Memri provides a privacy-centric machine learning platform that allows users to upload and manage their data in an encrypted personal Data Wallet, ensuring sole access and control. This approach enables businesses and developers to build AI solutions while maintaining compliance with data regulations and enhancing user trust through data sovereignty.
Funding
$2.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Current AI development often faces challenges related to data access, compliance with evolving data regulations, and building user trust due to concerns about data privacy and security. Traditional methods can lead to data silos, increased security costs, and difficulties in obtaining user consent for data usage.
Solution
Memri offers a privacy-centric machine learning platform centered around personal data sovereignty. The platform enables users to upload and manage their data within an encrypted personal Data Wallet, ensuring they retain sole access and control. This approach allows businesses and developers to build AI solutions while adhering to data regulations, reducing the risk of system-wide breaches, and fostering user trust. By giving users control over their data, Memri facilitates access to larger and more varied datasets for improved model training and AI application development.
Target Audience
The primary target audience includes businesses and developers seeking to build AI solutions while maintaining data privacy, complying with regulations, and fostering user trust, as well as individuals concerned about data sovereignty and control.
Features
- Encrypted personal Data Wallets for users to securely store and manage their data.
- User-controlled data sharing, allowing individuals to selectively contribute data to AI projects.
- Privacy-preserving plugins for developers and data scientists to access permitted data streams.
- Serverless AI cloud platform, eliminating the need for infrastructure maintenance.
- User-level encryption to ensure data privacy and security during AI workflows.
- Model selection and inference execution with minimal setup.
- Open-source community and no system lock-in.