Naturalness · aesthetics · alignment · coherence

The fastest way to bring humans into your evaluation loop.

Evaluate when your checkpoint is done, not when your labelers have time. Up to 100,000 qualified human responses per hour, on the criteria automatic evaluators can’t reliably measure.

Try a free demo Read the docs

queueing votes…

warming up…

#1GPT-5
0.88
#2Claude 4.5
0.86
#3Gemini 2.5
0.82
#4Your model v6.1previous
0.79
#5Llama 4 70B
0.77
#6Your model v6.2
0.55

01subjective criteria

The metrics your reward model averages out.

Generative AI is judged on criteria such as naturalness, aesthetics, cultural fit. These don't reduce to a single scalar and are some of the signals humans still evaluate more reliably than automated judges.

Rapidata gives you the human touch your models need, on every checkpoint, on every market, in minutes instead of weeks.

Naturalness

realism · plausibility · human feel

Would a human believe this output feels natural, intentional, or realistically produced?

Aesthetics

composition · pacing · style · tone

The subjective quality users react to immediately, but automated judges struggle to formalize.

Coherence

temporal consistency · object persistence · narrative flow

Humans quickly detect subtle continuity failures across frames, scenes, or generations.

Prompt alignment

intent · nuance · “feel” of the request

Not just instruction following — whether the output matches what the user actually meant.

Cultural fit

region · language · audience preference

Preference changes across cultures, demographics, and online communities.

Safety & taste

brand fit · offensiveness · vibe

Human reviewers catch soft failures and tonal mismatches most classifiers flatten away.

Applies acrossimage · video · audio · 3D · text

02unmatched speed

100,000 responses per hour. Inside your iteration loop, not after it.

Human evaluation is usually a slow part of model iteration. Teams wait for panels to be assembled, evaluations to finish, and reports to come back days later. Rapidata compresses that loop into minutes, so human feedback can guide development while models are still changing.

Checkpoint cadenceRun human eval on every checkpoint, not only before release. Catch regressions in hours instead of weeks.
Quality preservationSpeed doesn't come at the cost of quality. Every annotator is evaluated before they ever touch a customer task, and periodically re-tested over time.

100,000

people · per hour

03worldwide reach & targeting

The right people, not just the next people.

Access a diverse, vetted pool of human annotators. Target by language, country, device, domain expertise or qualify your own panel with task-specific examples.

Cultural fit isn't a "nice to have." It's the difference between a model that lands in Tokyo and one that only lands in San Francisco.

04the api

Python in, scores out.

Run human evaluation directly from your training or inference pipeline. Submit candidates, compare checkpoints, target evaluators, and retrieve structured preference signals through the SDK.

Read the API docs

evaluate_checkpoint.py

from rapidata import RapidataClient, LanguageFilter, CountryFilter

client = RapidataClient()

# Evaluate two checkpoints on the same prompts, in parallel
job_definition = client.job.create_compare_job_definition(
    name="Example Image Comparison",
    instruction="Which image matches the description better?",
    contexts=["A small blue book sitting on a large red book."],
    datapoints=[["https://assets.rapidata.ai/midjourney-5.2_37_3.jpg",
                "https://assets.rapidata.ai/flux-1-pro_37_0.jpg"]],
)

# Pick a curated audience and slice it down to your target markets
audience = client.audience.find_audiences("alignment")[0]

filtered_audience = audience.filter([LanguageFilter(["en", "es", "ja"]), CountryFilter(["US", "ES", "JP"])])

job = filtered_audience.assign_job(job_definition)
job.display_progress_bar()
print(job.get_results())

05where it fits

Pick the product that matches what you’re measuring.

Model Evaluation is the underlying capability, same humans, same speed, same API. These products are the shapes we ship it in.

Primary