Liquid Studios is an all-in-one content engine that transforms existing audio, text, and video catalogs into multiple formats—including video, audio, and multilingual editions—while automating distribution and measurement. The platform is designed for organizations with large content archives, such as media companies, publishers, and podcast networks, to maximize reach without additional production teams. It leverages AI for voice-matched translations and machine-readable structuring to ensure discoverability across emerging AI-driven platforms.
Funding
Funding not disclosed
Founders
Product
Problem
Audiences are shifting from traditional search to AI-generated answers, making content that isn't machine-readable invisible to discovery systems. Additionally, existing content is often trapped in a single format, limiting its reach across the growing demand for video, audio, and multilingual consumption.
Solution
Liquid Studios provides a managed, all-in-one content engine that transforms existing catalogs—whether audio, text, or video—into multiple formats, including full video shows, short-form clips, natural-sounding audio, and voice-matched multilingual editions. The platform automates the entire pipeline, from ingestion and transformation to optimization and distribution, ensuring outputs are structured for both human audiences and AI discovery engines. It also includes built-in measurement, allowing performance data to feed back and improve future outputs. By handling everything from production to publishing, Liquid Studios eliminates the need for multiple point tools or large production teams.
Target Audience
Primary customers are media companies, publishers, podcast networks, and enterprise content teams with deep archives who need to scale content production across formats and languages without expanding their teams.
Features
- Automated transformation of long-form audio into fully produced video episodes and short-form clips for platforms like YouTube and social media
- Voice-matched multilingual dubbing in up to dozens of languages, preserving tone and identity without subtitles or re-recording
- AI-driven text-to-audio conversion for newsletters, articles, and backlist titles, producing natural narration with chapters and metadata
- Built-in optimization with transcripts, captions, schema, and localized metadata to ensure discoverability on both traditional and AI-driven platforms
- Managed distribution across podcast feeds, video platforms, and audiobook services, with performance analytics feeding back into the system
- Multi-layer QA pass including transcription matching, fact-checking, and brand-voice compliance, with optional human review checkpoints