Problem

Data is the industry of the future, but today's big data marketplace is flawed. In the past companies bought consumer information for advertising, but today’s companies want data created by providers to unlock insights through data science and machine learning. Currently, data resellers face problems acting as a middleman between data providers and data buyers.

Resellers can’t get data from providers. Providers don’t trust resellers to provide them with a revenue share of data sold, because there’s no transparency in a centralized marketplace. Resellers either buy data upfront from providers, or collect data without their involvement. Buying data upfront is not scalable and creates further challenges. Collecting data without the provider is the status quo, but regulations around the world (GDPR) are giving power back to providers to change this and the US is soon to follow.

Today, resellers buy fixed amounts of data directly from the apps where providers are creating data. To maximize their profit on limited data, resellers sell buyers as much data as possible -even though up to 50% of this data can be inaccurate or malformed (Deloitte 2017). Buyers can’t verify any quality assurance claims that might add value to data, so resellers aren’t incentivized to perform quality assurance which would reduce the amount of data they could sell. Low overall yield of useful data inflates the cost of data.

Solution

DataAgora is the first data marketplace powered by decentralized machine learning. Data scientists can train AI on data without needing to own it, and data providers can monetize their data while maximizing security and privacy. We take the place of a traditional data broker, aligning incentives between data providers and buyers with a transactional blockchain layer.

Data providers are remunerated for sharing access to data they generate. Data never leaves the premises of the data provider, and we provide an immutable audit trail to ensure the security and privacy of your data for all compliance purposes. We're working with a small number of enterprise data providers in our beta; if you are interested in providing high-quality data in our beta, please contact us.

Data scientists can access a rich, consistent and high quality source of data of any type for product development or research. We assure quality and prevent fraud with auditable machine learning techniques and our reputation system. We're working with a small number of enterprise developers in our beta; if you are be interested in acquiring high-quality data in our beta, please contact us.

Team


Ashwinee Panda

Georgy Marrero

Matthew Bond

Neelesh Dodda

Nicolas Zoghb

Demo

This is a demo of our iOS app.


This is a demo of the website.

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