Orkes, the AI workflow orchestration platform built by the original architects of Netflix’s microservices orchestration system, has raised $60 million in Series B funding. The round was led by AVP, with participation from new investor Prosperity7 Ventures and existing backers Nexus Venture Partners, Battery Ventures and Vertex Ventures US.
The California-based company provides a platform that lets developers build, deploy and manage AI agents and complex workflows in production environments. Its underlying open-source technology, Conductor, was originally built at Netflix to support its global scale, and continues to power Netflix today.
Orkes has spent four years extending that foundation to AI and agentic systems, building out the orchestration layer that sits between a company’s AI models and its production infrastructure.
From Pilot To Production
The funding comes at a moment when enterprise AI adoption is running into a brick wall.
Gartner projects AI software spending will reach $450 billion in 2026, but according to McKinsey, two-thirds of companies were still running AI in pilot mode as recently as 2025. The divide separating proof of concept and production deployment has become one of the most pressing problems in enterprise AI, and Orkes is positioning its platform directly in that space.
Since its $20 million Series A in 2024, Orkes has tripled its customer base and built a developer community with millions of installs. Customers include United Wholesale Mortgage, Quest Diagnostics, Twilio, LinkedIn and Naveo Commerce, alongside developers at organisations including Netflix, JP Morgan Chase, Atlassian, Tesla, Oracle, American Express and GE Healthcare who continue to rely on the open-source Conductor project.
“Orkes gives developers the confidence to deploy AI in production with the reliability, control and scale they expect, and global enterprises rely on the platform for mission-critical operations,” said Alex Scherbakovsky, General Partner at AVP, who is joining the Orkes board.
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What The Platform Does
Orkes’ platform allows developers to orchestrate complex workflows, build AI agents and run mission-critical applications with the governance and observability required for production environments. Its current suite includes an Agent Runtime for blending structured processes with AI-driven decisions, an MCP Gateway for turning internal APIs into tools that agents can use, and a Prompt-to-Workflow capability that converts natural language into deployable workflow drafts.
Naveo Commerce, an end-to-end commerce platform, uses Orkes to power dynamic fulfilment and adaptive orchestration across its global supply chain, with AI agents autonomously monitoring inventory, detecting disruptions and resolving issues in real time.
“Commerce is entering a new era,” said Jamie Goldring, CEO of Naveo Commerce. “Agentic orchestration is not incremental innovation but a structural leap forward, enabling enterprises to adapt in real time, unlock new revenue models and achieve resilience at scale.”
Where The Investment Goes
Jeu George, co-founder and CEO of Orkes, said the platform is bridging a gap that has held back enterprise AI adoption: “Developers need orchestration, controls and visibility to run advanced AI and agentic systems with confidence. The trust we’re seeing from both the developer community and global enterprises reinforces the role Orkes plays as the missing orchestration layer that makes AI highly reliable, observable and governable.”
Abhishek Shukla, Managing Director at Prosperity7 Ventures, framed the investment as a bet on the infrastructure layer of enterprise AI: “Orkes’ platform gives enterprises a single, governed engine to coordinate large language models, tools, microservices and human review, so AI can safely sit in the middle of mission-critical workflows.”
Orkes was co-founded by Jeu George (CEO), Viren Baraiya (CTO) and Dilip Lukose (CPO), all of whom previously led engineering at Netflix. The fresh capital will be used to expand the platform’s reach across the developer community and deepen its enterprise customer base.
