What is DeepSights Topic Radar?
DeepSights Topic Radar is a continuous topic monitoring capability within the DeepSights platform from Market Logic Software. DeepSights Topic Radar gives one strategic topic a dedicated AI agent that keeps reading, tracking and analyzing the evidence, maintaining an always-current, cited profile and showing exactly what changed as new research arrives.
How is DeepSights Topic Radar different from news or media monitoring?
DeepSights Topic Radar is built for deep, evidence-based monitoring of trusted research rather than broad news scanning. Topic Radar works across your organization's own research and DeepSights syndicated research, so each topic profile is grounded in sources you already trust, not a feed of headlines.
How long does it take to set up a DeepSights Topic Radar?
Setting up a Topic Radar takes around 30 minutes. A self-service wizard guides you through the few inputs the agent needs: the topic, what to track and why, evidence criteria, exclusions, and the chapters you want. For a typical library, the first cited profile can be available within hours.
What does a DeepSights Topic Radar produce?
DeepSights Topic Radar produces one living, cited profile per topic, structured into a chapter framework your team defines. New evidence is continuously incorporated, a New Learnings report highlights what changed between updates, and full version history shows how the topic evolved.
What kinds of topics can DeepSights Topic Radar track?
DeepSights Topic Radar can track a strategic theme, market development, consumer shift, technology or business question, anything focused enough to track and update over time. Examples range from GLP-1 impact on food shopping to tariffs on the US auto market or synthetic data in research, which makes Topic Radar a strong fit for ongoing trend tracking.
How does DeepSights Topic Radar stay current?
As new material enters DeepSights, Topic Radar reads that material against the topic and adds relevant evidence, then rebuilds the profile chapter by chapter so the current view always reflects the latest evidence, without your team rerunning the same research.