Getting Started
What is Thesis AI?
Thesis AI is a multi-agent investment research platform built for serious retail investors. It synthesizes macro signals, company fundamentals, news sentiment, and price action into clear, mobile-ready investment theses — in seconds.
Private Beta
Thesis AI is currently in private iOS beta via TestFlight. Request access to join the waitlist.
Core Concept
Most retail investors face the same problem: too much information, not enough signal. News feeds, earnings reports, macro commentary, and price alerts all arrive simultaneously — but nothing explains what actually matters for your holdings, right now.
Thesis AI solves this by deploying a team of specialized AI agents that work in parallel. Each agent analyzes a specific dimension of the market — macro environment, company fundamentals, news catalysts, price trend — and contributes structured signals to a shared evidence layer. A synthesis engine then assembles these signals into a single, source-aware thesis with a confidence score.
Who It's For
Thesis is designed for serious retail investors aged 18–30 who manage their own portfolios and want institutional-quality research discipline on a mobile device. It is not a trading platform. It does not execute orders or give personalized financial advice. It gives you structured reasoning — fast.
Key Capabilities
- Multi-agent research engine — Macro, Fundamentals, News, Price, and Portfolio agents run in parallel and contribute structured signals
- Portfolio-aware context — Agents are aware of your holdings and watchlist, so analysis is relevant to what you actually own
- Daily market brief — A fast, mobile-first summary of the macro regime and key developments, delivered each morning
- Thesis cards — Bull / Bear / Neutral framing with catalyst ranking, risk flags, and a confidence score per position
- Thesis alerts — Notifications when the thesis on a holding materially shifts, not just when price moves
- Source-aware output — Every claim is backed by data from verified market data vendors and macro sources
Not Financial Advice
Disclaimer
Thesis AI provides research assistance and structured analysis. It is not a registered investment advisor and does not provide personalized financial advice. All outputs are for informational purposes only.
How to Use These Docs
This documentation is organized into five sections:
- System Architecture — How the platform is built: API layer, AI layer, data layer
- Agent Framework — The five specialist agents and how they work
- Research Workflow — Step-by-step: from user query to thesis output
- Data Sources — Market data vendors and macro data integrations
- Roadmap — Where the platform is headed