PremAI

PremAI is a comprehensive suite of solutions designed to help enterprises harness the power of artificial intelligence while retaining full control, security, and scalability. The platform specializes in transforming private business data into specialized, high-performing language models without the complexity and cost of in-house development. It offers an end-to-end ecosystem, from data processing to model deployment, ensuring that sensitive information never leaves the company's secure perimeter.

At its core, PremAI champions the concept of 'Owning Your Intelligence'. It achieves this through its flagship products: Prem Studio, an autonomous fine-tuning agent, and the TrustML™ framework. The platform is built for data-sensitive and regulated industries, providing robust tools to build custom AI that is accurate, trustworthy, and auditable. Furthermore, PremAI is a significant contributor to the open-source community, offering powerful models like Prem-1B-SQL and the LocalAI platform for local inference.

How to use PremAI

PremAI simplifies the complex process of creating custom AI models into a streamlined, four-step workflow within its Prem Studio:

1. Build Datasets: Users can start by creating model-ready datasets from various sources. This includes raw documents (PDFs, DOCX), unstructured text, and even YouTube videos. The platform provides tools to automatically generate datasets from content, enrich existing data, or upload pre-formatted JSONL files.
2. Finetune Models: Once the dataset is ready, users can fine-tune top-tier open-source models. PremAI manages all the complex infrastructure. The platform offers smart recommendations to select the best base model for a specific task and automatically optimizes training parameters based on data patterns. Users can track training metrics and customize hyperparameters through interactive charts.
3. Evaluate Performances: After fine-tuning, it's crucial to assess the model's performance. PremAI provides a sophisticated evaluation toolkit. Users can compare their custom models against each other, base models, or even closed-source APIs. It supports standard metrics, custom evaluation criteria, and an AI-powered judging system for consistent quality scoring.
4. Instant Deployment: Trained models are instantly deployed to secure, scalable endpoints, making them ready for production use. These models can be accessed immediately via the provided SDK and API. Deployment can be configured with built-in compliance or within the user's own VPC for maximum data control.

Core Features of PremAI

• Prem Studio: An end-to-end platform for building specialized AI, covering dataset creation, one-click fine-tuning, advanced evaluation, and instant deployment.
• Autonomous Finetuning Agent: A multi-agent system that automates the transformation of raw data into production-ready AI models, requiring no machine learning expertise.
• TrustML™ Encrypted Framework: A state-of-the-art privacy-preserving framework that enables secure fine-tuning and inference on sensitive data using advanced encryption, without compromising confidentiality or performance.
• Absolute Data Sovereignty: Deploy models on-premise, in your own cloud account (e.g., AWS), or on bare-metal clusters. Users can download model weights, ensuring no vendor lock-in.
• Open-Source Contributions: Includes Prem-1B-SQL for local Text-to-SQL tasks, the Prem-1B Series for RAG, and LocalAI, a popular platform for running LLMs and other models on consumer-grade hardware.
• Smart AI Assistance: The platform provides AI-powered recommendations for model selection, parameter optimization, and smart routing of inference requests to the best model version.

Use Cases for PremAI

PremAI is ideal for organizations in highly regulated and data-sensitive industries such as:

• Finance: Developing custom models for fraud detection, risk analysis, and market sentiment analysis on private financial data.
• Healthcare: Creating AI for analyzing patient records, medical research, and clinical trial data while complying with HIPAA and other privacy regulations.
• Legal: Building specialized models for contract analysis, legal research, and e-discovery on confidential client information.
• Internal Enterprise Operations: Deploying secure RAG (Retrieval-Augmented Generation) systems for internal knowledge bases, creating custom Text-to-SQL agents for internal database queries, and developing specialized chatbots for customer support.

Advantages of PremAI

• Enhanced Security and Privacy: With on-premise/VPC deployment and TrustML™ encryption, businesses can leverage AI without exposing sensitive data.
• Cost and Performance Optimization: Custom models fine-tuned with PremAI can achieve up to a 70% reduction in price and 50% improvement in latency compared to general-purpose APIs.
• Accessibility and Ease of Use: The intuitive interface of Prem Studio allows teams to build sophisticated AI models without needing a dedicated team of ML engineers.
• Flexibility and Control: Avoid vendor lock-in with downloadable model weights and the freedom to deploy anywhere.
• Continuous Innovation: The platform is constantly updated with the latest advancements from PremAI's research team, ensuring users always have access to cutting-edge techniques.

Pricing and Plans

PremAI offers a tiered pricing structure to cater to different needs:

• For Developers (Free Plan): This plan is designed for individual experimentation and small projects. It includes 5 playground experiments per month, unlimited text datasets, 3 full and 3 LoRA fine-tuning jobs per month, 1000 inference requests per month, and access to standard evaluation metrics.
• For Enterprise (Custom Plan): This is a comprehensive package for businesses. It offers unlimited experiments, fine-tuning, evaluations, and inference. It also includes synthetic data generation, dedicated GPUs for inference, access to an RLHF dashboard for continued learning, flexible deployment options (on-premise, cloud, custom VPC), and dedicated support from the engineering team. Pricing is available upon contacting the sales team.