Datalis Overview
Datalis offers a unique solution in the data economy by creating a bridge between individuals who want to monetize their data and AI labs that require real-world data for model evaluation. Unlike other services that sell raw user information, Datalis operates on a strict privacy-first model. It only collects and exports aggregated, anonymized data panels, using techniques like k-anonymity to ensure individual users remain completely invisible. This ethical approach allows users to contribute to the development of fairer AI and earn rewards, while providing developers with the ground-truth data needed for bias testing and robustness checks.
How to use Datalis
For Users:
1. Sign up and create a basic profile with information like age band and postcode.
2. Opt-in to share anonymous location data through your phone.
3. Accumulate points from day one as your data is included in aggregated panels.
4. Convert your points to cash rewards once the platform officially launches.
For AI Labs/Developers:
1. Request access to the 30-day free pilot program.
2. Receive aggregated and anonymized demographic and location datasets in CSV or Parquet format.
3. Use the consent-verified data to conduct fairness and bias testing on your AI models.
4. After the pilot, discuss a potential subscription or Letter of Intent (LOI) for continued access.
Core Features of Datalis
- Privacy-First Architecture: All data is aggregated and anonymized using k-anonymity, with no raw or personal data ever being exported.
- User Data Monetization: Allows users to earn real money (estimated $10–$50/month) for contributing their anonymized data.
- Consent-Verified Datasets: Provides AI labs with ethical, ground-truth data panels for model evaluation and bias testing.
- Opt-Out Anytime: Users have full control and can withdraw their consent and stop sharing data at any point.
- Secure Infrastructure: Hosted on Australian servers with a global-ready architecture.
- Pilot Program for Developers: A 30-day free pilot for organizations to test the datasets for AI fairness and robustness.
Use Cases for Datalis
For AI Developers & Researchers:
- Testing AI models for demographic bias (e.g., age, gender, ethnicity).
- Evaluating model fairness and robustness with real-world, aggregated data.
- Sourcing ethical, consent-based ground-truth data for research.
For Individuals:
- Earning passive income by securely sharing anonymized data.
- Contributing to the development of more ethical and unbiased AI technologies.
Advantages of Datalis
Datalis creates a transparent and ethical data economy. For users, it offers a secure way to profit from their data without the risks of exposure associated with raw data brokers. For developers, it solves the critical challenge of sourcing high-quality, consent-verified data to build responsible and fair AI systems. The model is built on trust, with user consent and privacy at its core, and is backed by the venture capital firm Antler.
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