Mirage Raises $75M To Continue Building Models For Its AI Video Editing App Captions

Mirage, formerly Captions, raises $75M to build smarter AI video models, target global creators, and take on CapCut and Meta Edits.
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Mirage Raises $75M to Redefine AI Video Editing for Everyone

The AI startup formerly known as Captions has secured $75 million in fresh funding, and it is coming for the future of video creation. If you have ever wondered which AI video-editing company is quietly outpacing the competition, the answer might surprise you. Mirage is not just building another editing app. It is building the intelligence layer beneath modern video itself.

Mirage Raises $75M To Continue Building Models For Its AI Video Editing App Captions
Credit: Mirage (Image has been modified)

From Captions to Mirage: A Strategic Rebrand With Purpose

Not long ago, this company was known simply as Captions, a mobile-first video editing app gaining traction among creators. Today, it operates under the name Mirage and carries a much larger ambition. The rebrand was not cosmetic. It signals a fundamental shift in how the company sees itself: less as an app studio, more as an AI lab.

Mirage now develops proprietary models designed to handle the most nuanced aspects of video production. These include pacing, framing, and attention dynamics, the invisible forces that determine whether a viewer stays or scrolls. This kind of technical depth is rare among consumer-facing video tools, and it is one of the reasons investors are paying attention.

Why General Catalyst Bet $75 Million on Mirage

The funding round was led by General Catalyst through its Customer Value Fund, a vehicle designed to back companies with proven unit economics and clear paths to scale. Pranav Singhvi, managing director of the fund, was direct about what drew them in.

He described Mirage's business equation as fully figured out, noting that the team knows exactly how to deploy capital for strong returns. He also pointed to what he sees as an essentially unlimited addressable market. The opportunity begins with individual creators and influencers, then extends upward into enterprise advertising and marketing budgets. That kind of scalability across audience segments is exactly what growth-stage investors want to see.

The Numbers That Back the Hype

Mirage's growth story is not built on projections alone. Over the past year, its Captions app was downloaded more than 3.2 million times and generated over $28.4 million in in-app revenue, according to data from analytics firm Appfigures. The platform has also been used to produce more than 200 million videos in total.

Perhaps more telling is the geographic spread of that revenue. Only 25 percent comes from the United States. The rest flows in from an international user base, which helps explain why the company is eyeing expansion into high-growth Asian markets as part of its next chapter. Mirage is not a domestic story. It is a global one.

The Accent Problem That Sparked a New AI Model

Behind every great product decision is usually a real human problem. For Mirage CEO Gaurav Misra, that problem was personal. His father was using the app and found that every time he spoke in an Indian accent, the AI-generated audio would flatten it into an American one. That experience drove the development of Mirage's new audio model.

The model is built specifically to preserve accents in AI-generated video speech. For a platform whose users span dozens of countries and cultures, this is not a small feature. It is a statement about inclusion and authenticity in AI-generated media. Creators who have long felt sidelined by tools built for a single accent or dialect now have something designed with them in mind.

Assembly Intelligence: The Next Frontier for Mirage

Misra has spoken openly about Mirage's intention to build additional models beyond what it has released so far. The guiding concept is what the company calls assembly intelligence, which refers to the ability to automatically piece together a complete video from multiple sources and components.

This is where Mirage's ambitions become truly interesting. Rather than simply editing footage a creator has already shot, assembly intelligence would allow the system to synthesize, sequence, and structure video from disparate inputs. Think of it as moving from a smart editor to an autonomous video producer. The details are still emerging, but the direction is clear.

Taking On CapCut and Meta Edits With a Freemium Model

Competing in the AI video space means sharing a crowded arena. CapCut, backed by ByteDance, has built a massive global following. Meta's Edits app entered the market and immediately commanded attention. Mirage has chosen to compete head-on by switching to a freemium model in January 2025.

That shift opened the door to users who might have hesitated at a subscription paywall, and it allowed Mirage to grow its base faster. The company now also offers a video-creation suite that enables businesses to produce and distribute videos in bulk. This dual focus on individual creators and business clients gives Mirage a structural advantage that pure consumer tools cannot easily replicate.

Merging Mobile and Web for Small Business Video Marketing

Currently, Mirage operates across two distinct surfaces. The Captions experience lives primarily on mobile, optimized for on-the-go creators. The marketing suite runs on the web, tailored for teams and brands managing larger content operations. The company's next move is to bring these two platforms together into a single, unified product.

The target audience for this merged experience is small businesses that want to create professional marketing videos without the overhead of a production team. This is a massive and underserved segment. Many small business owners know they need video content to compete in today's social-first environment but lack the tools or budget to produce it at scale. Mirage wants to be the answer.

What Sets Mirage Apart in a Crowded AI Video Market

Plenty of companies are chasing the AI video opportunity. Some focus on generation, others on editing, and still others on distribution and analytics. What makes Mirage's positioning distinct is its combination of proprietary model development, strong unit economics, and a user base that spans creators, marketers, and enterprises.

Singhvi put it plainly: regardless of what other tools exist in the market, Mirage is clearly ahead in unit economics, and that is ultimately a reflection of its product quality. In a sector where many companies are still burning cash to find product-market fit, Mirage appears to have already found it and is now focused on scaling what works.

What Comes Next for Mirage and AI Video Creation

With $75 million in new capital and expansion targets across Asia, Mirage is entering its next phase with real momentum. The company's roadmap includes new model development, platform unification, and deeper penetration into enterprise marketing budgets.

For creators, small business owners, and marketing teams, Mirage represents something worth watching closely. AI video editing is no longer a novelty. It is becoming infrastructure. And Mirage is quietly positioning itself as the company that builds the foundation others will depend on.

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