Mira

Agent-native investment research system for evidence-tracked, refreshable investment theses.

Mira is an AI investment research system for agents and research users. It is designed to turn multi-source material into traceable, reviewable and refreshable investment judgment, rather than a one-off stock report or chat answer.

Mira focuses on the investment thesis: what evidence supports it, when it is valid, what would disconfirm it, and how it should be monitored.

Collaboration Model

Mira is built for a three-part division of labor:

• Humans own the purpose, question framing, constraints, risk budget, final judgment and any real-world action.
• AI models expand cognitive bandwidth by reading, summarizing, comparing, extracting claims, generating hypotheses and drafting analysis.
• Mira constrains model output into evidence-tracked, refreshable and falsifiable research work.

Model output is not evidence by itself. Mira's job is to turn useful model work into source-backed claims, explicit uncertainty, refresh conditions and research actions that remain separate from trading or portfolio instructions.