Orkes Raises $60M to Bring Production-Grade AI Orchestration to Enterprise Developers
Orkes, the workflow and agent orchestration platform founded by the original engineers behind Netflix’s microservices infrastructure, has closed a $60 million Series B round led by AVP, with participation from Prosperity7 Ventures, Nexus Venture Partners, Battery Ventures, and Vertex Ventures US. The raise signals growing enterprise demand for orchestration infrastructure that can take AI workloads from prototype to production without falling apart.
The company’s foundation is Conductor, an open-source orchestration engine originated at Netflix in 2016 and still actively maintained by Orkes. Netflix’s own internal usage of Conductor has grown fivefold in recent months, and the project counts developers at JP Morgan Chase, Tesla, Atlassian, Oracle, American Express, and GE Healthcare among its users. Since its $20 million Series A in 2024, Orkes has tripled its paying customer base and built a developer community in the hundreds of thousands.
The core problem Orkes is solving is one that any developer who has shipped an AI demo knows well: what works in a controlled environment rarely survives contact with production. Orkes wraps agentic workflows in governance, observability, and durability primitives — the same infrastructure guarantees enterprises expect from any mission-critical system, now applied to LLM-driven workloads.
The platform’s current capability set reflects that philosophy. Agentspan is an open-source durable runtime that runs agents on Conductor’s proven execution engine. The MCP Gateway turns internal APIs into governed, agent-accessible tools. Agentic Workflows blend structured process logic with LLM decision points and human-in-the-loop steps. Prompt-to-Workflow lets developers convert natural language into editable workflow definitions they can ship quickly. For teams building on top of internal APIs — the typical enterprise developer situation — the combination of MCP Gateway and durable orchestration is particularly relevant.
Naveo Commerce, an end-to-end European commerce platform, uses Orkes to run adaptive fulfillment orchestration across a volatile global supply chain, with AI agents autonomously handling inventory monitoring and disruption response in real time. United Wholesale Mortgage, Quest Diagnostics, Twilio, LinkedIn, and Woodside Energy are also in the customer roster.
Gartner projects AI software spending will hit $450 billion in 2026, but McKinsey found two-thirds of enterprises were still running pilots as recently as last year. The gap between experimentation and production deployment is where Orkes is positioning itself — not as another AI application layer, but as the durable execution infrastructure beneath it. For developers building systems where API calls, agent decisions, and human review need to compose reliably at scale, that layer has been notably absent from the stack until now.