in 2022, according to Marketsandmarkets. But the majority of current solutions remain limited to specific tasks, transcription, tagging or generation. Lab moments is distinguished by the complete integration of an AI capable of understanding, structuring and re -exploiting large -scale content, in a demanding professional framework.
With the development of an AI agent dedicated to video, the company takes an additional step. The tool, currently in BETA version, allows editorial, advertising or documentary teams to interact with their video libraries as they would with a collaborator, by asking questions, defining a brief or generating a first ready -to -publishing assembly.
For Gökçe Ceylon, principal at Oxx, who leads this round, Lab moments meets a critical need: ” Lab moments is of these rare companies whose product is magic. The first time we saw MXT extract insights of rush hours in a few seconds, we knew that this team was attacking a structural and growing problem. »»
The company claims a strong growth customer portfolio, with references such as Amazon Ads, Thomson Reuters, Hearst, Sinclair Or Banijay. By doubling his recurring turnover in one year, Lab moments confirms the solidity of his B2B model, focused on large media groups and global brands.
Competitively, Lab moments benefits from a differentiating position in Europe. In Germany or Sweden, actors like Aiconix Or Vionlabs focus on transcription or emotional analysis. In the United States, companies like, Veritone Or Descript Dominate certain segments (automated assembly, progress, transcription), but little offer a complete analysis, contextualization and video reuse channel in a corporate framework.
Unlike “creation” or “generation” oriented tools, Labs targets the Strategic reprocessing of existing contentwith strong adaptability to the editorial or commercial tone of its customers. An approach that turns out to be particularly relevant for actors managing deep archives or complex flows to monetize.
“A quality indexing metadata is the base of a fluid user experience with an IA agent” underlines Fred Petitpont, co -founder and CTO. “” This is exactly what we offer with MXT and our agent, which has largely exceeded expectations in BETA version. Some customers tell us that it is like having an additional team member. »»
