Monitor LLMs, AI agents, prompts, vector databases, and infrastructure — with AI-powered root cause analysis and automated remediation that resolves issues before customers feel them.
Every layer of your AI stack — apps, agents, RAG, vector stores, model providers — flows into ArcIn AI, which correlates, finds root cause, and remediates automatically.
Every AI request is broken down stage-by-stage — embedding, retrieval, model, business logic — so the bottleneck is obvious. Here, the LLM call dominates.
82% of latency is the LLM call — ArcIn flags model, prompt size, and provider as the levers, and can auto-route to a faster model.
ArcIn maps every agent, model, and datastore. When one degrades, the impacted path lights up red — here, the billing agent's OpenAI dependency.
ArcIn traces a failure end-to-end — from an upstream model slowdown all the way to customer and revenue impact — so you see the whole chain, not just the symptom.
Metrics, logs, and traces miss the things that break AI apps — prompts, tokens, agents, and retrieval. Applicare sees all of it.
Book a demo or start a free trial. We'll instrument your LLMs, agents, and RAG pipeline — with ArcIn root cause and auto-remediation — in under an hour.