
Prem
PremAI develops secure, private, and customizable AI solutions for both enterprises and individual users, ensuring sovereignty in AI technology.
About Prem
PremAI is an innovative AI research and development lab committed to creating accessible, sovereign, and private AI solutions. They specialize in building secure, personalized AI models for enterprise and consumer markets. Their key offerings include an Autonomous Finetuning Agent and TrustML™-powered encrypted inference, ensuring data privacy. Prem also promotes transparent and explainable AI through Specialized Reasoning Models (SRM). Their open-source models, such as Prem-1B-SQL and the Prem-1B Series, support Retrieval-Augmented Generation (RAG) for versatile AI applications.
How to Use
Begin by exploring PremAI's suite of products tailored for enterprise and personal AI needs. Use their Autonomous Finetuning Agent to convert raw data into effective AI models, or leverage TrustML™ for secure, encrypted inference. Access open-source models and comprehensive documentation to deploy local AI inference seamlessly.
Features
- Open-source AI models including Prem-1B-SQL and Prem-1B Series
- Encrypted inference technology with TrustML™
- Specialized Reasoning Models (SRM) for transparent AI reasoning
- Local deployment platform for AI inference
- Autonomous Finetuning Agent for easy model training
Use Cases
- Securely fine-tune AI models with sensitive data
- Develop explainable AI applications
- Build proprietary AI capabilities within organizations
- Implement local AI inference on consumer hardware
- Create custom AI models without extensive machine learning knowledge
Best For
Pros
- Reduces reliance on expensive third-party solutions
- Offers open-source AI models for customization
- Incorporates advanced privacy-preserving technology with TrustML™
- Focuses on sovereignty, privacy, and personalized AI
- Provides solutions for both enterprise and individual users
Cons
- Pricing details may require direct contact for information
- Some products are upcoming and not yet available
- Benchmark results for certain models are still in development
