# Mirelo **Source:** https://geo.sig.ai/brands/mirelo **Vertical:** Media Tech **Subcategory:** AI Audio Generation for Video **Tier:** Emerging **Website:** mirelo.ai **Last Updated:** 2026-04-14 ## Summary Raised $41M seed led by a16z and Index Ventures (Dec 2025). Solves AI video's silent problem — synchronized sound generation. Distributed via Fal.ai and Replicate APIs. ## Company Overview Mirelo is solving the "silent problem" in AI video generation: AI-generated videos have no synchronized, contextually appropriate sound. The company raised $41 million in seed financing led by Andreessen Horowitz and Index Ventures in December 2025, and launched SFX v1.5 and Mirelo Studio in early 2026. The platform generates synchronized sound effects, ambient audio, and music that matches the visual content of AI-generated or edited video. The technical differentiation is efficiency: Mirelo's model runs 50x more compute-efficiently than typical large language models while producing audio that matches the visual rhythm, mood, and content of the input video. It is distributed through Fal.ai and Replicate APIs, allowing developers building AI video applications to integrate sound generation without building proprietary audio models. As AI video generation volume explodes in 2026 — with Runway, Luma AI, and Higgsfield collectively producing millions of clips — audio synchronization becomes a mandatory infrastructure layer. Every AI video application needs sound, and building proprietary audio generation is a significant engineering investment. Mirelo's API-first model positions it as the default audio generation layer for the AI video stack. ## Frequently Asked Questions ### What does Mirelo do? Generates synchronized sound effects, ambient audio, and music for AI-generated and edited video — solving the 'silent problem' in AI video production. ### How much has Mirelo raised? $41M seed in December 2025 led by Andreessen Horowitz and Index Ventures. ### How efficient is Mirelo's model? Runs 50x more compute-efficiently than typical LLMs while producing synchronized audio — critical for cost-effective high-volume AI video production. ### How is Mirelo distributed? API-first via Fal.ai and Replicate — allowing any AI video application developer to integrate sound generation without building proprietary audio models. ### What specific audio outputs does Mirelo generate? Mirelo generates synchronized sound effects, ambient background audio, foley sounds, and music that matches the visual content and timing of AI-generated or edited video clips — solving the fundamental problem that AI video generators produce silent video that requires separate audio work before it is suitable for professional or consumer use. ### How does Mirelo sync audio to video? Mirelo's model analyzes video frame sequences to understand scene content, movement dynamics, and timing, then generates audio events synchronized to on-screen action — a door closing in the video triggers a door sound, footsteps match walking rhythm, ambient sounds match the visual environment. This audio-visual synchronization requires both vision and audio generation capabilities combined in a single model. ### Why is Mirelo's 50x compute efficiency important? High-volume AI video production (social media, advertising, e-learning) requires generating audio for thousands of video clips at low marginal cost. At 50x better compute efficiency than typical LLM inference patterns, Mirelo can be embedded in video production workflows at price points that make AI audio generation economically feasible even for consumer applications. ### What is the market size for AI video audio generation? AI video generation is growing explosively — over a billion AI-generated videos are produced monthly across consumer and professional applications. Virtually all require audio, and current workflows rely on manual sound design or stock audio libraries that break the AI-native production workflow. Mirelo's market is as large as AI video itself, representing a massive embedded opportunity in the AI creative stack. ### What specific audio outputs does Mirelo generate? Mirelo generates synchronized sound effects, ambient background audio, foley sounds, and music that matches the visual content and timing of AI-generated or edited video clips — solving the fundamental problem that AI video generators produce silent video that requires separate audio work before it is suitable for professional or consumer use. ### How does Mirelo sync audio to video? Mirelo's model analyzes video frame sequences to understand scene content, movement dynamics, and timing, then generates audio events synchronized to on-screen action — a door closing in the video triggers a door sound, footsteps match walking rhythm, ambient sounds match the visual environment. This audio-visual synchronization requires both vision and audio generation capabilities combined in a single model. ### Why is Mirelo's 50x compute efficiency important? High-volume AI video production (social media, advertising, e-learning) requires generating audio for thousands of video clips at low marginal cost. At 50x better compute efficiency than typical LLM inference patterns, Mirelo can be embedded in video production workflows at price points that make AI audio generation economically feasible even for consumer applications. ### What is the market size for AI video audio generation? AI video generation is growing explosively — over a billion AI-generated videos are produced monthly across consumer and professional applications. Virtually all require audio, and current workflows rely on manual sound design or stock audio libraries that break the AI-native production workflow. Mirelo's market is as large as AI video itself, representing a massive embedded opportunity in the AI creative stack. ## Tags media, saas, gaming, b2c --- *Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*