Cassidy was founded by Justin Fineberg (CEO) and Ian Woodfill to make enterprise AI automation accessible to the people who actually run business operations, not just engineers. The company's core insight is that generic AI assistants fail in the enterprise because they lack context — they don't know a company's processes, data, or institutional knowledge. Cassidy positions itself as 'context-powered' automation that grounds AI agents in a company's own tools and knowledge so they can do real, useful work.
Through a no-code builder, business users can design, deploy, and iterate on AI workflows and agents that span functions: triaging customer support tickets, updating the CRM automatically from sales calls, sharing institutional knowledge instantly in Slack, and automating operational tasks across departments. Because the agents are connected to company context and existing systems, Cassidy aims to deliver outcomes that go beyond chat — automating high-value, repeatable workflows that previously required human effort.
Cassidy reports significant traction, with over 20,000 teams using the platform and millions of workflow automations run per quarter. The company says enterprises that adopt Cassidy typically see adoption expand and usage multiply within their first six months, as teams discover new processes to automate once the platform is grounded in their knowledge.
In September 2025, Cassidy raised a $10 million Series A led by HOF Capital, with participation from The General Partnership, Neo, Alumni Ventures, and others. The capital is earmarked for expanding the platform and growing the team to help more enterprises unlock the value of their institutional knowledge.
By combining a no-code experience with deep grounding in company context, Cassidy is targeting the gap between flashy AI demos and durable enterprise value — giving non-technical teams a practical way to put AI agents to work across the operations of the business.