Orkes Secures $60 Million to Boost AI Workflow Management
80Orkes, a platform focused on helping developers manage AI agents and automated workflows in real-world settings, has announced a fresh $60 million in funding. The company was founded by engineers who originally built Netflix’s internal workflow system, with Jeu George serving as CEO and co-founder. This funding comes at a critical time when many companies are struggling to move AI from testing into full production. Despite the abundance of AI tools, what’s missing is a reliable way to oversee, monitor, and control AI systems once they go live.
Why AI Deployment Is Challenging
Many organizations find deploying AI more difficult than expected. Gartner estimates that by 2026, global AI software spending will hit around $450 billion, as companies shift from experimenting to expecting real results. This huge investment puts pressure on teams to deliver, but running AI in a controlled demo is one thing. Ensuring that AI works reliably in daily, mission-critical operations is another challenge entirely.
Running AI agents at scale means developers need clear visibility into what the AI is doing at any moment. They need to catch issues early before they escalate and involve humans when decisions require oversight. Orkes addresses these needs by providing tools to orchestrate workflows, observe AI performance in real time, and enforce governance to keep AI behavior predictable and auditable.
How Orkes Plans to Use the Funding
The new capital will help Orkes expand its AI tools and grow its presence across different industries and regions. Its platform includes several key features. The Agent Runtime allows developers to combine structured processes with AI-driven decisions, while also enabling humans to review or intervene when necessary. This makes AI more flexible and safer to deploy.
The MCP Gateway transforms internal company APIs into secure tools that AI agents can access reliably. An API is simply a way for different software systems to communicate. The third feature, Prompt-to-Workflow, lets developers describe a workflow in plain language. The platform then creates a draft version that can be edited and deployed, making it easier to turn ideas into working AI processes.
Overall, Orkes aims to give companies the confidence to run AI in production environments. Its platform is designed to ensure reliable, controlled, and scalable AI operations, which are crucial for organizations relying on AI for mission-critical tasks. With this funding, the company plans to accelerate innovation and help more enterprises operationalize AI successfully.
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