Encloud provides encrypted Generative AI solutions tailored for regulated industries, enabling enterprises to deploy custom AI models on encrypted data while maintaining strict confidentiality. This technology addresses the risk of data exposure during AI processing, ensuring compliance with emerging regulatory standards such as the EU AI Act.
Funding
$970K 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
Enterprises in regulated industries face significant challenges in maintaining data confidentiality when using Generative AI (GenAI) due to the risk of data exposure to cloud vendors, system administrators, and model providers. This lack of security poses compliance risks, especially with emerging regulations like the EU AI Act, which mandates state-of-the-art privacy technologies.
Solution
Encloud provides encrypted Generative AI solutions that enable enterprises to deploy custom AI models on encrypted data, ensuring strict confidentiality and compliance. The platform integrates with existing data repositories, allowing users to upload encrypted data or utilize a turnkey encryption solution. Encloud leverages optimized open-source language models, such as Llama, Mistral, and Phi, as well as proprietary models, while providing enterprise-grade roles and permissions to define access to input datasets and model outputs. Users can securely query encrypted data through an interface or API, receiving accurate and auditable outputs for internal use or further AI processing.
Target Audience
Encloud primarily targets enterprises in regulated industries, such as finance, healthcare, and government, that require secure and compliant Generative AI solutions.
Features
- End-to-end encrypted and auditable GenAI using confidential computing technology
- Integration with data lakes, warehouses, and file stores
- Support for open-source and proprietary language models
- Enterprise-grade roles and permissions for data access control
- Optimized AI tools to maximize accuracy and relevance of outputs
- Flexible deployment options: in-cloud, on-prem, and via APIs
- Agnostic to hardware, language model, and vector stores