01
Prove your product is getting better
Score every release against the rubrics you actually care about. Quality becomes a number you can track, not a vibe you debate.
02
Judgment with the “why” attached
Binary pass/fail misses the point. Capture rich rationales that show not just where your AI falls short, but how to make it better.
03
Ground truth your LLM judges trust
Build golden sets and calibration benchmarks so LLM-as-judge systems stay aligned with the humans who define quality.
Trusted by leading AI product builders
How it works
1
Draft studies in seconds
Point us at your AI outputs and your rubrics (or build them with us), and we'll instantly create an evaluation ready for human raters.
2
Recruit from anywhere
3
Watch responses roll in
4
Turn insight into action
How AI product teams are using Voicepanel
Click a use case to see how teams evaluate and improve AI products.
Human preference data
Collect preference judgments with rich rationales
Preference data is the ground truth behind better AI products. Collect structured choices from real people—with the reasons behind each pick—so your team and your models learn what quality actually looks like.
Capture pairwise and ranked preferences at product speed
Attach voice and written rationales to every judgment
Feed preference data into training, evals, and roadmap decisions
Why use Voicepanel for human evaluation?
AI product teams usually choose between labeling vendors built for model training and brittle DIY stacks bolted to an LLM judge. Voicepanel is built specifically for human evaluation, with human signal, recruitment, and guardrails included.
 | Model labeling vendorse.g. Mercor, Scale AI, Surge AI | DIY + LLM judgee.g. custom UI, Prolific, GPT-as-judge | |
|---|---|---|---|
Preference & rubric workflows | Partial | ||
Built-in evaluator recruitment | No | ||
Recruit your own evaluators | Unlimited | Add-on | |
Processed video rationales | Partial | No | |
API & MCP support | Limited | Partial | |
Custom permissions & guardrails | Partial | No | |
Enterprise security & compliance | Partial | No |
See Voicepanel in action
See how AI teams collect preference data, failure modes, and judge calibration at product speed.