Agency dependence
Most newsrooms pay high licensing fees every year for agency wire stories that nearly every competitor publishes as well.
Research & verification infrastructure
The future of journalism isn't less research – it's more.
News agencies deliver information. Our platform researches further: it weighs relevance, checks facts, adds company and market data and produces ready-to-publish drafts. So newsrooms regain time for the journalism no AI can replace.
The problem
Research is dying.
Not because newsrooms don't want it.
But because they can less and less afford it.
- Yesterday
- Own research
- Multiple sources
- Fact checking
- Time for context
- Today
- Reuters
- dpa
- AFP
- Copy editing
- SEO left undone
- Tomorrow
- AI takes over research
- The journalist provides the context
What holds newsrooms back today
Research costs time
Every story has to be verified, contextualized and expanded. That time is missing for exclusive journalism.
Content barely differs
When everyone uses the same agency wire, barely any differentiating content emerges. Competition no longer happens through research.
Reach left on the table
Hundreds of relevant topics emerge every day. Most are never published.
The contradiction
The market earns billions …
The world pays billions every year for market data.
≈ $14bnBloomberg
≈ $6bnLSEG
≈ $5bnS&P Global
≈ $2bnFactSet
And yet many newsrooms end up writing almost identical articles.
The problem isn't missing information. It's missing time.
Time to
researchcompareverifycontextualize
That's exactly the process we automate.
Our manifesto
We don't believe journalism fails for lack of information.
It fails for lack of time to research.
Newsrooms have never had access to so much data. At the same time, it has never been harder to turn it into independent journalism economically.
That's why we're not building an AI that writes text.
We're building an AI that researches.
So journalists can once again do what only humans can:
Contextualize.Question.Explain.Tell stories.
The solution
How our digital research desk works
- 01RSS
- 02Classification
- 03News value
- 04Duplicate detection
- 05Fact extraction
- 06Fact checking
- 07Deep research
- 08Company data
- 09Market data
- 10Financials
- 11Historical context
- 12Article draft
- 13Editorial review
- 14Publication
We don't automate the writing – we automate the entire research before it. Every step is transparent and auditable. Your newsroom makes the call.
Product
Not just AI. A complete digital newsroom.
Detect topics
Thousands of signals are automatically distilled into the stories that matter.
Prioritise news
Every story gets a news value score – your desk sees what counts first.
Check facts
Every claim is verified against independent sources, with confidence scoring.
Research sources
Autonomous deep research adds background, numbers and voices.
Write articles
Verified facts become independently written, ready-to-publish drafts.
Create image briefings
Every draft automatically ships with a briefing for the photo desk.
The difference
How are we different from ChatGPT?
Other AI
- writes text
- hallucinates sources
- knows no priorities
- no fact checking
- no workflow
Our platform
- detects news
- scores news value
- researches on its own
- verifies facts
- adds company data
- produces finished articles
- documents sources
Who it's for
Built for newsrooms that want to scale
Business newsrooms
More coverage with the same team size – without losing quality.
Finance portals
Scale SEO without additional editors. Finally cover the long tail.
Trade media
Automated research for specialist topics that would otherwise be left behind.
Live example
From a headline to a researched article
Input: RSS story
Apple invests in OpenAI
Source: agency ticker, 2 lines, no context
Our output
- Headline & summary
- Fact check with source evidence
- Independent research
- Financials
- Market reaction
- Historical context
- Final article draft
The difference is immediate: signal in – researched, verified draft out.
Numbers
The pipeline in numbers
1,200+incoming stories per day
200–300relevant stories detected
100%automated research pipeline
< 5 minto the first article draft
The economics
30 minutes of research become a 2-minute review
Today
- 3 editors
- 9–12 premium articles per day
- Tens of thousands in agency fees per year
- SEO potential left unused
With our platform
- The same 3 editors
- Premium articles as before
- + 200–300 prepared article drafts per day
- More reach, more timeliness, less routine
Legal approach
Original content instead of repurposed agency copy
Our system uses public news sources exclusively for topic identification. The subsequent research, fact validation and text creation are carried out independently, based on additional sources and our own processing. The goal is original journalistic content rather than the reuse of agency copy.
Pricing
A model for every newsroom size
From a first pilot to an enterprise rollout – we tailor the package to your newsroom.
Starter
- Up to 3 users
- Base news volume
- Standard pipeline
- Email support
Professional
- Up to 15 users
- Extended news volume
- API access
- Priority support
Enterprise
- Unlimited users
- Custom volume
- White label
- On-premise available
FAQ
Frequently asked questions
No. The system replaces monotonous research, copy/paste and fact gathering – not editorial judgement. Every draft goes through your newsroom's review; context, opinion and investigative work stay human.
Public news sources only act as triggers for topic identification. From there the system researches independently: independent web sources, company data, market and financial data, and historical context.
Every extracted claim is verified individually against independent sources and scored with a confidence value. Unverifiable claims are flagged – transparent down to the single source.
Besides public news signals, the pipeline draws on market data, fundamentals, balance sheet figures and historical events. Your own data sources can be connected via API.
The platform is CMS-agnostic: drafts can be handed over to existing editorial systems via API, export or webhook. Custom integrations are set up together.
Yes. Your own feeds, databases and API endpoints can be integrated into the pipeline as additional sources and data blocks.
From incoming signal to the first ready-to-publish draft usually takes less than five minutes – including fact checking and research.
Currently German and English. More languages are on the roadmap and can be prioritised per project.
Book a demo
See the pipeline live
Share a few details about your newsroom – we will follow up shortly with a slot for a live demo.