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Launch HN: Grapevine (YC S19) – A company GPT that actually works

getgrapevine.ai

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Launch HN: Grapevine (YC S19) – A company GPT that actually works

#1
Hi HN! We built Grapevine (https://getgrapevine.ai), a knowledge search system for AI agents that connects Slack, GDrive, Notion, codebases, and more. Our first app is a company GPT that significantly outperforms existing alternatives.

Anyone can setup a Grapevine Slack bot and have it respond to and optionally proactively answer questions that require company context. Here’s a demo video with examples: https://youtu.be/_nrfbZzvxU8

We built Grapevine because we were interested in a ChatGPT that fully understands your company. We'd tried many of the existing tools (including expensive enterprise ones), but while they were good at answering “what is X team’s Q4 goal,” they weren’t good at the day-to-day questions that actually blocked people.

So, our founders and early engineers created a set of 100+ representative questions, from hard technical questions to company-specific knowledge questions. At first, the state-of-the-art “enterprise search” products were getting about 50% of them correct, and our in-house system was getting 35%. But as we solved details in data processing, search algorithm, and more, we eventually achieved 85%. (For reference, the best human score our founders got was 70%)

It’s changed the way we work: popular engineering channels that have 5+ questions / day are fully answered proactively by AI, and people across departments go to the bot first for bug reports, incidents, and support tickets. Dozens of our beta customers have been consistently surprised by the quality of the answers, too.

Security is obviously super important for a product like this. We will never train on your data. In addition, your data is encrypted at rest, in an isolated database from other customers, and the system is SOC 2 compliant with regularly scheduled pen tests. We built it to Gather’s (https://gather.town/) SOC 2 Type II standards - that’s the original virtual office product we launched (and still maintain) out of YC, but we’ve since pivoted to Grapevine.

We put a lot of effort into making Grapevine easy to set up. You can try it now, for free, at https://getgrapevine.ai

Launch HN: Grapevine (YC S19) – A company GPT that actually works
getgrapevine.ai

Re: Launch HN: Grapevine (YC S19) – A company GPT that actually works

#2
I've seen Gleam and Onyx, and I think the real problem is that there is a lot of garbage coming in. If you want to solve the problem, you need to find a way to clean the information coming in. And if you've cleaned the information coming in, you have a lower need to have an LLM answer the question.

Re: Launch HN: Grapevine (YC S19) – A company GPT that actually works

#3
Interesting to see this now launching, when most companies have their own customGPT solution and MCP makes headway towards decoupling the frontend layer. Data seems to be stored outside of the customers control, so this will be a difficult sell for many companies.

What type of businesses are you targeting?

Re: Launch HN: Grapevine (YC S19) – A company GPT that actually works

#4
I've been using Grapevine at my company for the last couple weeks. One of the coolest features is that it proactively answers questions (with citations!). Not everyone thinks to tag the bot but it often surfaces the relevant answer and document and saves everyone some time.

Re: Launch HN: Grapevine (YC S19) – A company GPT that actually works

#5
Is the "ChatGPT" brand name becoming a generic term, like Baid-Aid or Kleenex?

There is the ChatGPT product, operated by OpenAI, Inc, which you can access via their web site or their API. OpenAI does publish gpt-oss as an open-weights model. I suppose you could argue that gpt-oss is "a ChatGPT," though I'd normally think of it as "a large language model." Much like Claude, DeepSeek, Qwen and so on are other large language models.

Re: Launch HN: Grapevine (YC S19) – A company GPT that actually works

#6
> the day-to-day questions that actually blocked people

do you have a very strong opinion about how companies should work?

"No"

Okay, does Dario Amodei? He thinks more than half the workforce should "just" be replaced. That's a strong opinion! Do you see what I am saying?

Re: Launch HN: Grapevine (YC S19) – A company GPT that actually works

#7
post #5

Is the "ChatGPT" brand name becoming a generic term, like Baid-Aid or Kleenex? There is the ChatGPT product, operated by OpenAI, Inc, which you can access via their web site or their API. OpenAI does publish gpt-oss as an open-weights model. I suppose you could argue that gpt-oss is "a ChatGPT," though I'd normally think of it as "a large language model." Much like Claude, DeepSeek, Qwen and so on are other large lan…

Well GPT = general purpose transformer

Re: Launch HN: Grapevine (YC S19) – A company GPT that actually works

#8
post #3

Interesting to see this now launching, when most companies have their own customGPT solution and MCP makes headway towards decoupling the frontend layer. Data seems to be stored outside of the customers control, so this will be a difficult sell for many companies. What type of businesses are you targeting?

In terms of what businesses we're targeting: we wanted to provide either 1.) a turnkey solution for a company GPT for all the people who don't have it yet, or 2.) a higher quality company GPT for people who do have an internal solution.

Our sense is that ~70% knowledge companies at large still don't have a custom GPT yet, and that of the people who do, our system can be more performant because we're spending more effort than their internal team is. There's a lot of details we've solved on data ingestion and search algo that improved our accuracy dramatically, and things breadth of data connectors is the kind of thing that is expensive for an internal team but worth it if you're providing the service at large.

Not sure what you mean by "data seems to be stored outside of the customers control," but fortunately I think many SaaS apps that were trying to lock down customer data from themselves are walking that back a little bit.

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