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
ebiester•1h ago
eambutu•1h ago
(Additionally, there are a lot of details that do make a big difference in data processing / search algo too, which have taken our own internal accuracy on hard questions from 30% => 80%+)
arahman4710•59m ago
That's why i'm building Solo (https://asksolo.ai/) which uses your codebase to clean up the out of date/stale information that the LLMs pull from