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Show HN: AstroBee – AI-Generated Semantic Layers

https://app.astrobee.ai/
8•galenmarchetti•1h ago
Hi,

I’m a cofounder of AstroBee and I wanted to share our work with the community.

AstroBee is an automatic semantic layer generator for your business. It brings data together from different locations, storing it either in your data warehouse or in one we host. Then, AstroBee scans your data and models it to create an integrated source of truth (we call it an ontology because it’s structured like Palantir’s ontology). Once you have your source of truth, you can either build applications on top of it, or chat with directly to answer analytics questions.

If you don’t like AstroBee’s original suggestions, you can provide your own context and define your semantic layer as you wish. Then, AstroBee will hydrate your semantic layer definition your data.

We imagine AstroBee can become the data layer for AI-generated internal applications. While it’s easier than ever to spin up light internal apps with “vibe-coding” tools, getting an integrated and reliable data layer to service those applications is more complicated.

You can try it out on demo data or upload your own if you want. Would love your thoughts and feedback if you’re willing to try it out!

Comments

qafy•1h ago
What model(s) / providers are you using? Are you training on the data that the agent gets access to? Seems like there are some data governance and privacy red flags for anything involving remotely sensitive data...
galenmarchetti•1h ago
we're using OpenAI's API for business. they don't train on data sent to the business api, unlike the consumer tier

this is still an early beta, so at the moment everything is only available with OpenAI's API. however, for people who want to use it in a higher security environment, we'll support switching OpenAI with any hosted model API including on-premise or models held in private VPCs. that way people can manage their data with no exfiltration to a third party

punk_ihaq•1h ago
Congrats on the launch! The quickstart with the demo data was easy to follow. I've wanted a tool like this where I [1] can self-serve and test hypotheses about our data models without being an expert in data engineering (complex joins, multiple sources, entity resolution, normalization, etc) and [2] don't have to wait for days to hear back from our data team. Looks like it does both, nice. Now time to connect to some sample BigQuery and GA data and see if it's as easy as the demo..
galenmarchetti•57m ago
thank you! that's exactly where we're going with this. we're still in the early days, so let us know how you get along!

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