AI agent platform automating audit and advisory engagement workflows
Fieldguide builds AI-driven audit and advisory software, and its stack shows a multi-model bet: OpenAI, Anthropic and Gemini orchestrated through LangGraph and monitored with LangSmith, on a React/TypeScript, Hasura GraphQL and PostgreSQL core. Active projects center on agent evaluation and backend agent execution, while hiring splits nearly evenly between engineering and sales, pairing agent infrastructure work with an enterprise go-to-market push.
Fieldguide is a San Francisco-based software company founded in 2020 that serves audit, accounting and advisory firms. Its platform targets engagement workflows spanning compliance audits, risk management, cybersecurity and regulatory standards, with AI agents handling execution under practitioner oversight. The company is privately held, employs 201–500 people, and hires in the United States and South Korea. Its commercial stack includes Salesforce, HubSpot and Vitally, supporting a sales-led enterprise motion with structured customer onboarding.
Fieldguide runs React, TypeScript, Node.js, Python, PostgreSQL, Hasura and GraphQL on AWS with Kubernetes and Terraform, plus OpenAI, Anthropic, Gemini, LangGraph and LangSmith for AI agents.
Current projects include enterprise-grade AI agents for the audit lifecycle, agent evaluation infrastructure, backend systems for agent execution, and modernizing legacy audit and accounting tools.
Yes. Engineering is the largest hiring area, closely followed by sales, with most openings at senior level across the United States and South Korea.
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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.