One partner. Every modality.
From image and video to audio, text, and multimodal capture — Ayta runs collection, annotation, and QA as one connected operation, not a handoff between vendors.
Images
Vision · IMGReal-world photo data shot to your exact spec — selfies, household and outdoor environments, product shots, and document scans, across the demographics, devices, and lighting conditions your model is missing.
Selfie sets
Self-captured photo sets sourced across demographics and devices.
Environments
Indoor and outdoor environments captured across layouts and lighting.
Product images
Product photography shot to spec for cataloging, recognition, or e-commerce datasets.
Document scans
Document photos and scans captured under real-world lighting and handling conditions.
Video
Motion · VIDHuman activity and motion footage for vision and robotics models — gesture recordings, device interaction clips, and scenario-based scenes filmed by real people in real settings, not staged studio loops.
Activity recordings
Everyday and task-specific activities filmed in natural, unscripted settings.
Gesture sets
Hand and body gestures recorded for interaction and control models.
Device interaction
Hands-on interaction with real devices filmed for interaction models.
Scenario capture
A defined scenario filmed start to finish, exactly as it happens in the real world.
Audio & Speech
Speech · AUDRead and conversational speech, accent and dialect coverage, and ambient sound, recorded on the devices people actually use. Built for speech models that need to perform outside a clean studio mic.
Read speech
Read and scripted speech recorded across speakers, devices, and environments.
Conversational sets
Natural, unscripted conversation recorded for dialogue and speech models.
Accent coverage
Speech sourced across regional accents and dialects to support coverage and fairness testing.
Environmental sound
Background and environmental sound captured for noise-robust speech models.
Text & NLP
Language · TXTHandwriting samples, transcription work, structured survey response, and annotation tasks — reviewed by linguists, not just spell-checked, so labels hold up against your model's actual training pipeline.
Handwriting
Handwritten samples captured across styles and languages for OCR and recognition models.
Transcription
Speech or handwriting converted to accurate text for training and retrieval pipelines.
Surveys
Structured survey responses collected for language and preference datasets.
Annotation
Text labeled to your taxonomy — classification, entities, or relevance, depending on your task.
Multimodal & Localization
Cross-modal · MULTIPaired image-audio-text sets for models that need to reason across senses, plus region-specific localization projects for teams training across multiple markets and underrepresented languages at once.
Paired datasets
Datasets built for models that need to reason across two or more modalities at once.
Regional localization
Content adapted and validated for specific regional markets.
Low-resource languages
Data sourced in languages that are underrepresented in most existing datasets.
Specialized Capture
Regulated · SPECHealthcare-adjacent, automotive, and AR/VR datasets that need protocol-level rigor — informed consent built into collection from day one, not bolted on after the fact for compliance review.
Healthcare-adjacent
Datasets adjacent to healthcare use cases, built with protocol-level consent from day one.
Automotive
Data captured for automotive and driver-assistance model training.
AR / VR
Data captured for augmented and virtual reality model training.
Consent-verified
Every participant's consent is documented and verifiable for the dataset delivered.
Start a pilot
Tell us which data type and rough scope. We'll come back with a pilot plan within one business day.
Every data type ships through the same QA bar.
Regardless of modality, nothing reaches you until it clears our full quality system — from contributor validation to client acceptance.