Orkes’ $60M funding underscores surging demand for reliable, scalable orchestration as enterprises move AI from experimentation to mission-critical production systems
Orkes, the developer-first platform for agentic systems and durable workflow orchestration, has secured $60 million in new funding, marking a major inflection point in its growth trajectory. The investment comes as enterprises increasingly prioritize the transition from experimental AI initiatives to production-grade deployments that deliver measurable business outcomes. The Series B round was led by AVP, with participation from Prosperity7 Ventures and existing backers including Nexus Venture Partners, Battery Ventures, and Vertex Ventures US.
This latest capital infusion reflects growing confidence in Orkes’ ability to solve one of the most pressing challenges in modern software engineering: enabling developers to deploy AI systems reliably, predictably, and at scale in real-world production environments.
From Microservices Origins to AI Orchestration Leadership
Orkes was founded by the original architects behind Netflix’s microservices orchestration platform, a system that played a foundational role in enabling Netflix’s global scalability. That system evolved into the open-source Netflix Conductor, which has since become a widely adopted standard for orchestrating distributed systems.
Building on this foundation, Orkes has spent the past several years extending Conductor’s capabilities to meet the demands of modern AI and agent-based architectures. The result is a platform that not only orchestrates microservices but also coordinates large language models (LLMs), APIs, human inputs, and autonomous agents within unified, durable workflows.
According to co-founder and CEO Jeu George, the platform is designed to ensure that “applications and agents behave predictably at scale,” even as developers push the boundaries of what artificial intelligence can achieve.
Rapid Growth and Expanding Global Adoption
Since raising its $20 million Series A round in 2024, Orkes has experienced significant momentum. The company has built a global developer community numbering in the hundreds of thousands, with millions of platform installations. At the same time, it has tripled its enterprise customer base, signaling strong demand across industries.
Organizations leveraging Orkes today include major enterprises such as United Wholesale Mortgage, Quest Diagnostics, Twilio, and LinkedIn, as well as global players like Woodside Energy and Naveo Commerce.
Engineering leaders within these organizations emphasize both the technical robustness of the platform and the operational support provided by Orkes. For instance, teams at Woodside Energy highlight the platform’s ability to simplify complex state machine processing while enabling smooth transitions during large-scale system migrations.
Beyond its commercial platform, Orkes continues to steward the Conductor ecosystem, which remains widely used by developers at thousands of organizations worldwide. Companies such as JPMorgan Chase, Atlassian, Tesla, Oracle, American Express, and GE Healthcare continue to rely on Conductor for orchestrating mission-critical workflows. Notably, internal usage of Conductor at Netflix itself has increased significantly, underscoring its ongoing relevance in high-scale environments.
Bridging the Gap Between AI Prototypes and Production
The year 2026 represents a turning point for enterprise AI. While investment in AI technologies continues to surge—with projections estimating hundreds of billions in spending—many organizations still struggle to move beyond pilot programs. A substantial proportion of companies remain in experimental phases, unable to operationalize AI at scale.
This disconnect, often referred to as the “agent execution gap,” stems from the lack of infrastructure required to manage AI systems in production. Challenges include ensuring reliability, maintaining observability, enforcing governance, and scaling workloads dynamically.
Orkes directly addresses these challenges by providing a comprehensive orchestration layer tailored to AI workloads. Its platform enables developers to:
- Coordinate interactions between AI models, APIs, and services
- Implement robust error handling and retry mechanisms
- Monitor workflows with deep observability
- Enforce governance and compliance policies
According to Alex Scherbakovsky of AVP, this combination of technical depth and real-world adoption was a key factor in the firm’s investment decision. He notes that enterprises increasingly require platforms that deliver both reliability and control, particularly as AI systems become embedded in mission-critical operations.
A Platform Built for Agentic Workflows
At the core of Orkes’ offering is its ability to support “agentic workflows”—a new paradigm in which AI agents operate autonomously within structured processes. These workflows combine deterministic steps with probabilistic AI-driven decisions, enabling systems to adapt dynamically to changing conditions.
Orkes has introduced several key capabilities to support this model:
Agentspan
An open-source runtime designed specifically for AI agents, Agentspan enables developers to build and execute agents on top of Conductor’s proven orchestration engine. This ensures durability, scalability, and observability for agent-based systems.
Agentic Workflows
These workflows integrate LLM-driven decision-making, tool usage, and human-in-the-loop processes into a cohesive execution model. The architecture is designed to handle real-world complexity while maintaining reliability.
MCP Gateway
This feature transforms internal APIs into standardized, secure tools that can be easily consumed by AI agents and language models, simplifying integration and enhancing safety.
Prompt-to-Workflow
A capability that converts natural language prompts into structured workflows, allowing developers to rapidly prototype, refine, and deploy AI-driven processes.
Together, these features enable developers to move quickly from concept to production without sacrificing control or reliability.
Real-World Impact Across Industries
The practical value of Orkes’ platform is evident in its real-world deployments. For example, Naveo Commerce uses Orkes to orchestrate complex supply chain operations in a highly dynamic global environment. By leveraging AI agents, the company can monitor inventory levels, detect disruptions, and resolve issues in real time.
According to Jamie Goldring, CEO of Naveo Commerce, agentic orchestration represents a fundamental shift in how enterprises operate. Rather than incremental improvements, it enables entirely new levels of adaptability, resilience, and revenue generation.
This use case illustrates a broader trend: AI is no longer confined to isolated tasks but is becoming deeply embedded in end-to-end business processes. As a result, the need for orchestration platforms that can manage this complexity is growing rapidly.
Building Confidence in Production AI
A central theme in Orkes’ strategy is enabling “confidence in production.” While AI models have become increasingly powerful, their deployment in real-world systems introduces uncertainty and risk. Without proper orchestration, even the most advanced models can fail under real-world conditions.
Orkes mitigates these risks by providing:
- Strong governance frameworks
- High levels of observability into AI behavior
- Built-in reliability mechanisms
- Scalable execution environments
This approach ensures that AI systems not only perform well in controlled settings but also deliver consistent results in production.
As Abhishek Shukla of Prosperity7 Ventures notes, Orkes is helping define what production-grade AI orchestration looks like. By providing a unified engine to coordinate models, tools, and human oversight, the platform enables AI to operate safely within mission-critical workflows.
Strategic Use of Funding
The $60 million raised in this round will be used to accelerate Orkes’ product development and global expansion. Key focus areas include:
- Enhancing support for AI and agentic systems
- Expanding cloud infrastructure and geographic reach
- Strengthening security, compliance, and governance features
- Growing the developer ecosystem and community
These investments are aimed at solidifying Orkes’ position as a foundational layer in the modern AI stack.
As enterprises continue to scale their AI initiatives, the importance of orchestration will only increase. The future of AI will depend not just on model performance, but on the systems that integrate, manage, and operationalize those models.
Orkes is well-positioned to lead this evo
lution. By combining a battle-tested orchestration engine with cutting-edge AI capabilities, the company is enabling a new generation of intelligent applications that are both powerful and reliable.
In a landscape where many organizations struggle to move beyond experimentation, Orkes offers a clear path to production—helping developers and enterprises alike unlock the full potential of artificial intelligence with confidence, control, and scale.
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