Mirage raises $75M in growth financing from General Catalyst. Mirage has secured $75 million in growth financing from General Catalyst's Customer Value Fund to advance its proprietary AI models for the Captions video editing app, drive international expansion with a strong focus on Asia, and integrate its mobile and web platforms. Mirage, the New York-based AI video company behind the Captions app, has closed a $75 million growth financing round from General Catalyst's Customer Value Fund. This brings the company's total capital raised to more than $175 million and marks a pivotal step in its evolution from a consumer video editing app into a full stack AI video platform and research lab. What is Mirage's main focus? The round underscores Mirage's transition to a broader mission: redefining video creation through frontier AI models that handle everything from idea to polished production. Captions remains the consumer facing flagship, an "all in one" mobile first editor and generator that turns raw footage, scripts, or text prompts into professional videos complete with AI avatars, automated captions, dynamic visuals, audio, and now agentic editing capabilities where AI acts as a skilled director. The company has also launched a web based marketing suite for bulk video generation and distribution, targeting small businesses, creators, and enterprises in advertising and social media. Proprietary models underpin these tools, including an audio foundation model that preserves natural accents (addressing international user needs) and emerging "assembly intelligence" systems that intelligently compose videos from disparate sources, pacing, framing, and attention dynamics optimized for short form content. Traction validates the strategy. Captions has been downloaded more than 3.2 million times in the past year and generated roughly $28.4 million in in-app revenue during that period. Cumulatively, users have created over 250 million videos. The platform serves more than 20 million global users, ranging from individual creators and influencers to marketing teams at companies like HubSpot and CoreWeave, as well as small businesses worldwide. Only 25 percent of revenue comes from the U.S., highlighting strong international adoption. A shift to a freemium model in early 2025 accelerated growth, proving product market fit in a crowded space while maintaining healthy unit economics. The $75 million infusion, structured as growth financing from General Catalyst's Customer Value Fund (designed for companies with proven distribution and capital efficient ROI), will fuel parallel advances in product and expansion. On the technology side, Mirage will deepen investment in agentic video systems and additional foundation models to push beyond basic editing into autonomous, prompt driven creation pipelines. On the growth front, the capital targets aggressive international scaling, particularly Asia, where user demand has been described as "extraordinary." Plans also include tighter integration of the mobile Captions experience with the web marketing suite, creating a unified platform that serves both everyday creators and enterprise scale video needs. This financing arrives at a strategic inflection point in the AI video sector. Short form content dominates social platforms, digital advertising budgets continue shifting toward video, and demand for accessible creation tools has exploded. Mirage differentiates itself through its focus on efficient customer acquisition, strong monetization from day one, and models tailored for real world use cases like accent preservation and professional grade assembly. While competitors such as CapCut, Meta's Edits, Canva, HeyGen, and D-ID pursue similar spaces, Mirage's leadership in unit economics and its pivot to an AI lab model position it to capture value across the creator to enterprise spectrum, an effectively infinite total addressable market. General Catalyst's involvement signals confidence in Mirage's ability to translate AI innovation into sustainable, scalable revenue. As CEO Gaurav Misra noted, the new capital accelerates a moat built on distribution speed and capital efficiency rather than product features alone, an edge sharpened by AI's rapid development cycle. By merging consumer virality with enterprise grade tools and proprietary models, Mirage is poised to lead the next wave of video AI, where anyone with something to say (or sell) can produce broadcast quality content at scale. The round not only validates current momentum but equips the company to outpace rivals in global reach and technological depth over the coming years. Please email Superbcrew your feedback and news tips at hello(at)superbcrew.com

