Aquarium Learning
New accelerator entry · 2020-08-11 · the record
In their words
ML models are only as good as the datasets they're trained on, and that means that most improvement to model performance comes from improvement to the quality and diversity of their datasets. Our tooling makes it easy for ML teams to find anomalies + failure patterns in their datasets and fix these problems by editing / adding the right data. So the next time you retrain your model, it just gets better.
What the record says
- One of 329 companies held here in B2B › Infrastructure.
No investor is drawn from a Form D — the form states how many invested and never who. The one investor on this graph is named because a batch has exactly one.
The full profile
Source Check, INVEST, RECRUIT and Press Requests on Aquarium Learning
- Source Check — verify what Aquarium Learning states, against the registers that hold it.
- INVEST — size up this company on the figures its record states.
- RECRUIT — see who is already on the team.
- Press Requests — connect with Aquarium Learning for a story.
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Is this you?
If you're behind Aquarium Learning: acceptance into a YC batch is one of the few weeks a young company gets looked up by people who matter — investors, other founders, press. FoxPlug turns the commits, deploys, and releases you're already making into that story automatically, so anyone who looks finds something current. FoxChat puts a guide on your own site so the people YC's own page just sent you don't read one line and leave.
Sourced from the company's Y Combinator directory entry.