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
  • Coauthor WorkspaceA shared browser workspace where coauthors review results, leave comments, and approve writeups — no installation required. Structured research tickets move from proposed to designed to results to writeup, and the AI drafts paragraphs that save directly to Overleaf.
  • Browser Research InterfaceFull research environment in your browser. Read files, run code, generate tables and figures — all grounded in the literature corpus.