AI doesn't age well gracefully. We architect comprehensive observability stacks to track data drift, predict latency bottlenecks, and catch model degradation before it impacts your users.
The real world changes. We deploy statistical monitors that continuously compare live inference traffic against your original training baselines to detect anomalous distributions automatically.
Deep integration with Prometheus and Grafana to track high-percentile API latencies, CPU/GPU utilization drops, and out-of-memory errors on inference servers.
Running LLMs or large neural networks is expensive. We build token-tracking and API cost-guardrails to assign specific dollar amounts to distinct features and users dynamically.