"3. The New Meme: Enterprise Search
“Enterprise search” is shaping up to be in 2020 what RPA was in 2019. A startup idea that hits the seed ecosystem like a fashion fad, with a surprising number of founders suddenly all wearing the same ripped jeans. I’ve seen about a dozen teams and companies working on next-generation enterprise search in the past few weeks. They’re all attempting to build the same thing: a search/feed/discovery product that helps you find things amongst Slack, Gmail and Salesforce clouds.
I’ve yet to see anyone properly tackle the more rudimentary, “boring” and lucrative approach: an on-prem search appliance, similar to GSE, that indexes internal intranet, wikis as well as email. On-prem software is annoying to build, something many founders shy away from."
At my old startup Pinecone, we built something similar called Ask Pinecone. It would index everyone's emails and internal wiki's on premise. Then you could send an email with a question to ask@youcompany.com some Bayesian based modeling would then forward the email to the most appropriate person at the company based on the contents of their inbox and your email.
> I’ve yet to see anyone properly tackle the more rudimentary, “boring” and lucrative approach: an on-prem search appliance, similar to GSE, that indexes internal intranet, wikis as well as email. On-prem software is annoying to build, something many founders shy away from."
It's hard because you need to access the documents and from a security perspective that's not ideal. We took a different approach which actually builds a search graph based on what's discussed (plugs into email, slack, etc.): https://insideropinion.com/
Works very well and doesn't need access to the source document (so more secure), although that'd improve the search.
I’ve yet to see anyone properly tackle the more rudimentary, “boring” and lucrative approach: an on-prem search appliance, similar to GSE, that indexes internal intranet, wikis as well as email. On-prem software is annoying to build, something many founders shy away from."
At my old startup Pinecone, we built something similar called Ask Pinecone. It would index everyone's emails and internal wiki's on premise. Then you could send an email with a question to ask@youcompany.com some Bayesian based modeling would then forward the email to the most appropriate person at the company based on the contents of their inbox and your email.