CapeChat automatically encrypts your documents and redacts any sensitive data. It’s powered by the ChatGPT API, so you get the best language model while preserving your privacy.
Hello Product Hunt! 🚀
We built CapeChat so you can chat privately and securely with your documents.
CapeChat automatically encrypts your data and redacts any sensitive details. It’s powered by the ChatGPT API, so you get the best language model while preserving your privacy.
CapeChat is fully self-serve, free to use, and available today!
Here’s what you can accomplish with CapeChat:
✅ Upload sensitive documents like contracts, financials, and meeting notes.
✅ Ask questions, summarize, calculate or anything else you can think of.
✅ Transform messy documents into organized, structured data.
✅ Upload and prompt across multiple documents.
👉 Try it now: https://chat.capeprivacy.com/
👥 Join our Discord: https://discord.com/invite/nQW7Y...
We can’t wait to hear your feedback and suggestions!
P.S. You can also build your own secure, private products powered by GPT-4 with the CapeChat API!
Thank you everyone for the support today! We’re really excited to hear how you are using CapeChat! Please continue to share your feedback and feature requests. And come hang out with us on our Cape Community Discord: https://discord.com/invite/nQW7Y...
The concept seems captivating! Will definitely give it a try! :)
Congratulations on the launch!
Damn, I was struggling with this at my workplace. Thank you for making it. Is it open sourced?
Thank you so much for your interest in CapeChat today. If you want learn more about how Cape uniquely combines three key technologies —Secure Enclave, encryption, and de-identification— to improve the confidentiality of your data when interacting with ChatGPT, please join us on discord: https://discord.com/invite/nQW7Y...
We are also happy to assist you if you want to integrate the CapeChat API with your application.
Proud and excited to be on the team launching this product, harnessing the security of secure enclaves for LLMs was challenging but well worth the effort for preserving privacy! Please try the product and let us know what you think!
As a user researcher, I think this could be really useful and helpful in my field. UX research participants' PII is a big concern, for example. Excited to see more.
It's been great to see the engagement on here today and with so many sign ups we hope that you explore, try out all the features of the chat platform and get inspired! As a developer on the project I'm proud that our mission for data security & privacy for AI is open to all and if you haven't yet, it's free to try out, instant, and with no set up required so head on over to https://chat.capeprivacy.com/ !
Thank you to everyone on ProductHunt today for your comments and support of the CapeChat launch! We’ve been overwhelmed with new users and positive feedback. Please continue to share your thoughts and ideas on how we can improve the product. 🙏
This is a great concept that I don't think a lot of people using ChatGPT are looking at. Anecdotally, I think most people are just blindly throwing their data into ChatGPT API's and Vector databases. This could be a great solution for those particularly interested in securing their data.
This was one of the biggest doubts about generative AI. Great to see it's being addressed!
Congrats on the launch. A lot more tools is being released related to the generative AI. In the current situation, this appears to be a promising and much-needed tool.
Congrats on the launch! The concept is really important for privacy driven companies! The only limiting factor now trusting CapeChat itself with sensitive data...
How do you guys handle different languages? Can it accurately process and understand non-English documents? If yes, how many?
This is amazing! That level of protection is critical in today's digital environment. Congrats on your launch!
A big problem that definitely needs to be addressed, huge congrats on the launch!
I had a quick question while watching your demo video: so for the example where you ask "concisely compare the net profit or loss for Illustrative Corporation Group from 2020 to 2021", how does the LLM (the OpenAI model in this case) actually know how to compare those two numbers when the actual figures are redacted before the OpenAI API call is made? It correctly answered that the net profit "increased from 11,195 in 2020 to 14,737 in 2021", so wondering how it was able to come up with that answer.
On that note, I'm super curious as to how CapeChat would deal with questions that ask directly or indirectly about the sensitive data (that are to be redacted before OpenAI API calls) themselves?
