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AdPipe Raises $12M Series A to Scale Authentic Video Creation with AI

AdPipe, the Atlanta-based video automation startup, has raised $12 million in Series A funding to expand its AI-powered platform that helps brands repurpose and scale authentic video content.

The round was led by LGVP, with participation from Emery Wells (founder of Frame.io), Atlanta Ventures, Tom Noonan, Engage VC, and other strategic investors. The company plans to use the funds to accelerate product innovation, expand enterprise adoption, and grow its new headquarters in South Downtown Atlanta.


The Bottleneck in the Video Economy

Video dominates digital storytelling -  yet most footage shot by brands never sees the light of day. Research from Wyzowl (2025) estimates that 91% of businesses now use video for marketing, but up to 60% of recorded assets remain unused due to editing costs, time constraints, or workflow inefficiencies.

AdPipe exists to change that. Its AI engine turns unused video assets into ready-to-publish content -  scaling campaigns across social, web, and ad channels without requiring massive production budgets. The result:

Brands like UPS and Delta have already used AdPipe to repurpose hours of unused footage into high-performing campaign content.


The Shift from Production to Utilization

For years, marketing teams have been obsessed with production -  new shoots, new concepts, new storyboards. But in today’s content-saturated economy, production isn’t the bottleneck anymore -  distribution intelligence is.

That’s where AdPipe stands apart. Its platform doesn’t just automate editing -  it learns how footage performs, categorizes it by theme and audience fit, and automatically assembles new versions optimized for different markets, demographics, or platforms.

Here’s the key insight founders should pay attention to: AdPipe isn’t selling creativity -  it’s selling compound efficiency.

The transition from tools that create content to systems that compound knowledge about what works.

In every industry, not just media, the real leverage comes from the feedback loop -  when every action your user takes improves your product’s intelligence. AdPipe’s AI doesn’t just edit faster; it learns what kind of footage drives engagement, what pacing works best per platform, and which edits align with specific audiences. Each campaign refines the next.

That’s the kind of compounding most founders dream about: a system that gets smarter, not just faster, with every use.

Founders often chase linear output -  more features, more customers, more revenue. But what makes products like AdPipe defensible is compounding output -  where every client action feeds a loop that improves everyone else’s results.

So the real play isn’t “video automation.” It’s data gravity. Every uploaded clip, every repurposed segment, and every engagement metric strengthens AdPipe’s recommendation layer -  turning video editing into an intelligent, self-improving infrastructure.

That’s a lesson worth internalizing: in SaaS, the most scalable products don’t just serve workflows -  they learn from them.


The Founder & Vision

AdPipe was co-founded by Andrew Levy, who saw firsthand how much brand footage goes to waste. His background in both media and AI strategy shaped AdPipe’s vision: transform how enterprises view creative assets, from static expenses into renewable resources.

In a statement, Levy said, “Companies are sitting on terabytes of authentic video -  interviews, product demos, customer stories -  that never get used. AdPipe gives that content a second life through automation, personalization, and measurable ROI.”

With this new round, AdPipe plans to deepen integrations with enterprise systems like Adobe Creative Cloud, HubSpot, and Salesforce, ensuring companies can automatically pull, tag, and deploy content without ever opening an editor.


The Video AI Market Is Heating Up

The global video marketing software market, valued at $15.9 billion in 2024, is projected to reach $48 billion by 2030, according to Grand View Research (2025). That growth is fueled by the rapid adoption of AI tools for personalization, localization, and creative analytics.

Meanwhile, Statista reports that 70% of marketers now say AI-assisted editing is crucial to staying competitive -  a figure that’s nearly doubled since 2022. However, only a fraction of enterprise teams have fully automated their content pipelines.

That leaves a massive gap: large brands have abundant video libraries but no infrastructure to turn them into agile marketing engines. AdPipe is positioning itself squarely in that space -  the connective tissue between creative assets and campaign execution.


The Strategic Edge: From Tools to Infrastructure

AdPipe’s technology is built around a concept it calls “Authentic AI.” Unlike generative tools that synthesize new visuals, AdPipe repurposes real, brand-owned footage, maintaining the authenticity that consumers increasingly crave.

It’s a subtle but powerful differentiation. In an era where 71% of consumers say they trust real videos over AI-generated ones (Nielsen, 2025), AdPipe’s focus on reusing genuine footage gives brands both ethical transparency and creative control.

The company’s roadmap includes expanding into AI-driven localization, helping enterprises translate and tailor content for global audiences automatically -  a market segment expected to exceed $20 billion by 2029 (IDC).


What’s Next for AdPipe

With fresh capital, AdPipe will:

Levy’s long-term vision is bold but clear: to make AdPipe the “content infrastructure layer” of the modern enterprise -  a system that not only manages footage but continuously learns how to use it better.


Why This Matters

Video isn’t just marketing anymore -  it’s becoming the default format for brand communication, internal collaboration, and customer education. The companies that thrive in this landscape won’t be the ones creating the most content, but the ones building intelligent systems that reuse, refine, and optimize it.

For founders, AdPipe’s Series A round is a reminder that real innovation often hides in the unsexy layers -  workflow intelligence, automation logic, and asset routing - where efficiency quietly compounds into dominance.



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