AI Radar is a smart partner-matching engine built to help teams expand beyond their existing networks. To avoid the "blind spots" that come from only relying on known connections, the tool combines vector similarity search with external web exploration (crawling). This dual approach allows the AI to simultaneously surface highly compatible companies hidden in your internal database, as well as entirely unknown companies across the open web.

How is it used?

1. Registering Needs: Users begin by inputting specific criteria, such as the exact type of support a startup needs or the specific sourcing requirements of a business department. The system instantly translates this text into "vector embeddings," making the specific concepts and conditions immediately searchable.

2. Automated Candidate Sourcing: Once the needs are registered, AI Radar automatically hunts for matching candidates both internally and externally. It significantly cuts down on manual research time (which Canopy estimates taking a full day down to just 5 minutes per startup).

3. Business Model (BM) Analysis: When AI Radar surfaces a potential match, it doesn't just give you a name. It generates an automated business model analysis for the candidate, giving your team the immediate context required to make an informed partnership decision.

4. Automated Outreach: Connected to Canopy's broader workflow, the insights generated by AI Radar can be used to automatically draft highly personalized cold emails (in English or Japanese) based on the business model analysis.

5. Continuous Learning: The AI is designed to have a "memory." It tracks your past decisions, approvals, and matching history to continuously refine and improve the accuracy of its future recommendations.

In short, AI Radar is used to eliminate the manual, repetitive work of researching and vetting partners, allowing human teams to focus strictly on reviewing AI-proposed candidates, making decisions, and building relationships.