Top Tweets for #amberSearch
German AI-search company amberSearch has raised €2.1 million in Seed funding from Ventech, along with support from angel investors.
@Ambersearch_
https://t.co/nK3zeM9j1M
#amberSearch #news #startup #funding
#ambeRoad keeps growing!
Last week we got the team together in Aachen to get to know each other without a screen inbetween!
We are really looking forward to making enterprise search a no brainer with this team!
#team #startup #enterprisesearch #ambersearch
If you want to find out how the technology we use for #amberSearch works, feel free to read the publication of Dmitrii ("Fine-grained Classification of Political Bias in German News: A Data Set and Initial Experiments") here:
https://t.co/HFnLqMFg5V
#nlp #data #dataset #german
How do you deal with the knowledge that has been gained in more than 150 years of coal mining in the #RuhrValley?
Throughout the last year we were able to help @RAG_Bergbau with our intelligent enterprise search engine #amberSearch to access all the gathered data.
After you have already met Phil, we would like to introduce you to @igli_manaj, our second techie in the founder team.
Igli is responsible for the technical development of #amberSearch
Let's all say hello to Igli👋
#meettheteam #startups #founder #nlp #ambeRoad
At @ambeRoad we still have job offerings where we are looking for tech talents!
#fullstack #DevOps
Check out our #job offerings here: https://t.co/O7ncP8ScaZ
#ambeRoad #amberSearch #LaschetvsSoeder #NieMehrCDU #Soeder
Have you ever wondered, why you can't find any information with your enterprise search engine but #Google finds everything for you?
#ambeRoad #amberSearch #enterprisesearch #websearch #nlp
https://t.co/tIffuLL1Z7
We are happy to announce that we've been chosen for the NXT:Enterprise Programme of the @insurtechmunich.
The programme connects start ups with insurances for process digitalisation.
With #amberSearch we would like to help the corporates to make enterprise search a no brainer.
As promised, we would like to introduce you to one of our features:
The #questionanswering feature
We use the semantic understanding of #ambersearch to extract the right answer from the document.
Question answering helps you finding the relevant information straight away.
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