Crunchbase Data, Right Inside Your LLMs

Using Crunchbase, give me a one-page brief comparing my key targets: [Company A] ([domain]), [Company B] ([domain]), and [Company C] ([domain]). Cover funding history and last round, 12-month employee growth, recent product launches, and leadership changes. Show the comparison as a table, then explain which target has the strongest momentum and why. Close with each company's growth or acquisition predictions and its biggest risk, and label any missing or undisclosed data rather than estimating it.

Using Crunchbase, build a market map of up to 30 emerging and growing companies in generative AI for healthcare. Group them into segments by primary use case, and for each company show its stage, total funding, and lead investors. Identify which segment has attracted the most capital in the last 12 months, which is the most crowded, and which three companies are best positioned to lead. Explain how you segmented the market and which close candidates you excluded and why.

Using Crunchbase, find up to 20 investors that actively back early-stage robotics companies headquartered in the Midwest. For each, show their relevant portfolio companies, the stages they invest at, typical check size where disclosed, and their three most recent relevant deals. Rank investors by activity over the last 24 months, flag which ones typically lead rounds, and note co-investors that frequently appear alongside them. Label undisclosed amounts rather than estimating them.

Using Crunchbase, find up to 25 US-based cybersecurity companies founded since 2022 that have raised a Seed or Series A. Rank them by growth using 12-month headcount change, funding pace, and growth predictions. For each, show HQ, founding year, last round and amount, lead investors, and the signal that ranks it highest. Segment them by security category, explain why the top five stand out, and save the full list to a new Crunchbase list called "Cyber Watchlist."