Source · custom AI data collection services
Custom data collection
Collect custom text, image, video, audio and document data with consent tracking, contributor recruitment, quality controls and documented provenance.
Designed for
AI teams that need proprietary, representative or hard-to-source training and evaluation data.
TrainLayer does not treat custom data collection as a generic queue of tasks. The workflow is designed around the model objective, data rights, edge cases and the evidence required to accept delivery.
Scope this service ↗What you receive
Outputs tied to model performance.
Clear provenance and permitted-use documentation
Repeatable capture protocols across devices and environments
Pilot data before full-scale production
Delivery process
A controlled path from scope to export.
01
Define the model objective, population and edge cases
02
Design capture instructions, consent flow and acceptance rules
03
Run a representative pilot and review coverage gaps
04
Scale collection with continuous quality sampling
Capabilities
Built around the specification.
Exact workflows vary by modality and risk, but every engagement defines acceptance criteria before production scales.
Collection protocol design01
Contributor recruitment02
Consent and rights tracking03
Edge-case sourcing04
Where this applies
Related AI industries.
Generative AI
Instruction tuning, preference data, red-teaming, benchmarking and expert evaluation for language and multimodal models.
View industry solution →Computer vision
Image and video datasets for detection, segmentation, tracking, OCR, quality inspection and safety systems.
View industry solution →Voice AI
Multilingual speech collection, transcription, intent labels, speaker attributes, accents and noisy environments.
View industry solution →Frequently asked questions
What buyers usually ask.
What modalities can TrainLayer collect?+
We scope text, image, video, audio, speech, document and multimodal collection programs around the model requirement and intended use.
Can you collect multilingual data in India?+
Yes. Programs can account for language, region, accent, code-switching, device type and environmental variation instead of treating language as the only variable.
How are data rights documented?+
Projects can include contributor consent records, source provenance, permitted-use terms and delivery-level dataset documentation.
Start with the requirement
Scope a custom data collection program.
Share the use case, modality, volume and target outcome. We will reply with the questions needed to define a credible pilot.
Talk to TrainLayer ↗