Most AI dies between a working demo and a reliable production system. We engineer that path. We build and operate the infrastructure behind production AI—retrieval pipelines, agent orchestration, evaluation and guardrails, deployment, monitoring, and the cost and latency tuning that keeps systems fast and affordable. Whether you have a stalled POC or a model that needs to scale, we make AI dependable in production—and give it the LLMOps to stay that way.
Key Capabilities
- RAG & retrieval pipelines — chunking, embeddings, vector stores, and retrieval evaluation
- Agent infrastructure — orchestration, tools, memory, and safe execution
- Evaluation & guardrails — automated evals, hallucination checks, and safety controls
- Deployment & scaling — APIs, autoscaling, caching, and latency optimization
- LLMOps & monitoring — observability, drift detection, cost tracking, and model lifecycle
- Reliability & cost tuning — keep quality high and spend predictable in production