AI Benchmarking

AI Benchmarking

Human-verified quality scorecards for LLMs, AI models, and automated systems

SOC 2 Compliant 24-48hr Turnaround API Access Multi-rater Consensus

Overview

Why teams choose Loevech for ai benchmarking

You can't benchmark AI with AI. Loevech's human evaluators assess LLM output accuracy, verify AI safety compliance, run side-by-side model comparisons, and build custom scorecards — giving you the ground truth you need to ship confidently.

Scenarios

How teams use ai benchmarking

1

LLM output quality evaluation

Have human raters score your model's outputs for accuracy, coherence, helpfulness, and hallucination rate. Get structured scorecards you can track over model versions.

2

AI safety and compliance audits

Test your model for harmful outputs, bias, toxicity, and policy violations. Get audit-ready reports for regulatory compliance and responsible AI commitments.

3

Model A/B comparison

Run blind side-by-side comparisons between two models (or model versions). Human evaluators pick the better output on criteria you define — no automated metric gaming.

4

Custom benchmark creation

Build domain-specific evaluation datasets with human-annotated ground truth. Create the benchmark that actually measures what matters for your use case.

Benefits

What you get

  • Human ground truth — not automated metrics
  • Structured scorecards with confidence intervals
  • Blind evaluation eliminates model bias
  • Tracks quality across model versions
  • Audit-ready reports for compliance
  • Custom rubrics for domain-specific evaluation

Built For

Teams that use this

ML Engineers
AI Product Managers
Research Teams
AI Safety & Ethics
QA Engineers
Technical Leadership

Ready to try ai benchmarking?

Create a free account, pick a service, and get quality-verified results. No contracts, no minimums.