AI research programs for venture capital scenarios
The following application process is recommended for the specific needs of venture capital organizations:
- initial screening stage: Batch input 100+ startup URLs and complete basic research report in 5 hours
- In-depth research phase: Activate search engine backfill mode for shortlisted projects, crawling news reports, patents and other peripheral information
- Competitive Analysis: automatically generated benchmarking matrix, visualizing the relative position of the subject company in the industry
- dynamic monitoring: Setting up a timed task to update the invested company information regularly.
Special Configuration Recommendations:
- Add industry-specific keywords (e.g., SaaS industry metrics such as MRR, ARR, etc.)
- Integration of Crunchbase and other database APIs to supplement funding history
- Automatically generate SWOT analysis framework on output
This answer comes from the articleAI Agent Company Researcher: Automated Company Information Research IntelligencerThe
May not be reproduced without permission:AI productivity tools " How can AI company research assistants be applied to improve efficiency in venture capital project screening?
