Every data type your model is trained on.
Ayta runs field collection across five core modalities. Pick what you need below, or send us a brief and we'll scope the mix.
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.
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.
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.
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.
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.
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.
Get started
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 completeness checks, technical validation, guideline match, and random audit.