EVALUATION LABS

Test.
Measure.

Practical evaluation environments and specialized EVP engines for testing AI systems, measuring quality, finding failures, and improving AI reliability.

The EvalLoop Evaluation Platform architecture. Each EVP specializes in a specific evaluation domain, with Nexora serving as the orchestration layer.

● CURRENT
EVP.Aureon
General Purpose Evaluation

General AI response evaluation across factuality, instruction-following, relevance, completeness, safety, and fluency.

○ COMING SOON
EVP.Lunara
Reasoning Evaluation

Evaluation of reasoning quality, logical consistency, problem solving, and structured thinking.

○ COMING SOON
EVP.Aethera
RAG Evaluation

Evaluation of retrieval quality, groundedness, context usage, answer relevance, and unsupported claims.

○ COMING SOON
EVP.Vespera
Safety Evaluation

Evaluation of harmful outputs, safety failures, jailbreaks, prompt injection, and policy compliance.

○ COMING SOON
EVP.Nebryx
Multimodal Evaluation

Evaluation across text, image, audio, and video understanding, grounding, and cross-modal consistency.

○ COMING SOON
EVP.Celestia
Agent Evaluation

Evaluation of AI agents across planning, tool usage, task execution, trajectories, and recovery.

○ COMING SOON
EVP.Nexora
Orchestrator

Coordinates specialized evaluation engines and determines which evaluation capabilities should be applied to an AI system.

○ COMING SOON
EVP.Stellara
Benchmark Evaluation

Benchmark execution, regression testing, evaluation datasets, repeatability, and performance tracking.

Interactive evaluation environments built around the EVP architecture.

LAB.01 ● AVAILABLE

Model Comparison

Compare multiple AI models against the same prompts and examine differences in evaluation results.

OPEN LAB →
LAB.02 ● AVAILABLE

Response Comparison

Compare two AI responses using structured evaluation criteria and identify differences in quality.

OPEN LAB →
LAB.03 ● AVAILABLE

Prompt Testing

Test prompts systematically and identify inconsistencies, hallucinations, and instruction failures.

OPEN LAB →
LAB.04 ○ BUILDING

RAG Evaluation

Evaluate retrieval quality, groundedness, context usage, and unsupported claims.

COMING SOON →
LAB.05 ○ BUILDING

AI Safety Lab

Test AI systems for safety failures, jailbreaks, prompt injection, and policy violations.

COMING SOON →
LAB.06 ○ BUILDING

Agent Evaluation

Evaluate planning, tool usage, task completion, trajectories, and agent reliability.

COMING SOON →
LAB.07 ○ BUILDING

Multimodal Evaluation

Evaluate AI systems across text, image, audio, and video understanding.

COMING SOON →
LAB.08 ○ BUILDING

Human Evaluation

Build structured human evaluation workflows using rubrics, pairwise comparison, and scoring systems.

COMING SOON →
LAB.09 ○ BUILDING

Regression Testing

Detect evaluation regressions when models, prompts, or application logic change.

COMING SOON →