Tonic.ai

“Nothing that we tried in-house is comparable to what we’re doing now with Tonic. It’s a game changer both in terms of the automation we can achieve, as well as on-demand function validation targeting specific use cases with the precise data we need.” - Srikanth Rentachintala, Director of Buyer Experience Engineering at eBay Check out our latest case study to learn how eBay is using our advanced subsetting and data de-identification tools to shorten development cycles and fuel their automated testing suite. https://lnkd.in/eX8fW3n

How do you ensure compliance while unlocking the full potential of AI? We’ve published a comprehensive guide to help you navigate the complexities of AI compliance. Whether you’re training models, deploying generative AI solutions, or scaling proprietary systems, this guide dives into: ✅ Best practices for safeguarding sensitive data ✅ Key compliance challenges and how to overcome them ✅ Tips to align your AI workflows with privacy and security standards Read the full guide here: https://lnkd.in/gZgf9cNP

The next big leap in AI lies in training domain-specific models on sensitive, private data. Is your data usable? On February 26th, join NVIDIA’s Brad Genereaux and Tonic.ai’s Adam Kamor as they share actionable insights into: - Optimizing domain-specific AI model training - Synthesizing sensitive healthcare data - Implementing actionable strategies for AI success This webinar will prepare you to tap into the new frontier of AI—without compromising privacy or compliance. 👉 Register here: https://lnkd.in/ePrHifeN

Data privacy isn’t just a box to check in financial services—it’s the foundation for trust and innovation. With Tonic.ai, financial institutions can: 🔒 Protect sensitive customer data with industry-leading de-identification 📈 Accelerate software testing, AI training, and analytics with high-quality synthetic data ⚡ Build secure, compliant workflows that don’t slow your developers down Learn how we’re helping financial services accelerate innovation: https://lnkd.in/gQZ4ab9j #DataPrivacy #FinancialServices #AI #SyntheticData

LLMs are powerful tools, but they come with risks. 👋 When you're fine-tuning models or building Retrieval-Augmented Generation (RAG) systems, safeguarding PII and PHI is non-negotiable. This guide dives into: - The best LLM security tools on the market. - How to balance privacy compliance (HIPAA, GDPR) with data utility. - Features like encryption, threat detection, audit trails, and more. Discover how tools like Tonic Textual stand out in protecting sensitive data while keeping your AI workflows fueled. 👉Read the guide here: https://lnkd.in/ePtWcpKD #DataPrivacy #AI #LLMSecurity #SyntheticData #GenerativeAI

Our Co-Founder and Head of Engineering, Adam Kamor, recently shared his insights with Finextra about why data usability is the linchpin for successful model training—especially when it comes to generative AI. 💬 "Generative AI isn’t just about building the best models—it’s about starting with the best data. Without that foundation, you’ll never achieve the results you’re looking for." Read the full article to dive into Adam’s perspective and see how solutions like ours are upleveling model training across industries: https://lnkd.in/e5mQCf4V

Can you guess who this is? We used Tonic Textual to de-identify a profile. They can be real or fictional characters.  Play the game on our instagram (@tonicfakedata) and for a chance to win $15! Follow us (on IG) to be notified of the next challenge! Tonic Textual helps redact sensitive information so that you can use leverage the insights in your unstructured data while maintaining privacy! #AI #MachineLearning #DeepLearning #LLMdevelopment #ArtificialIntelligence #AICommunity #NLP #GenerativeAI #LLMs #AIModelTraining #AIResearch #FutureOfAI #aimodeltraining #aiproductDevelopment 

🚨Upcoming webinar with NVIDIA! Join us on February 26th at 10 AM PT / 1 PM ET for a live webinar with: 🎤 Brad Genereaux, Global Healthcare Lead at NVIDIA 🎤 Adam Kamor, Co-Founder & Head of Engineering at Tonic.ai We’ll discuss: - 2025 trends in AI model training - Navigating sensitive healthcare data challenges - Real-world examples of leveraging healthcare data in LLM workflows - Best practices for secure, compliant AI development 📅 Save your seat now: https://lnkd.in/ePrHifeN

Join us and NVIDIA on February 26th at 10am PT / 1pm EST. Publicly available data powered AI’s early days, but the future lies in domain-specific models trained on sensitive, private data. Learn how highly regulated industries, like healthcare, are leveraging private datasets for unparalleled AI innovation. You can register 👇

Ready to level up your chatbots? Our latest guide walks you through how to build a #RAG chatbot—step by step. From data preparation to deployment, this guide has everything you need to create a chatbot that’s reliable, accurate, and privacy-first. Whether you’re building for customer support, knowledge management, or AI-driven innovation, this is your ultimate resource. Learn how Tonic.ai simplifies the process with Tonic Textual to ensure your chatbot has high-quality, privacy-preserving training data. ➡️ https://lnkd.in/eMCftRKn #RAG #Chatbots #AI #TonicAI #DataPrivacy