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.
Massive market. Skeleton crews. No tools.
On premium ad networks
No dedicated tech staff
58% captured by platforms
Publisher share is shrinking year over year. Margins are compressing. Yet most articles still follow the same manual process:
10+ tabs, RSS, email, social — manually
Google, copy-paste, read competitors
From scratch, or paste into ChatGPT and fix
Copy into CMS, reformat, add metadata
4 hours average per article (Orbit Media, 2025) — 60–70% of that is research, not writing
Market contraction accelerates adoption of automation infrastructure.
AI tools were built for marketers.
Publishers got left behind.
What got built
AI content market (Grand View Research, 2024)
All targeting marketing teams. Landing pages, ad copy, email campaigns.
No purpose-built tools for editorial workflows.
What publishers actually need
Fully integrated automations
Copying from box to box isn’t a productivity gain
Editorial judgement in the right places
Transparency on sources, research, and original writing
Speed
Being first in news is critical — automations that surface leads while they’re still valuable
Domain awareness, not blank-slate prompts
Publishers need tools that know their beat, their sources, and what’s already been covered
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.
Purpose-built for editorial teams
| Velora | Jasper / Copy.ai | ChatGPT / Claude | |
|---|---|---|---|
| Built for | Editorial teams | Marketing teams | General purpose |
| Source monitoring | RSS, email, social | ||
| Voice & style system | Skills created from customer’s publication | Basic brand voice | Generic skill system |
| CMS integration | WordPress, Sanity | ||
| Auto photo sourcing | Matched automatically | ||
| Validation | Sources, entities, data | Hallucination risk | |
| Human oversight | Two checkpoints, never auto-publishes | User-driven | No workflow |
“I would never have thought in a million years that was written by AI.”
A reader who went looking for flaws
We didn’t just build the tool.
We run a publication with
it. Every day.
veloracycling.com
Cited by the Reuters Institute
Journalism and Technology Trends 2026
Used by Der Spiegel’s Head of AI Innovation
Teaching case study for editorial AI
The publishing advertising market
risks contraction. That
creates opportunity.
Within $1T+ global ad spend
Google, Meta divert publisher revenue
Squeezed margins favour small players
Platform share growing.
Publisher share shrinking.
Market contraction accelerates adoption of automation infrastructure.
Sources: eMarketer, GroupM, PwC Global Entertainment & Media Outlook, Pew Research Center, Reuters Institute Digital News Report
Predictable SaaS with natural expansion
Already validated — first paying customer live, 3 more trialing
150 articles/month
300 articles/month
Revenue scales with sites — predictable, sticky income
High switching costs — configured sources + trained skills
Natural expansion — publishers add sites, upgrade tiers
6 qualified leads pre launch, no promotion.
Here’s how we
scale it.
Publishers found us on LinkedIn and asked to use the product. No ads. No outreach. No public launch.
Live sites as proof
Velora Cycling and customer sites are visible, rankable, verifiable.
SEO on velora.build
Targeting publisher pain points. We rank content — and we use our own tool to produce it.
Peter’s editorial credibility + Danny’s AI background. Already our primary inbound channel.
Direct outreach
Target publishers directly with personalised, problem-first outreach on ad networks.
Raising £200k to get to 70 customers
Three hires. 18 months of runway. SEIS qualifying.
Hire team. Public launch. Growth engine starts.
2 existing + warm leads + launch inbound
Building for scale. Case studies live. More integrations.
Outreach + referrals + organic inbound compounding
Multi-CMS. Growth accelerating. Revenue covering costs.
0.1% penetration of 68k addressable publishers