Text-to-Model is a cutting-edge platform designed to simplify and democratize the process of fine-tuning large language models (LLMs) for custom applications. The platform automates the creation of AI solutions by transforming a simple natural language description into a synthetic dataset, which is then used to fine-tune a pre-trained model like LLaMA 3.2 (1B). Once fine-tuned, the models are deployed locally, enabling fast, private, and offline interactions. The architecture is designed to be highly adaptable and scalable, allowing users to fine-tune models based on their specific requirements, whether in customer service, education, healthcare, or other industries. By dynamically managing storage and memory, the system optimizes performance on most devices with just 0.75 VRAM required to run these models. Users can choose which models to keep on the device and download new ones when connected to the internet, giving them flexibility while avoiding memory overload. This pipeline also removes the need for complex Retrieval-Augmented Generation (RAG) pipelines, as the model is fine-tuned with the required knowledge embedded directly into it, allowing it to operate offline while delivering real-time responses. Additionally, the LlamaGPT Builder serves as a demo app for the Text-to-Model framework, showcasing how users can easily create, manage, and interact with AI models. In summary, Text-to-Model offers a powerful yet accessible solution for those looking to customize and deploy AI models, providing efficiency, privacy, and the ability to scale across industries.

Our AI-powered compliance auditor is designed specifically for enterprise legal workflows, leveraging IBM Granite in a way that truly adds value—not just using AI for the sake of it. Unlike general-purpose LLMs like GPT-4o or Claude, Granite is optimized for structured legal and compliance documents, making it more precise in contract analysis and regulatory assessments. This system doesn’t just generate answers—it retrieves and cross-references real compliance policies using Retrieval-Augmented Generation (RAG), ensuring that every response is grounded in actual legal sources, reducing hallucinations and increasing reliability. For enterprises, this means: ✔ Automated risk detection tailored to corporate policies. ✔ Custom fine-tuning—Granite improves based on feedback, ensuring company-specific compliance. ✔ Secure & enterprise-ready—Granite is built with governance and scalability in mind, ensuring AI remains compliant with data privacy and legal standards. This isn’t just another AI chatbot—it’s a domain-specific legal assistant that continuously improves, adapts, and delivers real business value where AI makes the most sense.