Tonic AI

👋 Hey Product Hunters My name is Adam, Co-Founder and Head of Engineering at Tonic.ai. I’m here and very excited to launch our newest product, Tonic Textual: the world’s first secure data lakehouse for LLMs. The real magic of generative AI is evident when you provide foundation models access to your own private data. But this is no easy feat because you can’t just feed a foundation model your raw documents for a myriad of reasons (risk of data leakage or model memorization, context window limits, lack of native OCR capabilities, latency, embedding…the list goes on). We built Tonic Textual to help AI practitioners spend less time on data preparation and more time on data science—a testament to our mission to protect data privacy without bottlenecking development. Before I get into the weeds, I want to invite the Product Hunt Community to try Tonic Textual for yourselves for FREE: https://www.tonic.ai/textual. Simply stated, Tonic Textual allows you to build generative AI systems on your own unstructured data without having to spend time extracting and standardizing your data. In minutes you can build automated, scalable unstructured data pipelines that extract, centralize, standardize, and enrich data from your documents into an AI-optimized format ready for embedding, fine-tuning, and ingesting into a vector database. While in-flight, we also scan for sensitive information and protect it via redaction or synthetic data replacement so your data is never at risk of leaking. With Tonic Textual, you can: 🛠️ Extract Identify and access unstructured data from siloed and complex sources, parse it into its component structures, and seamlessly unify it across a variety of formats and locations. Along the way, we’ll also harvest valuable document metadata to enrich your datasets. 🛡️Govern Categorize sensitive information and important entities within your unstructured data using Textual’s proprietary NER models and optionally redact and replace sensitive data with synthetic data to safeguard privacy and adhere to data protection regulations and standards. ✨ Enrich Enhance the quality and utility of your data with metadata enrichment, contextual entity tags, synthetic data replacement, format standardization and optimization, and chunking. 🚀 Deploy Deploy your enriched data for fine-tuning LLMs and RAG. Generate embeddings, integrate with vector databases, and maintain continuous data delivery pipelines to ensure a steady flow of high-quality data ready for embedding, fine-tuning, or RAG ingestion. Tonic Textual is free to experience for yourself—no need to talk to salespeople! Sign up here today at https://www.tonic.ai/textual. We're excited to hear what you think, and we're all ears for any feedback or questions you might have!

🎉 We're super excited to share the launch with you today! The Tonic Textual team will be here responding to questions, feedback, and other musings throughout the day - so please let us know what you think. As @adam_kamor mentioned, we encourage you to try out the product for yourself, completely free -- click on the "Visit" button above to create an account and start using your unstructured data for RAG and fine-tuning in minutes!

Congrats Tonic Team, Tonic Textual makes data science look easy!