GuardLayer is the managed operations layer for production AI. We monitor performance, run eval pipelines, enforce runtime guardrails, and control costs so your AI doesn't degrade, hallucinate, or bleed money.
Open Ops Dashboardof organizations can't handle the data volume their AI systems generate. Failures happen silently.
Token costs compound overnight. Without granular tracking per model, prompt, and user, budgets blow up before anyone notices.
LLMs are non-deterministic. Outputs degrade over time. Without continuous evaluation, quality erodes invisibly.
We don't sell you software and walk away. We operate the full AI reliability stack for your team.
Real-time tracing of every LLM call. Latency, throughput, error rates, and token usage across your entire AI stack, with alerting that actually matters.
Continuous evaluation of model outputs against your quality benchmarks. Catch hallucinations, measure relevance, and track drift before your users do.
Input and output validation at inference time. Block unsafe content, enforce policy compliance, and prevent prompt injection, all with sub-300ms latency.
Granular cost attribution by model, user, prompt, and use case. Budget enforcement, spend alerts, and optimization recommendations that save real money.
Tool vendors sell you software and walk away. You still need engineers to configure it, interpret the data, and respond to incidents. GuardLayer is the team that does all of that for you.
Every production AI system deserves a dedicated operations layer. Monitoring, guardrails, evaluation, and cost control, managed by a team that lives and breathes AI reliability. That's GuardLayer.