Neo.Tax builds an AI engine for enterprise tax, applying machine learning and agentic AI to the process of claiming IRS R&D tax credits and meeting ASC 350-40 compliance. Founded in 2019 and headquartered in Mountain View, California, the company has raised $25M and counts Fortune 2000 firms among its customers, including Adobe, Capital One, Thomson Reuters, Mercury, Notion and SoFi.
The Neo.Tax Platform integrates with project management tools such as Jira, payroll systems, GitHub and financial ledgers to analyse engineering data in real time and generate audit-ready documentation that meets IRS standards. The approach is intended to remove surveys, interviews, FIN48 and RTP from the workflow for finance and engineering teams.
Six AI agents handle discrete parts of the claim process: Project Creator creates R&D projects from continuous engineering signals and maintains a single source of truth for R&D and software-cap decisions; IRS Qualification determines whether activities qualify; Quantifier apportions credit components; QRE Calculator computes Qualified Research Expenses; Project Narrative drafts the supporting documentation; and QRE Defender substantiates expense claims. The models are trained on IRS codes, regulations and court cases.
Technical work spans artificial intelligence, agentic AI, machine learning, LLMs, data integration and real-time analytics, and document generation. The company operates an AI-first engineering culture and deploys single-tenant. It holds SOC 2 Type II certification and is ISO 27001 compliant.
