Gaapio

Gaapio is an AI-powered technical accounting platform built by CPAs to modernize how accounting firms perform research, documentation, and complex analysis. Designed specifically for professional accounting workflows, Gaapio helps firms move faster without sacrificing accuracy—while keeping CPA judgment at the center of every conclusion.

Accounting teams today spend enormous time on research, documentation, and repetitive analysis that slows delivery and limits staff leverage. Gaapio changes that. The platform enables firms to upskill staff and increase leverage by helping less-experienced team members produce higher-quality work faster—from research to memo drafting to reviewer-ready outputs. By reducing time spent on minutia, firms can focus more on professional judgment and delivering value to clients.

Gaapio provides a full suite of AI-driven technical accounting tools, including:

• Contract Analysis: Robust workflows for analyzing large volumes of agreements, including revenue contracts (ASC 606), lease abstraction and evaluation (ASC 842), and support for business combinations, debt arrangements, stock compensation, and other complex transactions.

• Accounting Research: Deep research across the Codification, public filings, firm guidance, internal documentation, and other authoritative sources—built to support real, defensible conclusions rather than generic AI responses.

• Memos & Policies: Guided workflows that generate structured, workpaper-quality technical accounting memos, complete with reviewer comments, version history, and internal sign-offs designed for audit-ready documentation.

• Footnote Disclosures: AI-assisted disclosure preparation with benchmarking against real SEC filings and customizable disclosure checklists.

• Guidance Updates: Automated monitoring and analysis of FASB updates, SEC comment letters, and major firm interpretations.

Gaapio also supports internal AI assistants for firm knowledge access and tools for SOX and internal controls documentation.

Security is built into the platform by design. Customer data is private and never used to train public AI models, with end-to-end encryption and structured outputs ready to support audit and compliance workflows.