Moments Lab Raises $24M to Power the Future of AI-Driven Media Intelligence
June 20, 2025
byFenoms Startup Research
Moments Lab, the AI-powered media monitoring platform formerly known as Newsbridge, has raised $24 million in funding to fuel its international expansion and enhance its transcription and indexing engine for video and audio content. The round was backed by Oxx, Orange Ventures, Kadmos, Supernova Invest, and Elaia.
Founded by brothers Phil and Frederic Petitpont, Moments Lab is tackling one of the media industry’s biggest problems: how to automatically extract, index, and retrieve valuable moments from thousands of hours of broadcast, livestream, and archival footage.
In a world where video is exploding across every channel - from sports to politics to real-time breaking news - Moments Lab is building the infrastructure that makes it searchable, accessible, and monetizable.
What Moments Lab Actually Does
Moments Lab offers a media asset management and intelligence platform powered by its proprietary Multimodal AI indexing engine. It allows newsrooms, broadcasters, production houses, and corporate communication teams to:
- Transcribe and translate audio content in real-time
- Index and tag faces, logos, key phrases, topics, and visual elements
- Generate automatic summaries, previews, and metadata-rich archives
- Search across thousands of hours of footage in seconds
- Build highlight reels, compliance clips, or social cuts with minimal editing effort
Think of it as Google Search for media content - but purpose-built for high-volume, time-sensitive industries where speed and accuracy are paramount.
Why Media Intelligence Is a Global Imperative
As video content production explodes, the need to organize, interpret, and monetize that content becomes more urgent. Traditional manual workflows can’t keep up.
Here’s how the industry is shifting:
- Over 82% of global internet traffic is now video (Cisco Visual Networking Index)
- Newsrooms and broadcasters are generating 10x more content post-COVID, across streaming, digital, and linear formats (Reuters Institute)
- The media intelligence market is projected to reach $8.4 billion by 2028, growing at a CAGR of 14.5% (MarketsandMarkets)
- AI-driven transcription and metadata enrichment reduce video production time by up to 60%, enabling faster monetization (PwC Digital Media Outlook)
Moments Lab is tapping directly into these trends - offering a platform that helps teams not only archive and organize footage but find value in it instantly.
Why This Raise Signals Strategic Timing
$24 million is a meaningful round - and it comes at a moment when media companies are under pressure to produce more content, with smaller teams, on tighter timelines.
Moments Lab isn’t just helping them meet that demand. It’s becoming the thinking layer that separates noise from insight.
And here’s what the smartest founders will spot: Moments Lab didn’t just automate a task. It automated the questions behind the task.
Instead of asking users to search smarter, it built a system that knows what they’ll likely search for before they ask - using context, language, and scene understanding. That’s a different level of value.
Because in real operations, it’s not the manual work that kills teams - it’s the mental drag of figuring out what’s important, where it lives, and how to get to it quickly. That’s what founders miss when they fixate on “speed.”
So here’s the value drop: If your product helps users make decisions before they even articulate the problem, you’re not selling speed. You’re selling clarity under pressure.
That’s the kind of leverage organizations don’t just pay for - they replatform around. Moments Lab didn’t just improve a workflow. It reshaped what a “moment” even means in the world of content operations.
Market Outlook: The Global Need for Smart Media Indexing Is Just Beginning
The demand for AI-powered media intelligence is accelerating - not just within traditional broadcasters and newsrooms, but across industries like sports, government, enterprise communications, and law.
Here’s how the landscape is expanding:
- Over 80% of enterprise data is unstructured (Gartner), and video is one of the fastest-growing contributors - making AI indexing and retrieval essential for business intelligence.
- The global media monitoring and intelligence market is projected to grow from $4.8 billion in 2023 to $8.4 billion by 2028, with AI and automation cited as primary drivers (MarketsandMarkets).
- AI transcription and automated subtitling adoption rose over 37% in 2023 across newsrooms and content agencies, driven by accessibility mandates and multilingual delivery needs (NAB Report).
- According to PwC, global sports and entertainment producers are publishing 2.3x more video content in 2024 than they did in 2020 - yet their editorial headcounts have only grown by 15%, increasing reliance on automation tools.
- Regulatory compliance in broadcasting (such as the EU’s Audiovisual Media Services Directive and U.S. accessibility laws) is pushing more media entities to adopt searchable, multilingual, and timestamped content logs powered by AI.
From public broadcasters and OTT giants to educational platforms and political institutions, the next wave of digital media innovation won’t be about capturing more content - it’ll be about extracting the most meaning from what’s already captured.
Moments Lab sits at the core of that shift - turning hours of raw footage into searchable intelligence at scale.
What’s Next for Moments Lab?
With fresh capital secured, Moments Lab will:
- Expand its U.S. and Middle East footprint, with localized data compliance tools
- Hire across AI research, product, and media partnerships
- Deepen integrations with CMS platforms, DAM tools, and editing suites
- Launch new features for sports broadcasting, including real-time highlight detection
- Develop an open API layer for third-party tools to plug directly into their AI-indexed archive
The company also plans to invest in context-aware AI models that go beyond tags - helping clients understand not just what was said or shown, but what it meant in real time.