Enterprise AI agent platform with managed automation and governance
Druid AI builds an agent-based automation platform for large enterprises, powered by a proprietary conductor layer that orchestrates AI workflows at scale. The stack reveals infrastructure-heavy engineering: .NET/C#, Kubernetes, Docker, plus specialized networking (STUN, TLS 1.3, SBC work), alongside OpenAI integration and RAG. Hiring velocity is accelerating across engineering and go-to-market roles, with projects focused on productizing agent configuration, proof-of-concept delivery, and sales enablement—suggesting transition from experimental AI deployments toward repeatable enterprise playbooks.
Druid AI develops an enterprise automation platform centered on intelligent agents that handle business processes with human oversight. The product, powered by the Druid Conductor, integrates with major ERP and CRM systems (Workday, Salesforce, ServiceNow, Oracle) and supports on-premises, cloud, or hybrid deployment models. The company operates at scale with 350 clients and 250+ partners globally, headquartered in New York with engineering and support footprint across the US, Canada, Germany, and Romania. Core use cases span process automation, conversational AI, and agentic workflows in enterprise environments.
Core stack: .NET, C#, Docker, Kubernetes, SQL Server, Oracle. AI/ML: OpenAI Codex, RAG. Enterprise integrations: Salesforce, ServiceNow, Workday. Networking: STUN, TLS 1.3, custom SBC components.
51–200 employees. Current hiring is accelerating across engineering, marketing, sales, product, and support functions.
Druid AI'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.