Find everything that matters. Skip everything that doesn't.
An AI screening engine built to catch every relevant adverse media signal across the open web — without burying your team in false positives.
Cast a wide net and drown analysts in noise, or narrow the search and risk missing the signal that actually matters.
Third-party search APIs charge per query, so costs scale with every keyword you add — not with what you actually find.
Analyst hours go into triaging irrelevant hits instead of investigating real risk.
Name collisions and aliases produce false positives that erode trust in the screening process.
Adverse media screening becomes one of the most expensive, lowest-leverage parts of compliance. We built a different approach: the Thematic Funnel.
A small number of smart, thematic queries run across the entire web to surface high-quality initial signals with high confidence — not a flood of generic keyword hits.
Every result is analyzed by a sentiment-aware scoring model. Anything that crosses the risk threshold triggers a forensic deep dive — the source is fetched, cleaned, and every entity mentioned is extracted and re-checked for relevance before being confirmed as a real hit.
Verified findings are collated into a coherent structure and summarized by state-of-the-art LLMs, giving compliance officers a fast, readable risk picture instead of a pile of raw articles.
The wide net at the discovery stage is built to catch signals other tools miss, not just the obvious ones.
Deep, expensive investigation only happens on leads that have already earned it.
Findings are matched to the target individual or entity, cutting false positives caused by name collisions and aliases.
The scoring model reads tone and context, not just the presence of a word.
Groups related coverage of the same event into one clean narrative instead of ten duplicate hits.
Turns a stack of articles into a decision in seconds.
An efficient scraping framework for comprehensive data acquisition from diverse online sources.
Accurately links mentions to the target individual or entity, handling naming variations and aliases.
Text analysis, part-of-speech tagging and semantic understanding of every mention found.
Determines the emotional tone — positive, negative or neutral — of identified news articles.
Groups related articles and identifies key themes across a large volume of findings.
Generates concise overviews of identified adverse media to speed up analyst review.
Standalone, or as the screening layer inside AML Lens — continuously monitoring every client, UBO, and connected individual you're responsible for, on a schedule you control.
Talk to us about adding continuous, entity-resolved surveillance to your risk program.
See a Live Screening Run