[yamalight]

Hi, CTO of DataBorg here. Thanks for trying it out! We weren't quite ready to announce it to public just yet :) But hey, can't do much about it now. Pricing is still a bit of placeholder - there'll be 10x more credits on free tier soon-ish.

There is quite a number of ways you could utilize named entity recognition (NER) and/or knowledge graphs (KGs). Ranging from extracting mentioned entities (to e.g. provide a quick access to all articles containing specific entity), to semantic search, to building a unified knowledge graph from text (unstructured) data you have. Cool thing about KGs is that they are based on open standards, so once you've built them out of the data you have - there's quite a few existing tools that (for the most part) work out-of-the-box with them.

[lumost]

Got it, so the pitch is to provide a building block to help others build knowledge graphs. Do you see substantial uptake of knowledge graphs in industry? many of the examples I've seen historically either propose building a knowledge graph for the sake of a knowledge graph. Or work on a particular product which lends itself to knowledge graphs such as Question and Answering.

Coming from someone who's worked in NLP for a number of years.

[yamalight]

Yep, that'd be the pitch! In the beginning we'll just provide API for people who know what they need / want. Later on the plan is to have "all-in-one" products for end users directly (but that'll take time).

On KGs and industry - as far as we are aware, they are quite widespread. Most of fortune 500 companies use KGs in some form. QA is definitely one of the applications. There's also been quite a bit of work done on e.g. explainable AI using KGs lately (one of the areas we're working on as well).