Sentrial

What it does

Sentrial is a production monitoring platform for AI agents. It traces every agent session, capturing user inputs, tool calls, LLM responses, latency, and token costs. The platform lets you define automated assertions (called "flags") to detect regressions like hallucinations, tool schema errors, user frustration, or goal abandonment. It also supports A/B testing of prompts in production, comparing variants on success rate and latency. Real-time Slack alerts notify teams of error spikes or unusual behavior, and the tool can link failures directly to source code, suggesting fixes (e.g., adding validation before an API call).

Who it is for

Sentrial is built for engineering teams deploying AI agents in production—especially those building customer support bots, onboarding flows, or other user-facing agent applications. The pricing tiers (Developer at $10/mo, Startup at $450/mo, Enterprise custom) indicate it targets both individual developers and growing startups, as well as large-scale deployments needing VPC options.

Why it matters

AI agents can fail silently—hallucinating, calling tools with invalid arguments, or frustrating users without obvious errors. Sentrial provides observability and automated evaluation to catch these issues before users report them. By tracing every session and flagging regressions, it helps teams maintain agent quality, reduce debugging time, and improve success rates through prompt experimentation. The ability to pinpoint failures in source code and get actionable suggestions accelerates resolution.

Launch signal

Sentrial is a Y Combinator-backed startup (W26 batch). It launched on Hacker News with the title "Launch HN: Sentrial (YC W26) – Catch AI agent failures before your users do." The website shows a functional product with pricing, demo booking, and login, indicating it is live and accepting users.

Brand and naming

The name "Sentrial" blends "sentry" (watchful guard) and "trial" (test/experiment), reflecting its dual role in monitoring and A/B testing. The tagline "Catch AI agent failures before your users do" is clear and action-oriented. The brand positions itself as a developer-friendly, YC-backed tool for production AI reliability.