CapeChat

Name: CapeChat
Rating: 4.5 (8 reviews)

Keep sensitive data private while still using ChatGPT

4.5•8 reviews•

498 followers

Keep sensitive data private while still using ChatGPT

4.5•8 reviews•

498 followers

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Safety and Privacy platforms

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AI Chatbots

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.

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Launch tags:Productivity•Artificial Intelligence•Bots

Launch Team

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CapeChat

Maker

📌

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!

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3yr ago

@gavinuhma This sounds great and what people are looking for, but I have many questions: At what point are the documents encrypted? Where are the documents stored? Is redaction done before or after encryption? What encryption is being used? Are you using embeddings with OpenAI to query the documents? Are the embeddings encrypted? If so, how did you manage to do this and get it to work with OpenAI? How do I get access to the API?

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3yr ago

CapeChat

Maker

@mark_craddock Great questions! I’ll answer each one. - Documents are uploaded over TLS and processed in an AWS Nitro Enclave. - Documents are then client-side encrypted and stored in RDS. - Envelope encryption is used: AES 256 for the data and RSA 4096 for the data key. - We use a local embeddings model and vector storage/search (FAISS) which also runs in a Nitro Enclave. - The final prompts are de-identified of PII, PHI, and PCI before being processed by the ChatGPT API. As for API access, join our discord or send me an email and I’ll get you setup! Or I can let you know when the self serve api onboarding is released soon

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3yr ago

The Twenty Minute VC

@gavinuhma amazing and much needed - what kind of latency does this introduce?

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3yr ago

CapeChat

Maker

@edsim Thank you!! We've kept the latency very minimal relative to the ChatGPT API, so it should feel about the same. This was a lot of work so appreciate the question! :)

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3yr ago

@mark_craddock @gavinuhma how do you process for PII / PHI / PCI de-identification ?

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3yr ago

manifoldco

Cape looks amazing! With the rise in generative AI, I'm happy to know that there will be ways to maintain privacy while still getting the benefit of an LLM. I am curious, what document types do you support exactly?

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3yr ago

CapeChat

Maker

@jevon Surprised no one asked that yet! We support PDF, Word, Excel, PowerPoint, CSV, Text, and Markdown. Moving forward we are even adding speech-to-text, and image-to-text, so you can add context from a bunch of different media types. Thanks for the support!!

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3yr ago

CapeChat

Maker

Thanks @jevon!

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3yr ago

CapeChat

Maker

@jevon Thank you for checking out CapeChat!

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3yr ago

CmdKay

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?

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3yr ago

Zed

Maker

@channy_hong I'll let @miiklay respond to the first question since he recorded the video. Regarding your second question, the goal of the service is to redact private information, but leave all of the surrounding context alone. For example, if you ask a question that GPT sees as "Where was [NAME_1] born?" and have uploaded a document that contains some context like "[NAME_1] was born in [LOCATION_1] on [DATE_1].", GPT is smart enough to recognize and use those placeholders in its output. The response should look like this: "[NAME_1] was born in [LOCATION_1]." In general, you can expect useful answers to questions about sensitive info as long as the answer can be determined from (1) surrounding (un-redacted) context, or (2) other sensitive info that has a clear relationship to your question according to the surrounding context. And it turns out this is exactly the functionality we should hope for -- if GPT could do anything more than that, it means that you've leaked some of your sensitive data to it (and therefore to OpenAI, and/or any malicious actors who might gain access to your OpenAI API call history).

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3yr ago

CapeChat

Maker

@channy_hong Keen eye :) That is possible with some simple prompt augmentation. For folks who subscribe to CapeChat Plus, you get access to GPT-4 and the ability to customize the prompt (amongst other features). I instructed GPT to format any math questions into a formula that could be interpreted with javascript, along with examples using the redacted placeholders syntax.

