Built by a newsroom editor
and an AI engineer. Together.
Peter Stuart
Former Editor of Cyclingnews (the world's largest cycling publication). Former Digital Editor of Rouleur. 15+ years leading editorial teams and content operations.
Danny Bellion
Former Head of AI at Capital on Tap (London fintech, >50% annual growth 8+ years). Built and scaled production AI systems, as well as defining data & analytics strategy.
Independent publishers don’t need more content.
They
need better content, produced sustainably.
The pressure
Readers expect richer articles with context, visuals, data, explainers, social assets and constant updates
The reality
Most editorial time still disappears into searching, formatting, linking, CMS work and repetitive research
The opportunity
Automation should remove the mechanical work so journalists spend more time improving stories, not simply producing more of them
The publishers who put AI to work properly will come out ahead, and there’s nothing built for them today.
Automate the operation.
Keep the editor.
Not another writing tool. The whole content operation, end to end.
The mechanical work, automated
Monitoring, research, drafting, photos, internal links, publishing — the repetitive 70% of editorial work, gone.
Editorial judgement stays human
Every article is greenlit and reviewed by an editor. We remove the work around the judgement — never the judgement itself.
Built around each publication
Voice, style, audience, and archive captured as persistent skills — applied automatically at every step of the pipeline.
Here’s what that looks like.
Source to Content Management System in 3 minutes
Monitor
Continuous, scored for uniqueness and newsworthiness
Research
Sources, context, and your archive assembled automatically
Draft
Auto draft or write interactively. Always in your voice. internal linking built in. Photos added automatically.
Validate
Separate agent. Automated checks before the editor sees it. Syncs to CMS.
Distribute
Manage in CMS, publish to website, social assets, newsletter — one article, every channel.
SKILLS — BUILT ON THE ANTHROPIC STANDARD
Persistent instructions that teach Velora your publication’s voice, style, audience, and domain knowledge. Applied automatically at every stage of the pipeline.
A modern web application.
Purpose-built for editorial teams.
Source feed & automated reserach
Every source your newsroom cares about, in one feed. No more tab-switching, no more missed leads. Stories surface while they’re still fresh — not after the competition has already published.
Planning canvas & AI writing editor
Map out the angle and structure on an interactive canvas, then write in a rich editor with AI suggestions and instant access to Velora’s research. Full AI superpowers, editor in the driving seat.
We prove it every day,
on our own publication.
veloracycling.com
Velora Cycling is our lab. We are our own superusers: every feature is built because the newsroom needed it, then tested on a live audience. And it works.
Around 5 articles a day, on half of one editor’s time. 130k weekly impressions and climbing.
Launched two months ago.
Ten paying customers already.
Customer average, within 90 days
“Velora has increased our productivity by 100% while giving us the freedom to focus on quality, context and exploring new avenues of stories.”
Editor, independent news publisher
Customers across multiple domains, geographies and languages
Cited by the Reuters Institute (Journalism & Technology Trends 2026) · A teaching case study for Der Spiegel’s Head of AI Innovation
“Why not just use ChatGPT?”
Because the model is just the engine. What matters is the outcome for the team using it.
| Velora | ChatGPT / Claude | By hand | |
|---|---|---|---|
| Always on | Works in the background, pulling in new stories around the clock | Nothing happens until you prompt it | Only when someone’s at a desk |
| Time per article | Minutes of editing | Hours of prompting and pasting | ~4 hours |
| Coverage | Every story on your beat, while it’s still news | Only what you bring to it | Whatever the team can get to |
| Publishing | Plugged into your CMS, it just happens | Copy out, reformat, upload | Every step yourself |
| What readers get | Your voice, fact-checked | Generic text, unchecked | Quality, but less of it |
“I would never have thought in a million years that was written by AI.”
A reader who went looking for flaws
Predictable SaaS revenue,
with demand already inbound
10 paying customers in the first two months, with no paid marketing.
150 articles/month
300 articles/month
Configured sources and trained skills make switching costly, and publishers expand naturally by adding sites and upgrading tiers.
Live sites as proof
Velora Cycling and customer sites are visible, rankable, verifiable
Referrals & media
Customer word of mouth and industry press appearances, already driving inbound
Peter’s editorial credibility plus Danny’s AI background. Already our primary inbound channel
Direct outreach
Personalised, problem-first outreach to publishers on ad networks
68,000 addressable publishers at £299/mo is a £240M+ ARR opportunity. Our 18-month target is 0.1% of it.
Raising £300k to build towards £2.5M ARR
Hire team. Public launch. Growth engine starts.
10 already paying + warm leads + inbound pipeline
Building for scale. Case studies live. More integrations.
Outreach + referrals + organic inbound compounding
Multi-CMS. Publishers adding sites. Growth compounding.
0.6% penetration of 68k addressable publishers