AI platform modernizing audit and advisory engagement workflows
Fieldguide builds an AI-native platform for audit, advisory, and assurance firms, deployed across a mix of Big Four and mid-market practices. The tech stack is heavily weighted toward AI infrastructure (OpenAI, Anthropic, Gemini, LangSmith, LangGraph) and real-time data orchestration (Apache Airflow, PostgreSQL, GraphQL), reflecting a core bet on agentic automation for complex audit workflows. The hiring mix—17 engineers, 12 sales, and a director-level leadership layer—signals a company scaling post-Series C while managing the friction of moving legacy-tool users into a new platform paradigm.
Fieldguide is a San Francisco-based audit and advisory platform founded in 2020. The product is purpose-built for regulated environments and brings together professionals and AI agents to handle engagement work from planning through close. The company sells primarily to large accounting and audit firms, with adoption spanning Big Four (KPMG, BDO, Grant Thornton) and regional mid-market practices. Current headcount sits between 51–200 employees. The company raised a Series C in February 2026 and has closed $125M in total funding.
Fieldguide integrates OpenAI, Anthropic, and Gemini as core AI backbone, alongside LangSmith and LangGraph for agentic orchestration and workflow execution.
PostgreSQL for persistence, Apache Airflow for orchestration, dbt for transformation, and Tableau/Looker/Power BI for analytics and reporting.
Fieldguide's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.