AI-native ERP automating manual accounting workflows for mid-market companies
Campfire is an AI-native ERP built for mid-market and enterprise accounting teams, automating manual transaction categorization, bank reconciliation, revenue recognition, and variance analysis. The tech stack reveals a dual-engine architecture: traditional ERP connectors (NetSuite, SAP, QuickBooks, Sage, Oracle, Xero) paired with modern AI infrastructure (PyTorch, TensorFlow, OpenAI, Hugging Face), positioning the product as a bridge between legacy finance systems and AI-driven automation. Hiring skews heavily toward sales (12 open roles) and support (5), with only 4 engineering spots—a sales-led go-to-market focused on enterprise implementation and customer success rather than product iteration.
Campfire builds an AI-native ERP for accounting and finance teams at high-growth and mid-market companies, automating labor-intensive processes like manual transaction work and account reconciliation. The product integrates natively with established platforms (Ramp, Rippling, Salesforce) and legacy ERP systems (NetSuite, SAP, Oracle), supporting over 100 API endpoints for custom workflows. Founded in 2023 and headquartered in San Francisco and New York, the company operates across US and UK hiring markets and is backed by Accel, Ribbit, Foundation Capital, and Y Combinator. Current focus spans customer implementations, proof of concepts, partner enablement, and high-volume outbound prospecting to finance and operations leaders.
Campfire uses Python, Next.js, and React for core product; PyTorch, TensorFlow, OpenAI, and Hugging Face for AI; and integrations with NetSuite, SAP, QuickBooks, Sage, Oracle, Xero, Salesforce, and others.
Campfire is headquartered in San Francisco, California and New York. Founded in 2023 and backed by Accel, Ribbit, Foundation Capital, and Y Combinator.
Campfire'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.