Prem AI

Prem AI is an applied AI research lab and product ecosystem focused on sovereign, private, and personalized AI. The platform provides enterprise-grade solutions, open research models, and consumer-facing AI capabilities designed to give users ownership and control over their data and AI workflows. Core offerings center on private inference, secure fine-tuning, explainable reasoning, and locally deployable AI solutions for diverse environments.

Key Concepts

• Sovereign, private AI: tools and frameworks that keep data under user control, even during training and inference.
• Production-ready customization: streamlined pathways to build, fine-tune, and deploy AI models without requiring deep ML expertise.
• Transparent reasoning: models and tools that emphasize auditable, explainable decision-making.

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Core Products and Technologies

• Autonomous Finetuning Agent: a multi-agent system that converts raw data into performant, production-ready AI models without deep ML expertise. Claims up to 70% cost reduction and 50% latency improvements across many NLP tasks when creating custom models.
• Encrypted Inference - TrustML: privacy-preserving inference and fine-tuning framework enabling secure AI operations without compromising confidentiality or performance.
• Specialized Reasoning Models (SRM): embedded logical thinking in AI decisions for accuracy, trustworthiness, and auditability. Collaborations with SUPSI and Cambridge University under the TrustML initiative.
• Prem-1B-SQL: local, 1B-parameter Text-to-SQL model designed to operate on-device without exposing databases externally. Open-source with upcoming benchmark updates.
• Prem-1B Series (RAG-focused): open-source language models optimized for Retrieval-Augmented Generation with long context (8192 tokens) for multi-turn conversations.
• Local AI (LocalLocalAI): free, open-source platform for local AI inference via a REST API, enabling LLMs, image, audio generation on consumer hardware.
• Enterprise Solutions: strategic partnerships with enterprises to accelerate AI innovation while keeping data secure and under client control.
• Consumer AI Products (AI Playground, Sid Framework): user-friendly tools for building personalized AI agents, with an emphasis on privacy and ownership.
• Deployment Engine / Evolution System: infrastructure and tooling to deploy, evolve, and manage proprietary AI capabilities in production.

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How It Works

• Build private AI capabilities: leverage Autonomous Finetuning to transform client data into customized models without exposing data to third-party services.
• Ensure privacy by design: use TrustML for encrypted inference and secure fine-tuning, preserving confidentiality across the AI lifecycle.
• Enable explainable AI: rely on SRM to produce auditable and logically sound AI decisions.
• Local-first deployment: deploy models on local infrastructure where feasible (LocalAI-centric workflows) to avoid data exposure.
• Enterprise-grade governance: employ secure deployment engines and evolution systems to manage, audit, and scale AI assets.

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Use Cases

• Enterprises needing private, cost-efficient, and auditable NLP models.
• Teams requiring local inference with strong data privacy guarantees.
• Researchers and developers seeking open-source, transparent AI models with RAG focus.
• Organizations aiming to minimize reliance on external ML infrastructure while maximizing performance/per-token efficiency.

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Safety and Privacy Considerations

• Data sovereignty: solutions designed to keep data within user-controlled environments.
• Encryption-first: emphasis on encrypted inference and secure fine-tuning to prevent data leakage.
• Auditable reasoning: SRM-based models provide traceable decision processes for governance and compliance.

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How to Get Started

• Explore product and research documentation to learn integration points for Autonomous Finetuning and TrustML.
• Consider Local AI for on-premises inference needs.
• Assess enterprise deployment options to scale private AI across teams while maintaining security.

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Target Audience

• Enterprises seeking private, production-ready AI assets.
• Researchers and developers focusing on secure, explainable AI.
• Organizations prioritizing data ownership and on-premises AI deployment.

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Summary of Core Features

• Autonomous Finetuning Agent for rapid, production-ready model creation without ML expertise
• Encrypted Inference via TrustML for privacy-preserving on-device AI
• Specialized Reasoning Models (SRM) for auditable AI decisions
• Prem-1B-SQL and Prem-1B Series for local, RAG-enabled language modeling
• Local AI platform for on-device LLMs, image, and audio generation
• Enterprise-grade solutions to secure data and control AI assets
• Consumer-facing AI tools and playgrounds for private, personal AI agents
• Deployment Engine and Evolution System for scalable, governed AI deployments