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In a world where connectivity is assumed, what happens when your most critical AI operations need to function completely offline?
Apr 9, 2025
Revolutionize your recruitment process with private AI technology that processes candidate data on your own infrastructure, saving hours while maintaining complete data sovereignty and compliance.
Exploring how AI is transforming business through the problem-solution space framework.
Discover how Zylon's truly private AI architecture keeps your data secure within your own infrastructure, ensuring data sovereignty for regulated industries without sacrificing AI capabilities.
In private AI, guesswork is a luxury we can't afford. That's why Progressive Quality is our core principle—we continuously improve our systems through measurable steps, not intuition.
Zylon's new Bulk Q&A Agent Flow transforms how engineering, infrastructure, and manufacturing companies respond to RFPs, security questionnaires, and technical documentation.
8.5% of AI prompts contain sensitive data. Yet, 64% of employees use AI tools like ChatGPT without safeguards. CISOs ignoring this should understand the risks they are assumming...
Myth: Running in-house Private AI is hard. Reality: It's not just hard—it's damn near impossible... unless you're using Zylon. Here's why...
PrivateGPT Recipes, public roadmap and much more!
A comprehensive analysis on the different levels of Privacy available for AI adoption
PrivateGPT reaches 50K GitHub stars and releases v0.5.0
PrivateGPT v0.4.0: More modular, more powerful!
PrivateGPT v0.3.0: Enhanced Features, Bug Fixes, and API Upgrades
Zylon emerges from stealth with its $3.2M Pre-Seed founding round led by Felicis aiming to revolutionize GenAI usability and privacy
Beyond the charm: the pitfalls of 'magic buttons' and how Zylon brings clarity to AI for everyday use.
Going from proof of concept to production-ready service to create Private Contextual GenAI apps