AI agents for enterprise workflows and financial operations
Cassidy deploys AI agents into business-critical workflows—finance, sales, customer service—using a stack anchored in Node.js, React, PostgreSQL, and integrations with QuickBooks, NetSuite, Ramp, Gusto, and Salesforce. The project mix (LLM orchestration, workflow development, forecasting models, pricing optimization) and pain-point pattern (complex workflow implementation, scaling finance processes, heavy engineering overhead) show a company building infrastructure for agentic automation while wrestling with operational scaling. Early-stage hiring velocity is accelerating across sales and engineering, signaling growth-phase expansion.
Cassidy, founded in 2023 and based in New York, builds AI agents designed to integrate into existing business operations and data environments. The platform targets mid-market and enterprise buyers in finance, accounting, and operations—companies running QuickBooks, NetSuite, or Ramp who want autonomous agents handling routine tasks alongside their teams. The product surface spans workflow orchestration, LLM reasoning, financial forecasting, and pricing logic. Cassidy is a privately held company with 51–200 employees, currently hiring across sales, engineering, and marketing.
Node.js, React, TypeScript, PostgreSQL, Slack, and integrations with NetSuite, QuickBooks, Ramp, Gusto, Salesforce, HubSpot, Zapier, and n8n.
New York, NY. The company was founded in 2023 and is hiring exclusively in the United States.
Cassidy'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.