LyzrGPT is a private, enterprise-grade AI chat platform built for security-first teams. Deploy it inside your own ecosystem to keep data fully private. Switch between multiple AI models like OpenAI and Anthropic in the same conversation, avoid vendor lock-in, and retain secure contextual memory across sessions. Built for enterprises and regulated industries.
Hey Product Hunt 👋
We built LyzrGPT because enterprises told us the same thing again and again:
“We want ChatGPT-level intelligence, but we can’t risk our data leaving our environment.”
LyzrGPT is a private, enterprise AI chat platform that runs inside your own ecosystem. Your data stays with you. No vendor lock-in. Full control.
You can also switch between multiple AI models (like OpenAI or Anthropic) within the same conversation and maintain secure, long-term context across sessions.
We’d love your feedback:
1. What’s stopping your org from adopting AI chat today?
2. What security or compliance concerns do you face?
Happy to answer questions in the comments. Thanks for checking us out 🙌
Private chat is only half the story—things get interesting when memory, model switching, and access controls stay consistent over time. We’ve seen how tricky that balance becomes once enterprise agents rely on persistent context while building GTWY.
Congrats on the launch! Private-by-default AI chat with model switching in a single thread feels very aligned with how enterprises actually work, especially when context needs to persist safely over time. How LyzrGPT handles long-term context governance, for example, how teams review, expire, or scope conversation memory so it stays useful without becoming risky or outdated.
Wow, LyzrGPT looks amazing! Love the model-agnostic approach. How does it handle data residency requirements across different cloud providers when switching between models? Super curious!
When a buyer compares you to rolling their own stack with an open-source UI + an LLM proxy and buying a secure enterprise chat from a big vendor, what are the 2–3 decisive differences that reliably make them choose LyzrGPT—and where do you intentionally not compete?
Running the AI chat inside the company’s own ecosystem is a big trust unlock.
Curious how difficult deployment typically is for enterprises with complex infra. Is this closer to plug-and-play or a guided rollout?
A great idea and really understands business needs for compliance. Checked a bit and the fact that you can create these agents or employees to handle tasks that usually are handled by humans without compromising on compliance or quality is amazing. I believe in the idea. Just as a feedback, I believe the landing page is quite dense and can benefit from a clearer structure. Wish you all the luck
So many Enterprises can benefit from this! I have seen a couple of them spending months on R&D and then finally creating a somewhat okay, brittle internal solution. This will not only reduce that time drastically but also the employees finally get to use something that actually works and do not have to end up using the public softwares to get work done. Kudos to the team for such a good job!
When you say data stays on your server, does that mean the files remain there but relevant information is still sent to GPT or Anthropic as context? How does that work?
Found great use cases for enterprise and individual uses, do check it out!!