Real-world data, collected to your spec.
Off-the-shelf datasets run out of coverage fast. Ayta collects image, video, audio, text, and multimodal data directly from real people and real environments — sourced to the demographics, devices, geography, and conditions your model is actually missing.
One collection operation. Every modality.
Each category below is run by the same team, the same QA bar, and the same delivery process — so mixing modalities in one program doesn't mean mixing vendors.
Image Collection
Vision · IMGPhoto data shot to spec across products, documents, receipts, business cards, signage, and everyday scenes — indoors, outdoors, and in real retail environments.
Products
Product photography shot to spec for cataloging, recognition, or e-commerce datasets.
Documents
Document photos and scans captured under real-world lighting and handling conditions.
Receipts
Receipt imagery captured across formats and conditions for OCR and extraction models.
Business cards
Business card photos captured across layouts and print styles for extraction pipelines.
Signage
Street and storefront signage captured in context for detection and OCR models.
Indoor / outdoor scenes
Interior and outdoor environments captured across layouts, lighting, and geography.
Retail environments
In-store imagery captured for shelf, checkout, and store-layout recognition models.
Everyday objects
Common objects captured across angles, backgrounds, and real-world contexts.
Video Collection
Motion · VIDPOV and first-person footage, human activity, product interaction, and task-based video captured on location — not staged studio loops.
POV / first-person video
First-person footage captured from the collector's own point of view during a task.
Human activities
Everyday and task-specific activities filmed in natural, unscripted settings.
Product interactions
Hands-on interaction with real products filmed for recognition and interaction models.
Environment capture
Indoor and outdoor environments filmed across layouts, lighting, and geography.
Task-based video
A defined task filmed start to finish, exactly as it happens in the real world.
Motion and activity
Movement and activity captured across a range of speeds, angles, and conditions.
Audio Collection
Speech · AUDSpeech, conversation, and command recordings across languages, accents, and dialects, plus ambient sound — captured on the devices people actually use.
Speech
Read and scripted speech recorded across speakers, devices, and environments.
Conversations
Natural, unscripted conversation recorded for dialogue and speech models.
Commands
Voice command recordings captured for assistant and control-interface models.
Ambient sounds
Background and environmental sound captured for noise-robust speech models.
Multilingual speech
Recordings sourced across the languages your model needs to support.
Accent / dialect coverage
Speech sourced across regional accents and dialects to support coverage and fairness testing.
Text Collection
Language · TXTDocuments, forms, receipts, screenshots, web content, search queries, and conversational text sourced for language and retrieval models.
Documents
Document text sourced across formats for training and retrieval pipelines.
Forms
Form text and structure captured across templates and formats.
Receipts
Receipt text sourced across formats for extraction and parsing models.
Screenshots
Screen captures and their text content sourced for UI and web-understanding models.
Web content
Web page text sourced across sites and content types.
Search queries
Real search queries sourced to train and evaluate retrieval models.
Conversations
Conversational text sourced for dialogue and language models.
Multimodal Collection
Cross-modal · MULTIPaired image, video, audio, text, and metadata sets for models that need to reason across senses in real-world context.
Image + video + audio + text + metadata
Multiple modalities captured together in the same session, so they stay aligned to one real-world moment.
Cross-modal datasets
Datasets built for models that need to reason across two or more modalities at once.
Real-world contextual data
Context captured alongside the core data — environment, device, and situational metadata.
Need data collected on location rather than remotely? See Field Operations.
Have a data requirement?
Give us the specification — we'll build the operation around it.
Start a Pilot →