An AI research
environment for
accounting academics

Conversational research grounded in the literature. Search hypotheses, methodology, results, tables, and code, all through natural language.

JAR · TAR · JAE · JFE · RAST · RFS

Our methodology is detailed in the paper. Read it on SSRN
The problem

"General LLM models hallucinate and cannot reliably distinguish theoretically plausible from implausible foundations."

The result

"Our system nearly eliminates hallucinations, retrieves more relevant prior literature, and produces faster and more reliable replications."

The implication

"A domain-specific knowledge base opens a path forward by automating transparent and theoretically grounded analyses."

Available in beta
  • Grounded in LiteratureResponses grounded in the actual corpus across abstracts, hypotheses, methodology, results, tables, and code.
  • Coding CapabilitiesReplication-ready Stata and R code grounded in the literature.
Coming soon
  • Shared AI Agent Across Coauthor TeamsOne hosted knowledge base your whole team talks to. No context lost between collaborators.
  • Reliable Audit TrailHash-chained records of every query and result. Reproduce findings and verify claims.