Surface underfollowed names, revisions and emerging catalysts.
Private alpha
Research infrastructure for Japanese equities.
Mint Research is building an AI-native research system that combines official market data, filings, earnings revisions, ownership, positioning, patent activity and quantitative signals into one evidence-driven workflow.
Connect signals back to filings, ownership, patents and primary evidence.
Build a thesis, track catalysts, risks, valuation and decisions in one place.
The product
From fragmented data to a coherent research process.
Official Japanese market data
Market, fundamental and disclosure data form the core research layer.
Cross-source signals
Revisions, ownership, positioning, company events and patent activity are brought together instead of analyzed in isolation.
Research workspace
Move from signal → evidence → thesis → catalyst → valuation → decision without leaving the same workflow.
AI-assisted analysis
Mint is being developed to help synthesize evidence, rank research priorities and discover ideas—not simply summarize data.
Why Mint
Japan is information-rich.
Research is still fragmented.
Useful evidence is spread across market data, disclosures, company materials, ownership records, technical activity and industry sources. Mint is designed to make those layers searchable, comparable and actionable in one system.
The goal is not another stock dashboard. The goal is a research engine that helps investors decide what deserves attention, why it matters, and what to investigate next.
Current status
Private alpha, actively under development.
Research platformIn development
Japanese market dataIntegrated
Research workflowsLive internally
AI intelligence layerIn development
Mint Research