Turn your company knowledge base into instant answers
Mojar.ai transforms your company’s knowledge into a self-learning AI support agent. Connect your docs, FAQs, custom text input, or files and deploy it anywhere on your website or help center in minutes. Unlike other CX tools, Mojar adapts from feedback, updates automatically, and delivers reliable, source-backed answers that cut repetitive tickets, boost satisfaction, and keep your brand voice consistent across every interaction. Enterprise-ready, privacy-focused, and on-premise capable.
I’m Adi, co-founder of Mojar.ai — a project born from years of building tools for other companies and finally deciding to build one that solves a problem we kept seeing everywhere. Teams and customers constantly waste time searching for answers hidden across docs, emails, and chat threads. We built Mojar to fix that — an AI support agent that actually understands your business, learns from feedback, and gives source-backed answers instantly. What makes Mojar different is how easy it is to set up
Congrats on the launch! What is the perfect use case? And the perfect type of customers to your solution?
Hey Product Hunt! 👋 I’m Iulian (but literally everyone calls me Bob), Software Engineer at Mojar.ai Mojar AI helps turn your docs into an AI agent that actually knows your stuff and never hallucinates. You can try it at https://mojar.ai — break it, roast it, tell us what’s missing. I’m really happy I got to contribute to this with such an amazing team! Thanks for checking us out! Bob
We probably built Mojar to cover too many use cases, but that’s also its strength. It can be your enhanced documentation tool. It can be your support chatbot. It can be your internal, private knowledge base. It’s built with modularity and scalability in mind, so you can even self-host it. We also offer connectors for self-hosted LLMs to help you stay fully compliant with the privacy agreements you have with your customers. Our background is in company digitalization and technology, and we’ve bee
Congrats on the launch! Personally I think Product Hunt should adopt something like this - their support desk is broken and not helping at all.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.