
Mosaic is an AI video editing platform that redefines video production by putting agentic automation at the core. Built for marketing teams, content agencies, and professional creators, it replaces manual timeline edits with a visual, node-based canvas where entire editing workflows—from rough cuts to final motion graphics—can be defined, saved, and replayed. This platform enables anyone to automate repetitive tasks, apply consistent brand styles, and scale video output without increasing headcount. By combining a flexible canvas interface with powerful AI agents, Mosaic delivers a new paradigm: edit once as a template, then let agents or triggers execute that edit across hundreds of assets in minutes.
The video editing landscape remains dominated by tedious, repetitive manual work. Teams spend countless hours on tasks like rough cutting long footage, reframing for vertical formats, adding motion graphics, and transcoding deliverables. For publishers like NewsUK’s talkSPORT, this bottleneck limited the volume of social clips they could produce from radio shows. Mosaic eradicates this pain point by turning editing into an automated workflow. Users define their preferred editing steps once on the canvas, then let the platform execute them programmatically or via triggers, slashing production time from hours per video to seconds per variant. The result is a dramatic increase in output—talkSPORT tripled its vertical video production after adopting Mosaic—without requiring additional editors or overtime.
At the heart of Mosaic lies the Canvas, a visual node-based editor that lets users construct automated video editing pipelines. Each node represents a specific editing operation—such as rough cut, clip extraction, reframing, AI avatar insertion, or transcoding—and can be connected in any order to form a complete workflow. This no-code interface empowers editors to design once and run infinitely: a single canvas template can process hundreds of source videos, applying the same creative decisions consistently. The canvas also integrates AI editing functions that leverage multimodal agents, like those built on Gemini 2.0 Flash, to interpret natural language prompts and perform complex edits in seconds. Whether you need to isolate key moments from a podcast or resize a widescreen ad for social stories, the Canvas turns editing logic into a repeatable, scalable asset.
Beyond the interactive canvas, Mosaic provides a robust programmable layer through its API and Agent Skills. Developers can invoke any saved workflow via REST API endpoints or configure event-based webhooks that trigger editing when new files appear in Google Drive, Amazon S3, Dropbox, or YouTube. For agentic workflows, Mosaic offers one-click skill installations for OpenClaw and Claude Code, allowing AI coding assistants to edit video directly from the command line. This means a developer can push a code update and automatically generate a product demo video, or a content manager can set up a trigger that creates multiple social clips as soon as a podcast episode uploads. The API layer transforms Mosaic from a tool into an infrastructure component, enabling deep integration with content supply chains, media asset managers, and custom applications.
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Mosaic’s enterprise-grade capabilities extend to brand governance and ecosystem connectivity. Teams can define custom brand styles, guidelines, and output formats directly within the platform, ensuring every automated edit—whether a rough cut for a social ad or a reframed podcast clip—stays perfectly on-brand without post-hoc review. The system is also extensible: developers can create custom nodes to introduce bespoke editing functions, making the canvas infinitely adaptable to niche production requirements. For high-volume needs, its automation engine processes thousands of videos concurrently, a feature critical for agencies like TubeScience that A/B test dozens of variants per campaign. Deep integrations with professional tools such as Mimir, Iconik, Adobe Premiere, Slack, and various MAMs mean that Mosaic slots into existing post-production pipelines, triggering edits from the tools teams already use and delivering finished assets back into the same ecosystems.
The Mosaic workflow begins with a design phase on the visual canvas. Editors assemble a sequence of editing nodes—import, rough cut, reframe, AI caption, motion graphics, export—like building a flowchart. This template captures the exact creative intent, including timing, styles, and effects. Once saved, the template becomes an automated pipeline. Users can trigger it manually for ad-hoc edits, schedule it, or set up event-driven triggers: when a new video lands in a Google Drive folder, Mosaic automatically runs the pipeline and outputs finished files to the same location. For programmatic access, developers call the API with a video URL and workflow ID; the platform executes the edits and returns the transformed asset. AI agents add another dimension: using natural language, a user can ask an agent to 'create 30-second vertical teasers from this podcast' and Mosaic will parse the command, apply the appropriate template, and deliver. After automation, editors still have the option to jump into a timeline-based editor for fine-tuning, balancing full autonomy with creative oversight. This hybrid model—automate first, refine as needed—gives teams unprecedented speed without sacrificing quality.
Real-world deployments showcase Mosaic’s transformative impact. NewsUK’s talkSPORT radio station integrated Mosaic into its production pipeline to automate the creation of vertical video clips from live broadcasts, resulting in a tripling of content output across social platforms. Podcast host Jake Blockchain leveraged the platform to automate his entire post-production process, saying his workflow ‘10x’d,’ allowing him to focus on content rather than mouse-clicks. Søren Skarsgard, founder of EasySlice, used Mosaic as the backend engine for his entire product, building a business around its programmable video editing capabilities. Advertising agency TubeScience employs Mosaic to generate and A/B test multiple ad variants from the same raw footage, optimizing performance at enormous scale. These cases illustrate that regardless of industry—media, podcasting, startups, or advertising—Mosaic delivers a step-change in production velocity while maintaining or improving creative quality.
As a Y Combinator-backed company with investors from OpenAI, Google DeepMind, and Mayfield, Mosaic is positioned to become the default video editing platform for the AI era. It caters to a broad spectrum of users: social media managers at publishers, podcast producers, advertising creative teams, SaaS founders embedding video features, and developers working with agentic AI tools. The platform runs in the cloud, accessed via a web-based canvas or API, and supports popular storage and collaboration integrations. While a free tier allows anyone to start experimenting, enterprise plans offer advanced scalability, dedicated support, and custom integrations. In a landscape where video content demand is exploding, Mosaic’s unique combination of a visual workflow builder, AI agents, and a programmable API makes it the most efficient way to turn hours of editing into seconds of automation—unlocking creative velocity for everyone from solo creators to global media conglomerates.
Mosaic is built for marketing teams at media companies and publishers who need high-volume video production, advertising agencies running A/B creative tests, podcasters and independent creators repurposing long-form content, enterprise video production departments integrating with MAMs and post-production tools, and developers embedding programmatic video editing into software workflows via API. It serves anyone from social media managers scaling short-form output to engineers automating video asset generation.
Updated 2026-03-03