Velora is an AI-powered operating system for specialist publishers, automating source monitoring, research, drafting, and CMS delivery so editorial teams can focus on journalism. The platform continuously scans RSS feeds, email inboxes, and social accounts, scores items for relevance, and generates fully structured drafts with built-in fact verification and internal linking. It integrates directly with WordPress, Sanity, and Webflow, delivering articles as drafts for editorial review before publication.
Funding
Funding not disclosed
Founders
Product
Problem
Editorial teams spend excessive time on repetitive production tasks—monitoring feeds, conducting background research, sourcing images, and formatting content for CMS delivery—rather than on journalism itself. This manual workload slows publishing cycles, limits output, and diverts resources away from high-quality reporting and story development.
Solution
Velora provides an AI-powered operating system for specialist publishers, automating the entire editorial workflow from source monitoring to CMS delivery. The platform continuously monitors RSS feeds, email inboxes, and social media accounts, scoring every item for relevance and surfacing only the stories worth covering. Once a story is approved, Velora conducts deep background research, extracts key facts and quotes, verifies claims against source material, selects and places images, and generates a structured draft ready for editing. Every output is draft-first, ensuring editorial control remains with the journalist, while the same research context is reused to generate platform-specific social posts and newsletter content.
Target Audience
Primary customers are specialist publishers, independent newsrooms, and digital media teams that produce regular editorial content and need to scale production without sacrificing quality or editorial control.
Features
- Continuous monitoring of RSS/Atom feeds, email inboxes, YouTube, Instagram, LinkedIn, and X with AI-based relevance scoring that improves over time
- Deep research layer that extracts key facts, quotes, and data from multiple sources, with structured context reusable across articles, social posts, and newsletters
- Built-in fact verification with confidence scoring, source attribution, and flagged claims for editorial review
- Automatic image management: selects, sizes, crops, attributes, and places images contextually within the article
- Automatic internal linking that cross-references existing article archives and adds contextual links to boost SEO and page views
- Interactive ideation canvas for feature writing, supporting audio files, transcripts, and notes with visual narrative mapping
- Skills configuration that applies audience, voice, house style, and terminology rules across all outputs
- Direct CMS delivery to WordPress, Sanity, and Webflow as drafts, with platform-specific social content generated from the same research context