MoatMind is an AI analyst that continuously monitors emerging technologies, evaluates disruption threats, and delivers investment-grade intelligence. No queries. No dashboards. Just answers, delivered before you need to ask.
CB Insights, AlphaSense, PitchBook. They give you a search bar and call it intelligence. You still need a human to interpret results and connect the dots.
Gartner publishes quarterly. Technology moves weekly. By the time you read the Hype Cycle, the disruption has already started reshaping your portfolio.
Startup databases track funding rounds and headcounts. They don't tell you which company has a real moat and which is burning cash on marketing.
An analyst that works continuously. Reads papers, patents, and earnings calls. Connects signals across sectors. Tells you what matters and why, before it's obvious.
MoatMind replicates the workflow of a senior innovation analyst. It monitors, synthesizes, and reports autonomously across your priority sectors.
Monitors research papers, patent filings, startup launches, regulatory changes, and earnings calls across your defined technology domains.
Connects signals across industries. A breakthrough in photonics affects semiconductor moats. An mRNA advance reshapes pharma competitive dynamics.
Evaluates whether disruptions erode, strengthen, or create new economic moats. Grades threats by timeline, severity, and portfolio exposure.
Delivers structured reports with actionable insight. Not data dumps. The kind of brief a Head of Innovation would write, delivered every Monday morning.
MoatMind was designed from the daily workflow of a professional innovation analyst. Every feature exists because a real investment team needed it. No feature exists because a product manager thought it sounded good.