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.
Production-grade Python infrastructure. Configuration, logging, scheduling, and service management.
Multi-backend inference server. Native, vLLM, and Ollama with unified client interface.
Context management, feedback collection, RAG retrieval, and LoRA fine-tuning pipeline.
Typed verbs for LLM interactions — verify, critique, extract, synthesize. Predictable, testable outputs.
Agent framework with trait-based architecture and learning capabilities.
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