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Short‑form video has become one of the most crowded arenas for AI, with startups and incumbents racing to build tools that can script, shoot, and edit clips at scale. Mirage, the company behind the Captions video‑editing app, just picked up fresh capital to double down on building its own models rather than relying on off‑the‑shelf tech.
Mirage has raised $75 million in growth financing from General Catalyst’s Customer Value Fund (CVF), the firm’s vehicle for backing portfolio companies that show strong traction with customers. The funding comes as the startup continues a strategic shift from being known primarily for its mobile app to positioning itself as an AI lab building models for video creation and editing.
Over the past year, the company has rebranded from Captions to Mirage, expanded into marketing and advertising use cases, and started talking more explicitly about its internal model roadmap. The bet is that owning key video and audio models will help Mirage stand out in a market where multiple companies offer similar editing interfaces and templates.
From Captions app to Mirage AI lab
Mirage’s roots are in Captions, a mobile‑first app known for making it easy to shoot and edit social‑ready videos with features like automatic captioning, translations, and simple edits. As competition from tools like ByteDance’s CapCut and Meta’s Edits intensified, the team began repositioning the company as a broader AI player rather than just a consumer app.
The rebrand to Mirage reflects that shift. Instead of being defined by a single app, the company now describes itself as an AI lab that trains and deploys models for different video workflows, from creator tools to marketing suites for businesses.
Part of that strategy is building models tailored to short‑form video. Mirage has trained a model specifically for pacing, framing, and attention dynamics in short clips, reflecting the reality that a lot of video today is consumed in vertical, fast‑moving feeds. Rather than treat video as just a series of images, the company is trying to learn what makes a sequence engaging over a few seconds.
Competing with CapCut, Edits and others
In January 2025, Mirage shifted Captions to a freemium model, a move designed to better compete with rivals that already offered free tiers. CapCut, owned by TikTok parent ByteDance, and Meta’s Edits product both give users powerful editing tools without an upfront price, making it harder for paid‑only apps to grow.
Mirage now offers a broader video‑creation suite that targets companies as well as individual creators. That suite lets teams create and distribute videos in bulk, bringing some of the original Captions features into a workflow better suited to marketing departments and agencies.
The competitive field is busy. Canva has rolled out a range of tools for marketing video creation and tracking, while startups like D‑ID, HeyGen, Webflow (via its acquisition of AI content generation platform Vidoso) and Avataar are also building AI‑driven video pipelines. Many of these tools focus on avatars, product videos, or templated marketing content.
General Catalyst’s Pranav Singhvi argues that Mirage stands out not just on features but on business fundamentals. He points to what he calls a well‑understood “business equation,” saying Mirage knows how to deploy capital to acquire users and generate attractive returns, and that its target market—from creators and influencers to enterprises—is effectively “an infinite total addressable market.”
Building models for “assembly intelligence”
Looking ahead, Mirage wants to invest more in what co‑founder and CEO Gaurav Misra calls “assembly intelligence.” Instead of generating an entire video from scratch, the idea is to build models that can assemble a finished clip from multiple sources and components: footage, images, audio, and existing assets.
Misra did not detail the next models on Mirage’s roadmap, but the framing suggests tools that are good at stitching together and transforming material rather than only producing synthetic content. That matches how many creators and marketers work today, combining recorded footage with b‑roll, graphics, and voiceovers.
Audio is already a focus. Mirage has developed an audio model that aims to preserve users’ accents in generated videos, addressing a real pain point for its international base. Misra cites his own father as an example, noting that earlier tools tended to normalize speech into an American accent even when the user spoke with an Indian accent.
The company saw “a gap in accents” because so many users were outside the U.S., and preserving how people actually sound became part of its differentiation. In a global creator economy, sounding like yourself can matter as much as looking like yourself.
Traction and usage signals
Usage metrics suggest Mirage and Captions have found a substantial audience. According to analytics firm Appfigures, the Captions app has been downloaded more than 3.2 million times over the last 12 months and generated $28.4 million in in‑app revenue. Misra says users have created more than 200 million videos on the platform so far.
One notable datapoint is how international the business already is. Only about 25% of Mirage’s revenue comes from the U.S., indicating that a majority of paying users are in other markets. That global footprint helps explain the focus on accent preservation and on expansion into high‑growth Asian markets.
The company currently splits its product surface between a web‑based marketing suite and the mobile‑first Captions editor. Mirage plans to merge these two experiences over time so that small businesses looking to create marketing videos can move more seamlessly between creation, editing, and distribution.
Where the new capital goes
The $75 million from General Catalyst’s Customer Value Fund is meant to fuel both model development and go‑to‑market expansion. On the product side, Mirage plans to keep building specialized models for video pacing, assembly, and audio, with an eye toward giving users more control and higher‑quality outputs.
On the business side, the company is leaning into its dual identity as both a creator tool and an enterprise‑facing marketing solution. The strategy Singhvi describes—starting in the creator and influencer world and then using that momentum to sell into enterprises—is a familiar pattern in SaaS, but one that may be especially potent in video, where companies often follow the tooling their customers and ambassadors already use.
With plenty of competitors chasing the same brands and agencies, Mirage’s ability to keep shipping differentiated models and maintain strong unit economics will matter as much as its product roadmap. For now, the fresh capital and clear traction give it room to try to stay ahead in a fast‑moving market where AI‑powered video tools are becoming a baseline expectation rather than a novelty.
Jason Miller is a Staff Writer at futureTEKnow, focusing on AI infrastructure, MLOps, and the platforms that help teams run models reliably at scale.
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