Tesseract Research provides AI-native stock analysis tools that replace scattered chatbot answers with structured, defensible research workflows. Its Tesseract Stock Agent runs repeatable research chains—covering filings, valuation logic, and risk checks—so analysts and investors receive inspectable, audit-ready memos rather than conversational outputs. The system is customizable to a client's house methodology and supports cross-market coverage without rebuilding scaffolding from scratch.
Funding
Funding not disclosed
Founders
Product
Problem
Professional analysts and experienced investors rely on general-purpose AI chatbots for research, but conversational outputs are inconsistent, lack audit trails, and can sound authoritative while hiding small fabrications. These tools improvise answers, skip routine checks, and produce outputs that cannot be defended under client or compliance scrutiny, wasting hours on assembly work that delays judgment.
Solution
Tesseract Research provides the Tesseract Stock Agent, a structured AI-native workflow that replaces improvisation with a defined, repeatable research chain. The system runs the same sequence every time—gathering filings, organizing inputs, surfacing risks, and framing first-pass valuations—so outputs are comparable across a coverage list and over time. It produces condensed research memos rather than transcripts, with an inspectable chain of reasoning that analysts can show clients and defend under questioning. The chain can be customized to a client's house methodology, carry sector-specific support material, and handle specialist cases like biotech binary events or dilution-driven microcaps. The analyst retains judgment and final calls, while the system automates the mechanical assembly that previously consumed most of the workday.
Target Audience
Primary customers are professional equity analysts, portfolio managers, and experienced individual investors who need defensible, repeatable research outputs and want to automate assembly work without surrendering judgment.
Features
- Structured research chains that run identically across companies and time periods, ensuring comparability and repeatability
- Inspectable audit trail showing every step of the reasoning, from source inputs to final output
- Customizable workflow templates that adapt to a client's house methodology, weighting, and sector-specific definitions
- Specialist steps for edge cases including biotech binary events, cyclicals at inflection points, and microcaps with dilution risk
- Cross-market resource layer supporting jurisdictions with different pricing, disclosure, and regulatory standards
- Condensed research memo output format designed for professional review rather than conversational transcripts