Step 1
Frame
Set research questions, categories, and metrics that match your business context.
Step 2
Scan
Run parallel model queries and generate structured signal sets on demand.
Step 3
Verify
Review source-backed signals and apply reliability, maturity, and urgency filters.
Step 4
Activate
Share radars, query data with AI, and use outputs in workshops and planning meetings.
Step 5
Repeat
Refresh continuously so your intelligence layer evolves with market shifts.
Run frequent scans across multiple domains and maintain an always-on sensing capability.
Maintain persistent projects, taxonomies, and signal history in a single research environment.
Every signal is automatically fact-checked and verified against real-world sources.
Generate radar-ready visual outputs for reporting, workshops, and internal communication.
Download your data as CSV for further analysis or integration with other business intelligence tools.
Launch scans on your timeline without waiting for external project cycles.
Each radar you generate automates the equivalent of weeks of expert analyst work—signal sourcing, vetting, summarization, and categorization—for a fraction of the cost and time.
Track signals as they evolve and avoid one-off research resets.
Build a foresight practice your team can operate and refine over time.
Run significantly more scans per year than a traditional service-only model.
Keep structured outputs in your own strategic workflow with export and integration options.