Your program, fully managed.

Hand the whole program to our team - evaluator sourcing, quality assurance, calibration, and project management - on the same verified pool and research-grade stack.

End-to-end
Delivery
Dedicated
Project team
Same pool
Verified participants
Your program, fully managed

Your data program,
run for you.

A managed team turns your requirements into delivered datasets.

01

Scope & staff

We translate your spec into a recruit, a task design, and a plan.

Setup
Spec turned into a recruit & task design
Managed team staffed
Delivery plan set
02

Run & QA at scale

Tasks fielded, monitored, and quality-controlled continuously.

In the task
Tasks fielded & monitored
Continuous quality control
Scaled throughput
03

Delivered, audited data

Structured, documented datasets - on time, on spec.

Delivered
Structured & documented
On time, on spec
Fully audited

A loop that compounds.

Real human judgment, on a loop.

Improve your models with feedback from real, verified participants.

Recruit, gather human judgment, train, and evaluate - then run it again.

The loop
Recruit verified participants
Collect human feedback
Train & align
Evaluate & benchmark
Every cycle improves the model
01 Recruit verified participants
02 Collect human feedback
03 Train & align
04 Evaluate & benchmark

Built for high-quality AI data.

Verified human expertise, quality controls, and the full pipeline - from evaluation to fine-tuning.

Verified human expertise
01

Verified human expertise

Domain experts and everyday users - identity-verified across 150+ countries and 100+ languages.

Domain expertsNative speakers4.3M+ verified
Quality controls built in
02

Quality controls built in

Attention checks, inter-rater agreement, and fraud prevention keep every dataset clean.

Identity verifiedPass
Agreement scored0.91
Fraud kept outClean
The full pipeline
03

The full pipeline

Evaluation, preference data, annotation, and fine-tuning - delivered into your stack via API.

EvaluationRLHFAnnotationAPI delivery

One panel for every data need.

Evaluation, alignment, and fine-tuning data - from the same verified human network.

Evaluation & red-teamHuman judgment
Jesse T.
AI evaluator · verified
Rate & rank model outputSCORED
Adversarial red-teamingSAFETY
Benchmark model to modelBENCH
Real human judgment - not synthetic scores
Preference & alignmentStructured
Daniel K.
Preference rater · RLHF
Pairwise preference dataRLHF
Instruction & demonstrationSFT
Iterated on a cadenceLOOP
Alignment data your pipeline can ingest directly
Fine-tune & annotateAny modality
Sammy L.
Domain expert · fintech
Text, image, audio & videoMULTI
100+ languages & culturesGLOBAL
Domain-expert annotationEXPERT
Training data across every modality and market

A global network of verified experts.

Wherever your model ships, recruit the real people who can judge it - by domain, language, and culture.

Verified participants 1M+ 100K–1M 20K–100K 5K–20K <5K No coverage

150+ countries

Recruit experts and everyday users wherever your model is used - real local judgment, not a US-only sample.

100+ languages

Multilingual and cross-cultural data from real native speakers - for models that work everywhere.

Verified & fraud-free

Identity-checked participants, sourced directly - never scraped, borrowed, or synthetic.

The quality of Respondent participants is generally much higher. I expect a very low no-show rate, and I know they are who they say they are.
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