An AI-Run Equity Research Institution
For Individual Investors
Initiate coverage on any public company. Track its thesis, valuation, risks, and key events as the story evolves.
Not stock tips. Not trading signals. Institutional-style equity research, rebuilt with AI.
Coverage
Monitor companies over time
Research Notes
Event-driven updates as facts change
Archive
Track how each thesis evolves
Continuous Equity Research, Rebuilt With AI
Mad Dog Alpha does not just analyze a ticker once. It initiates coverage, builds a research thesis, tracks market events, and updates the view as facts change.
Initiate Coverage on Any Public Company
Start with a ticker and create an institutional-style research brief: business context, market narrative, valuation anchors, key risks, and what to watch next.
Track the Thesis, Not Just the Price
Every company under coverage has a living thesis: what the market is pricing, which assumptions matter, what could invalidate the view, and how the story is evolving.
Separate Real Signals From Market Noise
Mad Dog Alpha evaluates recent news, filings, earnings updates, and market moves, then classifies each event as noise, catalyst, risk, or structural change.
Update Coverage as Facts Change
A research institution does not stop at the first report. Mad Dog Alpha helps users revisit prior views, update assumptions, and understand whether new information confirms or weakens the thesis.
Build a Research Archive You Can Revisit
Every brief, update, and thesis change is saved into a research archive, so users can trace how a company's story evolved over time.
Why Individual Investors Need a Research Institution, Not Another Chatbot
Most investors do not lack information. They lack a system for turning information into a trackable research thesis.
- Deep coverage, but built for institutions
- Expensive and hard to access
- Limited coverage for smaller names
- Good at answering questions
- No persistent coverage
- No research archive or thesis tracking
- AI-run coverage desk for individual investors
- Event-driven research notes
- Valuation anchors, risk maps, and thesis history
Full Research Workflow · Fully Automated
Chatbots Answer Questions.Mad Dog Alpha Maintains Coverage.
A real research institution does not stop after one answer. It tracks events, updates assumptions, records thesis changes, and preserves research history over time.
Coverage, Not One-Off Prompts
Generic AI tools produce isolated answers. Mad Dog Alpha maintains company-level coverage and keeps research organized over time.
Thesis Tracking, Not Just Summaries
Every report identifies the active market narrative, key assumptions, valuation anchors, risks, and invalidation triggers.
Event Classification, Not News Dumping
New information is classified as noise, catalyst, risk, or structural change, so users can understand what actually matters.
Research Archive, Not Disappearing Chats
Prior briefs and updates are saved, making it possible to review how the thesis evolved and what changed the view.
Chatbots answer and forget. A research institution keeps tracking.
Subscribe to Our NewsletterInside the AI Research Desk
Every coverage brief follows a structured research workflow: collect events, classify signals, build a thesis, anchor valuation, map risks, and define what would change the view.
What Early Users Are Learning
Early users use Mad Dog Alpha to structure research, challenge assumptions, and track how company narratives evolve.
"I've been in equity research for 12 years. What I find useful about Mad Dog Alpha isn't a one-shot report — it's that it actually maintains coverage. The thesis is structured: market narrative, valuation anchors, key risks, and what would invalidate the view. When a new event hits, the brief updates with how that event reframes the thesis. That's how real research desks work."