Designed for Precision. Built for Privacy. Scaled for the Future.
Not all data challenges can be solved with traditional sample collection. Low-incidence populations, incomplete datasets, and privacy-sensitive audiences require a different approach.
Correlix is DataDiggers’ high-integrity synthetic data engine, built to mirror real-world behavior while eliminating bias, preserving privacy, and ensuring statistical robustness.
Unlike generic data simulators, Correlix is grounded in validated inputs from our MyVoice proprietary panels and trusted partner networks.
Correlix combines advanced statistical methods with domain-specific machine learning to create synthetic datasets that reflect actual behavioral patterns — without storing or reproducing personal data.
It’s ideal for:
Augmenting datasets for segmentation, pricing, or concept testing
Simulating market shifts before they happen
Correcting bias in underrepresented samples
Scaling analysis without additional fieldwork costs
Even the most robust online panels face limitations in reach and representation.
Correlix addresses these by:
Filling data gaps in hard-to-reach segments
Modeling sensitive profiles without privacy risk
Accelerating scenario testing and forecasting
According to Gartner, 60% of organizations will use synthetic data for AI model training and analytics by 2024.
1. Define Your Objective
– segmentation, pricing, forecasting, or simulation.
2. Select Inputs
– validated survey data, secondary sources, or both.
3. Generate Synthetic Data
– using statistical modeling, bootstrapping, and pattern recognition.
4. Validate & Deliver
– fully documented, auditable datasets ready for analysis.
All outputs are:
GDPR compliant
ISO 20252:2019 aligned
Transparent, explainable, and reproducible
Example: Need insights on high-net-worth crypto investors in Southeast Asia? Or want to forecast dietary changes in response to climate policies? Correlix makes it possible without direct respondent access.
We never re-identify individuals or copy original survey responses. Correlix builds statistical representations, not replicas, using:
Verified patterns from high-quality research
Privacy-first frameworks
Custom algorithms aligned to your specific goals
Correlix integrates seamlessly with:
Looking to learn more about the difference between synthetic personas and synthetic data?
Explore Syntheo to meet your AI-driven digital respondents.
