Make more informed investment decisions, faster than ever.
Amy runs deep-dive analysis on any company in minutes—so you can move fast without cutting corners. Start with pre-built frameworks or create analysis types specific to your process.
Founder Assessment
Evaluates founders against your ideal archetype—prior experience, exits, domain expertise, and references.
Competitive Landscape
Maps positioning, pricing, and differentiation against direct and adjacent competitors.
Regulatory Risk Assessment
Surfaces compliance hurdles in fintech, healthtech, and AI—before you sign the term sheet.
Customer Sentiment
Pulls sentiment from Reddit, Twitter, G2, and niche forums to gauge real customer love (or frustration).
Red Flag Finder
Scans for warning signs across team, traction, and market that warrant deeper investigation.
Custom Analysis
Build your own analysis type with custom instructions, data sources, and output format.
Pre-built analysis
frameworks.
Start with battle-tested analysis templates designed for investment diligence. Each framework is built to surface the insights that matter most.
- •Founder Assessment — evaluate founders against your ideal archetype
- •Competitive Landscape — map positioning and differentiation
- •Regulatory Risk — surface compliance hurdles before term sheet
- •Customer Sentiment — gauge real customer love from forums and reviews
- •Red Flag Finder — scan for warning signs across team and traction
Build completely custom
analysis prompts.
Inject your firm's specific knowledge—portfolio data, investment thesis, and archetypes—directly into your analysis. Amy knows your context.
- •Reference your portfolio companies in any analysis
- •Apply your investment thesis as evaluation criteria
- •Use your management team archetypes for founder assessment
- •Output in your standardized report format
Why Amy,
not ChatGPT?
You've tried using ChatGPT for research. Here's why it doesn't stick. Amy is purpose-built for investment diligence with real-time data, your context, and verifiable sources.
- •Connected to 15+ live data sources vs frozen training data
- •Your templates and format vs generic outputs
- •Already has your portfolio context vs starting from zero
- •Every claim cited and verifiable vs hallucination risk