About
A company for systems that have to hold.
The name is the work: aether for the models and the airy parts of a product, acres for the ground they have to stand on.
Experience, in aggregate
Six or more years building production AI and distributed systems across regulated defense, biomedical and life sciences, medical-device software, and a consumer platform with tens of millions of monthly users.
AWS-certified machine learning engineering.
Tasks before volume
An ambiguous request becomes a list of engineering tasks before the code multiplies.
Gates on the path
Tests and evaluation sit on the way to production, where they can still stop a change.
Systems you can see
The people who operate the system get the dashboards and the logs to do it.
A real handoff
We mentor the engineers who will own the result, and we leave documentation they can use.
Available for a conversation.
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