Our proprietary platform, E/Quant, uses artificial intelligence to analyze a broad spectrum of data, from startup performance indicators and market trends to founder histories.
Predictive success modeling
Dissecting historical venture data to pinpoint characteristics that signal future success.
Adapting to market changes
Continually refining our models with back tests.
30% minimize the risk
60% more growth opportunities
Efficiency
Evaluate large number of investment opportunities in less time
100
10,000
30% minimize the risk
500
50,000
pitch decks analyze per month
Data-driven decisions
Using machine learning to unveil patterns and insights that escape conventional methods. We analyze over 400 data sources in minutes.
Angellist
CBInsight
Crunchbase
Dealroom
Pitchbook
Tracxn
Preqin
Specter
GitHub
X
YouTube
Medium
Substack
App Store
ProductHunt
TechCrunch
FDA
SEC
Carta
