Spot the story before the market does.
Iverra builds AI tools that find emerging narratives in news and social media, link them to newly launched tokens, screen those tokens for risk, and test trading ideas against real execution costs.
What we build
Three connected systems. Each one is measured on live data, not on hindsight.
Narrative detection
Reads thousands of headlines and public posts a day across languages. Language models, including Claude, label which stories have a concrete, memorable subject and whether the news is genuinely new.
Launch safety screening
Every token linked to a story is checked before anyone sees it: liquidity and market-cap floors, a sell check that catches tokens you can't sell, contract-permission flags, and lists of known bad actors.
Execution-grade research
Strategy research that charges real costs: live quotes, slippage, fees and the delay between seeing a signal and acting on it. Ideas are judged on data held back until the very end.
How it works
From a headline to a reviewed lead in seconds to minutes.
Capture
News feeds, public posts and launch events on several chains.
Read
Language models pull out the subject and how fresh it is, quoting the source.
Match
New tokens are linked to the names and phrases of live stories.
Check
Safety, liquidity and price-freshness checks remove risky or stale tokens.
Review
Leads go to a dashboard and alerts for a person to review.
Principles
Measured, not assumed
Results use real costs and are tested on data held back from development. We say plainly when an idea fails.
No hindsight
Every input must have been available at the moment of the decision. We audit systematically for leaks from the future.
Safety before speed
A token with unknown or incomplete safety data is treated as unsafe, never as clean.
Leads, not advice
Model scores rank stories for review. They are not predictions or recommendations.
Talk to us
Partnerships, data or questions about what we build.