Radical Tempo automates the creation of platform‑optimized short videos from long‑form content, publishing them across social, analytics, and e‑commerce channels while continuously refining each clip based on performance data. Users upload or import episodes, receive highlighted moments, edit clips in the built‑in editor, and then publish with a single workflow. The system also analyzes catalog-wide metrics to identify winning patterns and inform future video production.
Funding
Funding not disclosed
Founders
Product
Problem
Content creators and marketers often struggle to repurpose long‑form video into short, platform‑specific clips that capture audience attention, requiring manual editing, multiple uploads, and guesswork about which moments will perform best.
Solution
Radical Tempo provides an AI‑driven platform that automatically extracts highlight moments from uploaded long‑form videos, reformats them into feed‑optimized short clips, and publishes them across social, analytics, and e‑commerce channels. The system continuously ingests performance metrics from each published clip to inform the selection and editing of subsequent clips, creating a feedback loop that improves engagement over time. Users can fine‑tune the automatically generated clips in an integrated video editor, submit publishing proposals, and monitor results through a unified dashboard. By leveraging data from all supported platforms, the platform enables evidence‑based content creation without the need for manual trial‑and‑error.
Target Audience
Primary users are video producers, social media managers, and digital marketers who need to maximize the reach of existing long‑form content across multiple online channels.
Features
- Automated highlight detection that identifies high‑impact moments within long‑form video
- One‑click reformatting of clips to match the specifications of major social and e‑commerce platforms
- Integrated video editor for quick customization of automatically generated clips
- Cross‑platform publishing workflow that handles upload, scheduling, and distribution
- Real‑time analytics aggregation that feeds performance data back into the AI model to refine future clip selection
- Centralized dashboard for reviewing proposals, publishing status, and metric comparisons across channels