PremAI: Secure, Personalized AI Models for Enterprises & Developers

PremAI

3.5 | 265 | 0
Type:
Website
Last Updated:
2025/10/03
Description:
PremAI is an AI research lab providing secure, personalized AI models for enterprises and developers. Features include TrustML encrypted inference and open-source models.
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AI security
privacy-preserving AI
encrypted inference
open-source LLM
local AI

Overview of PremAI

PremAI: Own Your Intelligence with Secure, Personalized AI Models

What is PremAI? PremAI is an applied AI research lab dedicated to building a future where everyone can access sovereign, private, and personalized AI. They focus on creating AI solutions that prioritize security, transparency, and individual control over data.

Who is PremAI for? PremAI caters to both enterprises and developers, offering a range of products and resources to enable them to build their proprietary internal AI capabilities. This includes autonomous fine-tuning agents, encrypted inference frameworks, and open-source models.

Core Products

  • Autonomous Finetuning Agent: This multi-agent system transforms raw data into high-performing, production-ready AI models. It doesn't require machine learning expertise and can achieve up to a 70% reduction in price and a 50% reduction in latency improvements across most natural language tasks.
  • Encrypted Inference - TrustML™: TrustML™ is an advanced privacy-preserving framework that leverages state-of-the-art encryption. It allows secure fine-tuning and inference on AI models without compromising confidentiality or performance. This is crucial for handling sensitive data.

Open Source Initiatives

PremAI is committed to open-source development, fostering innovation and collaboration within the AI community. Here are some notable open-source projects:

  • Prem-1B-SQL: A local Text-to-SQL model with 1 billion parameters, designed for low GPU and CPU devices. It prioritizes data security by eliminating the need to expose databases to external systems. It allows users to query databases using natural language without sending data to external servers, ensuring data privacy and security.
  • Prem-1B Series: These open-source multipurpose language models focus on Retrieval-Augmented Generation (RAG). With a context length of 8192 tokens, the Small Language Model (SLM) is optimized for multi-turn conversations.
  • LocalAI: LocalAI is a free and open-source platform that enables local AI inferencing through a user-friendly REST API. Designed for seamless deployment on consumer-grade hardware, LocalAI allows you to run large language models (LLMs), and generate images, audio, and more, all within your infrastructure. It offers a local alternative to cloud-based AI services.

Research and Development

PremAI advances AI through transparent, secure, and explainable reasoning. Their Specialized Reasoning Models (SRM) embed clear, logical thinking into AI decisions, ensuring they're accurate, trustworthy, and easy to audit.

Alongside leading institutions like SUPSI and Cambridge University, their TrustML initiative pioneers advanced encryption methods, enabling secure, private AI operations on sensitive data.

Why Choose PremAI?

  • Sovereign AI: Build proprietary internal AI capabilities with full control over your data and models.
  • Privacy-Preserving: Protect sensitive data with TrustML™ and other advanced encryption methods.
  • High Performance: Achieve significant improvements in price and latency with autonomous fine-tuning agents.
  • Open Source Commitment: Benefit from and contribute to a thriving open-source community.

In conclusion, PremAI offers a comprehensive suite of AI solutions focused on security, privacy, and performance. Their commitment to open source and research makes them a valuable resource for enterprises and developers looking to leverage the power of AI while maintaining control over their data. The TrustML framework ensures data remains confidential, addressing a key concern in AI adoption. The availability of open-source models like Prem-1B-SQL and the LocalAI platform lowers the barrier to entry for developers interested in experimenting with and deploying AI solutions locally.

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