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