Custom datasets for your AI use case
Data Collection
End-to-end dataset acquisition — text, voice, image, behavioral — matching your model's exact domain and demographic requirements.
Overview
What is Data Collection?
Off-the-shelf datasets often lack the domain specificity, demographic balance, or format precision needed for production AI. Custom data collection solves this gap precisely.
Why it matters: The quality of an AI model is fundamentally limited by its training data diversity. Purpose-built datasets trained on your exact domain dramatically outperform generic data sources.
Multi-Modal
Text, voice, image, video, and behavioral data collection
Diverse Contributors
Demographically balanced pools across age, gender, location, dialect
Consent & Compliance
Full GDPR consent management and data usage documentation
Custom Formats
Delivered in any format required by your ML pipeline
Workflow
How We Do It
01
Requirement Design
Define data specifications — domain, demographic distribution, format, and diversity targets.
02
Contributor Recruitment
Recruit diverse contributor pools matched to your target demographics and expertise areas.
03
Structured Collection
Data collected through controlled tasks with predefined prompts and metadata capture.
04
Cleaning & Validation
Raw data cleaned, deduplicated, and validated against quality thresholds.
05
Delivery
Dataset delivered with provenance documentation and usage licensing information.
Case Study
NLP Research Lab
NLP Research Lab
Collect diverse conversational data in 10 regional dialects
Solution
Recruited 500 contributors across target regions with structured conversation prompts
Results
50K
Conversations collected
10
Regional dialects
97%
Quality pass rate
Ready to Get Started with Data Collection?
Tell us about your project and we'll scope a pilot within 48 hours.