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3yr ago

CmdKay

@miiklay Super cool, and thank you :) Sorry to bother you with a follow-up, but I just love digging into details like this 😎 In this exact example for instance, I'm curious as to how the LLM (through OpenAI's API) 'knows' that [MONEY_37] is greater than [MONEY_11], such that it answers that the net profit "increased". I'm probably just not understanding what prompt augmentation is 😂

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3yr ago

CmdKay

@miiklay @jvmncs Gotcha gotcha, that makes a lot of sense. If I am understanding this correctly, then I guess the only type of questions that would be difficult for Cape Chat to answer would be things that require reasoning on top of the content of the redacted information? For instance, if one's 'place of birth' is an info that is redacted before the OpenAI API call is made, it would be hard to answer the question "name three countries that neighbor the country John Doe was born in", right? Or is there some way that y'all are handling this situation too already?

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3yr ago

CapeChat

Maker

@miiklay @jvmncs @channy_hong Thanks for the support @channy_hong ! And great questions. Yes, the model will fail to answer any questions where the answer is “outside” of the context. That’s why it is good at documents because the context is all inside. You can try experimenting with this yourself.. type “Who is Wayne Gretzky?” And the model will tell you it doesn’t know. But you can give it a pdf of Gretzky and it can then answer. I’d be curious to see what you think! It’s fun to feed it hints about a famous person and then see if it can eventually identify them (since famous people are obvious statistical outliers)

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3yr ago

I've always been a fan of what they're doing at Cape Privacy. This is a great new release that gives people more comfort using ChatGPT with their secure data. Congrats on the launch, and I look forward to seeing what comes next.

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3yr ago

CapeChat

Maker

@byosko Thank you @byosko !! 🙏🙏🙏

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3yr ago

CapeChat

Maker

@byosko thanks! Appreciate the support! 🙏

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3yr ago

Viral Tools - Viral Instagram Captions

Awesome. With the way data is used and exposed these days you can never be too sure. Congratulations on the launch!

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3yr ago

CapeChat

Maker

@jaime_matos Thank you!!

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3yr ago

CapeChat

Maker

thanks @jaime_matos!

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3yr ago

CapeChat

Maker

Thank you @jaime_matos! We're glad you can see the potential usefulness of CapeChat!

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3yr ago

Argil

The first solution I see that tackles this challenge in the smoothest way possible. Well done guys! Instant upvote

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3yr ago

CapeChat

Maker

@othmane_khadri Love it! Thank you!!

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3yr ago

CapeChat

Maker

@othmane_khadri That's high praise...thanks much!

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3yr ago

CapeChat

Maker

@othmane_khadri Thanks for your support!

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3yr ago

CapeChat

Maker

@othmane_khadri thanks for the kind words and supporting our launch today!

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3yr ago

CapeChat

Maker

Thanks for the comment @othmane_khadri ! We are very excited about the possibilities that CapeChat brings to the ChatGPT world.

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3yr ago

The de-identifying of PII and PCI data is huge! Data leakage is something every enterprise user of LLMs is worried about. Love how the secure enclaves are abstracted away for users so it's an easier API and product to use! Congrats on the launch

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3yr ago

CapeChat

Maker

@sg2 Thank you!! You nailed it! There is a lot of security tech behind the scenes which was the bulk of our development efforts. We designed the UI/UX so none of that gets in the way of the end-user and they can focus on a beautiful chat experience. Thanks again Shomik!

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3yr ago

CapeChat

Maker

@sg2 appreciate the support!

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3yr ago

CapeChat

Maker

@sg2 thank you for your interest. Security and privacy have been our priority, and it's nice to hear that you recognize that.

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3yr ago

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4.5

Based on 8 reviews

Review CapeChat?

CapeChat is praised for its ability to encrypt documents and redact sensitive data while utilizing the ChatGPT API, making it a valuable tool for those prioritizing privacy and security. Users appreciate its low latency and sleek design, though some express a desire for more direct reasoning capabilities on redacted data. The product is seen as particularly beneficial for industries with stringent compliance requirements, such as healthcare and fintech. Overall, CapeChat is recognized for enabling secure use of AI without compromising confidential information.

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Keep sensitive data private while still using ChatGPT

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