Oolong Technologies is building the infrastructure for the agentic age.
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.
Agentic AI
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.
Platform Engineering
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.
Durable Workflows
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. They require platforms that can handle non-deterministic execution, workflows that embrace uncertainty, and observability that captures not just what happened, but why.
Our methodology is rooted in first principles thinking. We don't simply deploy the latest frameworks or chase benchmarks. Instead, we work closely with your team to understand the fundamental constraints of your domain, then architect solutions that are elegant, maintainable, and built to evolve as the technology landscape shifts.
The companies that will thrive in the agentic age are those that treat AI infrastructure as a strategic capability, not a commodity. We help you build that capability—not through vendor lock-in or proprietary platforms, but through deep technical partnership and knowledge transfer that leaves your team more capable than when we arrived.
Bogdan Buduroiu
Founder & CEO
Bogdan brings over eight years of specialized experience in cloud-native infrastructure and AI systems to Oolong Technologies. His background spans the full technical spectrum that defines modern agentic platforms: from provisioning GPU infrastructure for open-source model inference, to architecting durable workflow systems that handle millions of events per second, to building self-service engineering platforms that scale globally.
His expertise in orchestration frameworks, service mesh architectures, and distributed systems forms the foundation of Oolong's technical approach. With deep knowledge in both the infrastructure layer—Kubernetes, Terraform, Istio—and the AI stack—LLM fine-tuning, agentic workflows, semantic routing—he bridges the gap between cutting-edge research and production-ready systems.
Educated in Computer Science with a focus on machine learning and intelligent systems, Bogdan has consistently worked at the intersection of platform engineering and artificial intelligence, building the exact capabilities that Oolong now offers to clients navigating the transition to autonomous, intelligent infrastructure.
If you are interested in learning more about our work and how we might collaborate, we invite you to reach out.