The real-world data layer
for AI that ships.
Ayta sources, labels, and validates image, video, audio, and text data at scale — built for teams who need ground-truth, not guesswork.
One pipeline, every modality.
From a single pilot batch to a standing collection program — we run the recruitment, capture, and QA infrastructure so your model team never has to.
Vision Datasets
Selfies, environments, products, documents, and gesture capture — shot to spec, across the demographics and devices your model actually needs.
Speech & Audio
Read speech, spontaneous conversation, accent and dialect sets, environmental sound — recorded clean or in the wild, on purpose.
Text & NLP
Handwriting samples, transcription, structured surveys, and annotation work — with linguist-reviewed quality at every batch.
Multimodal & Localization
Paired image-audio-text sets and region-specific localization projects, built for teams training across markets and languages at once.
Specialized Capture
Healthcare-adjacent, automotive, and AR/VR datasets that need protocol-level rigor and informed-consent handling built in.
Managed QA & Delivery
Four-layer review, metadata validation, and clean handoff — raw assets, QA reports, and consent records, packaged the way your pipeline expects.
From brief to delivered dataset.
Every engagement runs the same disciplined sequence — small enough to move fast, structured enough to hold up under your model's QA bar.
Scope
Geography, demographics, volume, timeline, and budget locked before a single asset is collected.
Pilot
A small test batch validates instructions, speed, and quality before we scale spend or headcount.
Collect
Field network and recruitment channels activate against the approved pilot parameters.
Review
Four-layer QA — completeness, technical, guideline match, and random audit — on every batch.
Deliver
Packaged assets, metadata, QA reports, and consent records, handed off on your schedule.
Built for what your model is missing.
Trust is the product.
Datasets that fail review cost more than the ones that pass slowly. Every batch clears four independent checks before it reaches you.
Completeness
Every required field, file, and consent record is present before anything moves forward.
Technical validation
Resolution, format, duration, and signal quality checked against your spec automatically.
Guideline match
Human reviewers confirm each asset matches your project's exact collection brief.
Random audit
An independent sample is re-checked before delivery to catch what slips through.