French-American video AI startup Moments Lab has raised $24 million in a new funding round to fuel its expansion into the U.S. and accelerate development of its next-generation AI tools for video indexing and discovery.
The round was led by growth-stage SaaS investor Oxx, with participation from Orange Ventures, Kadmos, Supernova Invest, and Elaia Partners.
Moments Lab, formerly known as Newsbridge is a provider of AI-powered media asset management. Its platform allows media companies, sports rights holders, and brands to automatically index, search, and repurpose massive video libraries in order to turn inaccessible archives into monetisable content.
Clients include Thomson Reuters, Sinclair, Hearst, Amazon Ads, and Banijay.
“Bringing efficiency to organizations working with video was just the beginning. With MXT, we can parse video at scale with unmatched speed. Now we are focused on what humans can’t do, like generate rough cuts in minutes with a simple prompt,” said Philippe Petitpont, co-founder and CEO of Moments Lab.
The company’s flagship engine, MXT, is a multimodal AI that parses video into scenes and identifies people, places, actions, and even shot types.
Moments Lab is now building on that foundation with agentic AI capabilities that don’t just analyse footage but actively assist in creating stories, generating rough cuts, and pulling insights with minimal human prompting. This direction aligns with a broader trend in enterprise AI: systems that do not merely assist with workflows, but autonomously perform tasks on behalf of users.
“Enabling teams to drill down from thousands of hours of video and glean insights about a specific topic in just seconds creates enormous value,” Petitpont said. “This $24 million investment will accelerate the rollout of our agentic AI technology, which sets a new standard for intelligent video discovery.”
“Moments Lab is one of those rare companies where the product actually feels like magic,” said Gökçe Ceylan, Principal at Oxx. “The first time we saw MXT in action—pulling insights from hours of raw video in seconds - we knew this team was solving a problem that’s only getting bigger.”
The surge in video content across platforms, combined with legacy archives held by broadcasters and rights holders, has created a pressing demand for tools that can make video searchable and re-usable at scale. According to Deloitte, the global media asset management (MAM) market is expected to exceed $8 billion by 2027, driven in large part by AI-based indexing and automation.
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