DeepMask provides a full-stack platform for enterprises to build, deploy, and run sovereign AI solutions, including LLMs and RAG pipelines. The platform emphasizes security and compliance with GDPR, ISO, and BSI standards, offering a secure alternative to foreign cloud hyperscalers. Companies utilize this service to securely scale AI use cases through fine-tuning, AI agents, and knowledge base integration.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations possess valuable proprietary data that could significantly enhance the performance of Large Language Models (LLMs) for specific industry applications. However, concerns about data security and privacy often prevent these organizations from fully leveraging their data to fine-tune LLMs. This limits their ability to create tailored AI solutions that address their unique operational needs.
Solution
DeepMask offers a secure and compliant platform that enables organizations to fine-tune industry-specific LLMs using their internal data without compromising data protection. The platform employs advanced encryption and access control mechanisms to ensure that sensitive data remains secure throughout the fine-tuning process. By providing a protected environment for data utilization, DeepMask empowers organizations to create custom LLMs that are optimized for their specific use cases, enhancing operational efficiency and unlocking the full potential of their proprietary information. This allows companies to leverage the power of AI while maintaining control and security over their valuable data assets.
Target Audience
DeepMask primarily targets organizations across various industries, including finance, healthcare, and legal, that seek to leverage their proprietary data to fine-tune LLMs for specific applications while maintaining strict data security and privacy.
Features
- Secure data upload and storage with end-to-end encryption
- Role-based access control to restrict data access to authorized personnel
- Fine-tuning environment with robust security protocols
- Compliance with industry-specific data privacy regulations
- Support for various LLM architectures and fine-tuning techniques
- Monitoring and auditing tools to track data usage and ensure compliance