OpenAI just shipped GPT-Rosalind. A model purpose-built for life sciences. Drug discovery, genomics, protein engineering.
This is the pattern now. Specialised models for specialised work. A model that speaks your industry's language.
Good. Specialisation beats generic.
Here is the catch
The work you do is probably confidential. Patient data. Molecule pipelines. Client files under NDA. Contracts that make you personally liable if something leaks.
A specialised cloud model does not solve that. It is still a vendor, still a third party, still a black box when the auditor asks what went where.
The model is never the real problem
What happens before and after the model is.
Before: is sensitive data filtered out before it ever reaches OpenAI, or Anthropic, or whoever ships a specialised model next quarter?
After: can you prove what was asked, what was answered, which sources grounded it, and who had access?
That layer does not live inside GPT-Rosalind. It lives in the platform everything goes through.
That is what we build at Aimable
Any model, including the specialised ones. On your terms. With your rules. In a logbook your board can sign off on.
Specialised AI is great news. Ungoverned specialised AI is the same trust problem in a nicer suit.