D-ID launches V4 Expressive Visual Agents for real-time, llm-connected interaction at enterprise scale. V4 Avatars combine low-latency and highly cost-effective performance, diffusion-powered expressive delivery, and consistent identity for real-time user engagement and long-form enterprise video. D-ID, a leader in enterprise-grade AI avatar solutions, announced the launch of V4 Expressive Visual Agents, a new generation of ultra-high-fidelity digital humans designed for real-time, LLM-connected conversations, as well as scripted long-form enterprise video content. Built on a new diffusion-based model, and trained on performances captured from real actors, V4 Expressive Visual Agents deliver faster generation, low latency (sub-0.5-second) conversational turns, and highly accurate lip sync, in up to 4K resolution, enabling expressive, natural interactions that scale reliably across enterprise use cases. Available today to 1,500 enterprise customers and millions of subscribers, V4 Avatars are engineered specifically for low-latency delivery, making them suitable for real-time, conversational experiences, as well as longer-form content such as training modules, explainers, and multilingual educational videos. To date, more than 800,000 visual agents and 300 million non-interactive avatars have been created using previous D-ID models. At launch, V4 Expressive Visual Agents are available to users on all D-ID plans, starting from as little as $5.90 a month, showcasing the groundbreaking cost efficiency of the V4 AI model. Research shows that humanlike facial cues improve knowledge transfer, retention, and comprehension. As a result, enterprises are increasingly adopting high-fidelity avatars for onboarding, training, customer engagement, and internal communications, particularly where clarity, trust, and consistency matter. Mar 16, 2026 Prev Next 1 of 42,656 V4 Expressive Visual Agents are the first high-quality expressive avatars to dynamically align with selected sentiments, ensuring that tone and intent match the underlying message. This allows spoken content to land clearly and confidently, with natural pacing and emphasis. They are designed to act as a visual interface layer for AI systems, enabling real-time, two-way interactions rather than one-way video playback. As an LLM responds, the avatar automatically adapts facial expressions and delivery based on context and sentiment, so empathy looks empathetic, urgency feels urgent, and confidence reads as confidence. This makes both customer-facing and employee-facing agents more natural, trustworthy, and effective. V4 Expressive Visual Agents also add an optional camera layer that enables real-time sentiment awareness, feeding nonverbal cues into both the LLM response and the avatar's expressive delivery, including tone and facial expression. In addition, V4 Expressive Visual Agents can surface interactive UI elements inline during the conversation, to share contextual visuals such as images, charts, and video, as well as structured interactions like forms and quizzes, enabled via D-ID's MCP Apps. Unlike short-form video generation tools optimized for cinematic clips lasting only seconds, V4 Avatars are designed for continuous, consistent output. Enterprises can generate minutes or hours of video with a stable avatar identity, as well as run real-time conversations at scale, at a fraction of the price (70x cheaper than Google VEO 3 Fast), making it far more cost-effective for courses, explainers, multilingual training, and repeatable content series. These savings compound when it comes to real-time interactions, costing pennies per chat when using D-ID. "We have come a long way since our first models that delighted the world by turning still images into talking portraits," said D-ID Co-founder and CEO Gil Perry. "Today, with V4, we're setting a new benchmark for avatar fidelity and performance while keeping it fast enough for real-time conversations and consistent, efficient and secure enough for enterprise scale. This advancement in avatar technology positions D-ID as the frontrunner in providing the visual interface layer for the next wave of AI adoption as businesses seek to make interactions more natural and humanlike." Following the acquisition of simpleshow in September 2025, D-ID expanded its enterprise distribution footprint and integrated its AI avatar capabilities into simpleshow's corporate training and explainer video ecosystem. Since then, D-ID's ARR has grown by 250%, reflecting cross-sell expansion and increased enterprise demand for interactive AI-driven video.

D-ID has launched V4 Expressive Visual Agents, a new generation of AI avatars designed for real-time conversations and enterprise video content. Built on a diffusion-based model trained on actor performances, the avatars deliver sub-0.5-second conversational turns with highly accurate lip sync in up to 4K resolution. Available to 1,500 enterprise customers, V4 avatars dynamically align facial expressions with sentiment and can integrate with large language models for natural interactions. The technology is 70 times cheaper than Google VEO 3 Fast, with pricing starting at $5.90 monthly. D-ID has created over 800,000 visual agents and 300 million avatars using previous models. Following its September 2025 acquisition of simpleshow, the company's annual recurring revenue has grown 250 percent, driven by enterprise demand for AI-driven video solutions.