You tell us what to automate. We deliver a production agent on your infrastructure — no data leaves your network. Open source stack, no lock-in.
For operations teams at companies that need AI running reliably, not chatbots that break.
Discuss your use caseWhat do you need automated? Operational monitoring, compliance reporting, document processing, research pipelines, internal tooling — if it can be defined, it can be an agent.
We deliver a working prototype fast, then iterate with your team. Runs 24/7, handles failures gracefully, learns from feedback.
Open source infrastructure. Your data, your hosting, your code. No vendor lock-in. Walk away any time with everything you need to run it yourself.
We offer a multi-layered infrastructure where each component has a well-defined responsibility and integrates seamlessly.
Handles the operational backbone — configuration, logging, scheduling, and service lifecycle — so agents run reliably without manual intervention.
Runs models across multiple backends with a single interface. Swap providers without changing agent code.
Collects operational feedback, manages context, and fine-tunes models so agents improve from real-world usage.
Structures the communication between agents and LLMs. Defines how agents ask questions, interpret answers, and validate results.
Orchestrates agent behavior with trait-based architecture. Agents that learn, adapt, and run autonomously.
Full stack on GitHub
18 years of building high-performance systems. PhD in computer science (signal processing, 3D graphics). Real-time and mission-critical platform engineering across multiple industries — designed from scratch, operated at scale.
LLM Works exists because AI agents should be infrastructure — reliable, tested, production-grade.
Describe your workflow. We'll tell you how we'd build it and what it takes.
Schedule a technical assessment