By investing in a Business or Enterprise subscription, your organization will access custom, AI-powered news feeds about the trends and topics that matter to your team.
Feed review
Engineering AI-powered news feeds is both a science and a human-directed art. Quantumrun Foresight cannot guarantee that every article collected by the AI-curation feeds will be perfectly aligned with your research priorities.
For this reason, after a Quantumrun account representative notifies your team that your company account’s trend news feeds are live, we recommend providing Quantumrun Foresight with regular (weekly, bi-weekly, monthly) feedback about the quality of the curation.
Low-performing feeds (e.g., below 70% quality news curation) can be improved in a number of ways; for example:
Search terms can be narrowed, i.e., made more specific.
Specific keynotes can be filtered out.
Specific websites can be filtered out. Alternatively, specific websites can be selected for exclusive curation.
Alternate search topics can be selected.
In select cases, Quantumrun may bonus additional feeds to your account to collect a higher volume of Signals.
Overall, Quantumrun Foresight is committed to collaborating with your team to fine-tune the trend feeds to align more closely with your team’s research priorities.
Signal appearance
The Signals curated by the AI engine copy the first few sentences from a given article that the external website allows our platform to copy freely. Some websites allow our system to copy more content than others, but never the full article. In some cases, an individual Signal may contain very little text from the original external article; in many cases, this is due to that website having a paywall of some kind.
Unfortunately, not every website has properly formatted SEO/metadata settings for their article content, and this results in the platform occasionally copying in legal text or poorly formatted text in place of a meaningful article summary. If you come across these rare instances, we recommend clicking through to the original article to review its information at the source.
Meanwhile, manually-curated (i.e., human-curated) Signal links will often be longer in length, roughly one to two paragraphs. For Enterprise customers, these Signals will also be written and voted on. Read more here.
Duplicate signals
On occasion, you may notice the AI curation engine pull in exact duplicates into the News Signals page. This may be caused by multiple feeds from related industries pulling in related news items. The platform will eventually delete these duplicates within 24-48 hours.
Similarly, individual news feeds may pull in articles about the same news topic but from different news or journal publishers. While we have some automated protections against this, clients have commented that they prefer to be exposed to different perspectives on the same topic, specifically if it is a major news story.
Old signals
Over 80% of the Signals on the platform we published within the last two years, with hundreds of new ones added daily.
As a rule, Quantumrun deletes Signal posts older than two years that are not bookmarked to a client List.
However, depending on how you search and filter through the platform, you may occasionally encounter signals older than two years. This may occur for the following reasons:
A signal was bookmarked to an active List by a client user.
A signal is being used in an active Project.
An Enterprise client recently assigned Quantumrun researchers to search for historical signals about a particular research topic.
Despite these reasons, older Signals will gradually be phased out of the platform annually.
