Founded on the principle that artificial intelligence demands a fundamental rethinking of how we build, deploy, and orchestrate systems, Oolong brings deep technical expertise to organizations navigating the transition to autonomous, intelligent infrastructure.
We architect systems where AI agents don't merely respond—they reason, plan, and act with purpose. Our work spans the full spectrum of agentic capabilities: from multi-step reasoning frameworks to tool-using agents that interface seamlessly with existing infrastructure.
The shift from reactive models to proactive agents represents a paradigm change in how software operates. We help organizations design agent architectures that are reliable, observable, and aligned with business objectives—systems that can be trusted to make decisions autonomously while remaining accountable and transparent.
The generative AI age demands infrastructure that can scale elastically, provision compute on demand, and serve models with millisecond latency. We specialize in building platforms that make this complexity invisible to developers.
Our expertise includes GPU orchestration for open-source LLM inference, containerized model serving, and the observability systems needed to understand model behavior in production. We believe in open models and the sovereignty they provide—our platforms are designed to give organizations control over their AI stack, from silicon to API.
Agents require workflows that can survive failures, resume from interruptions, and maintain state across distributed systems. We build data pipelines and orchestration layers that are reproducible, auditable, and resilient by design.
Drawing from principles of functional programming and distributed systems theory, our workflow architectures treat computation as a series of immutable transformations. This approach ensures that every step is traceable, every decision is logged, and every failure is recoverable—essential properties for systems where AI agents operate with increasing autonomy.
Infrastructure should accelerate innovation, not constrain it.
We've observed that many organizations approach AI infrastructure with the same patterns that served the previous generation of software. But agentic systems—systems that plan, reason, and act autonomously—demand different primitives.
Our methodology is rooted in first principles thinking. We don't simply deploy the latest frameworks or chase benchmarks.
The companies that will thrive in the agentic age are those that treat AI infrastructure as a strategic capability, not a commodity.
Bogdan brings over eight years of specialized experience in cloud-native infrastructure and AI systems to Oolong Technologies. His expertise spans GPU infrastructure, durable workflows, and self-service platforms, with deep knowledge of Kubernetes, Terraform, Istio, LLM fine-tuning, and agentic workflows.
If you are interested in learning more about our work and how we might collaborate, we invite you to reach out.
hello@oolongtechnologies.io