
Muzaic.ai is a web-based audio production platform for teams that publish video at volume. It takes a folder of video cuts and returns each one finished: music, sound effects, ambience and voiceover composed to fit the picture and each other, mixed and mastered to broadcast spec. Three soundtrack concepts per clip, in about 30 seconds, with commercial licensing and legal cover included.
Who it is for
Marketing teams, advertising agencies and production houses that ship dozens or hundreds of ad variants a month and need the audio step to keep pace with the rest of the pipeline.
Key capabilities
Video analysis: reads scenes, objects, pacing, colour and sentiment to build an audio plan before composing a note.
Four-layer composition: music, SFX timed to the action, ambience ducked under speech, voiceover drafted from the brief; original source audio preserved where wanted.
Batch processing: drag in single cuts or a whole folder (MP4, MOV); each clip queues with its length.
Campaign briefs: one brief per campaign with up to four style tags and five direction sliders drives every clip.
Versioning: up to three concepts per clip, side by side, each with its own status.
Review and approval: shareable client review links replace email rounds; status tracking per campaign.
Localisation: language versions of a finished mix in one click.
Export: MP3 and WAV; downloads unlimited on every plan.
Licensing: 100% commercial licence on paid plans, with legal cover that extends to the agency's clients on Studio.
Plans
Usage is metered in minutes of finished audio per month; downloads are unlimited and legal cover is included on all paid plans.
Personal: free forever. 10 minutes a month, non-commercial use, MP3 export.
Creator: from $45/month. Commercial use for your own brand and paid ads, up to 3 concepts per video, WAV + MP3, legal cover on every campaign. Top-up at $1.00 a minute.
Studio: from $249/month. Client work with the licence travelling to the client, paid ads for clients' brands, priority processing, client review links, one-click language versions. Top-up at $3.00 a minute.
Enterprise: custom pricing. TV, radio, cinema and out-of-home use, extended cover limit named in the agreement, dedicated processing capacity, custom contract, DPA and SLA.
Annual billing saves 20%.
Deployment: SaaS, browser-based, no install. Support: email and online documentation; 30-minute live demo on your own campaign available.
Learn more
BigQuery is a serverless, multicloud data warehouse that simplifies the process of working with all types of data so you can focus on getting valuable business insights quickly. At the core of Google’s data cloud, BigQuery allows you to simplify data integration, cost effectively and securely scale analytics, share rich data experiences with built-in business intelligence, and train and deploy ML models with a simple SQL interface, helping to make your organization’s operations more data-driven.
Gemini in BigQuery offers AI-driven tools for assistance and collaboration, such as code suggestions, visual data preparation, and smart recommendations designed to boost efficiency and reduce costs. BigQuery delivers an integrated platform featuring SQL, a notebook, and a natural language-based canvas interface, catering to data professionals with varying coding expertise. This unified workspace streamlines the entire analytics process.
Learn more
Tad
Tad is a free (MIT Licensed) desktop application for viewing and analyzing tabular data. It is a fast viewer for CSV and Parquet files and SQLite and DuckDb databases that support large files. It's a Pivot Table for analyzing and exploring data. Internally, Tad uses DuckDb for fast, accurate processing. Designed to fit into the workflow of data engineers and data scientists. Tad includes updates to DuckDb 1.0, the ability to export filtered tables as Parquet (as well as CSV), a fix for formatting numbers in scientific notation, and other minor bug fixes and dependent package upgrades. A packaged installer for Tad is available for macOS (x86 and Apple Silicon), Linux, and Windows.
Learn more