Datasets sourced to your domain and demographics.
Overview
What is data collection?
Off-the-shelf datasets often lack the domain specificity, demographic balance or format precision production AI needs. Custom collection closes that gap.
A model is limited by the diversity of its training data. Purpose-built datasets on your exact domain outperform generic sources.
Text, voice, image, video and behavioral data collection.
Balanced pools across age, gender, location and dialect.
Full GDPR consent management and data usage documentation.
Delivered in any format your ML pipeline requires.
Workflow
How we do it
- 01Requirement design
Define specifications: domain, demographic distribution, format and diversity targets.
- 02Contributor recruitment
Recruit contributor pools matched to your target demographics and expertise.
- 03Structured collection
Data collected through controlled tasks with predefined prompts and metadata capture.
- 04Cleaning & validation
Raw data cleaned, deduplicated and validated against quality thresholds.
- 05Delivery
Dataset delivered with provenance documentation and usage licensing.
Case study
Collect diverse conversational data in 10 regional dialects
500 contributors recruited across target regions, with structured conversation prompts.
Ready to get startedwith data collection?
Tell us about your project and we will scope a pilot within 48 hours.