LLM Evaluation Platform

Run,compare,andoptimizeLLMexperiments.

Configure reasoning methods, run side-by-side A/B comparisons, inspect statistical significance, and track latency and token cost — all from one console.

Chain-of-ThoughtA/B ComparisonMetrics DashboardRAG Evaluation

Operational dashboard

Experiment status, throughput, latency, and failure analysis — all in one dense, keyboard-navigable view.

Side-by-side comparison

Accuracy, statistical significance, disagreement cases, and output diffs between any two runs.

Multi-method evaluation

Benchmark Naive, Chain-of-Thought, ReAct, and RAG pipelines against the same dataset in one workspace.

Cost and latency tracking

Wall time, token usage, caching efficiency, and per-sample cost alongside every quality metric.

Everything you need to evaluate LLMs.

From experiment configuration to statistical comparison — a single workspace for the entire evaluation lifecycle.

Structured experiment setup

Pick a model, reasoning method, dataset, and run parameters from a structured form — no YAML guesswork.

Side-by-side analysis

View accuracy, latency, token cost, and statistical significance between any two completed runs.

Real-time observability

Readiness checks, queue status, cold-start handling, and per-experiment progress from one dashboard.

Reasoning trace viewer

Drill into Chain-of-Thought, ReAct, and naive outputs at the individual sample level to understand why.