Questions behind the work.
Our research focuses on a practical problem: using AI with private organizational records while preserving control of the material and the decisions made from it.
Keep the material protected.
Which records may the system read? Where may it process them? What may leave? Those restrictions need to be enforced before the material is used, rather than left to a prompt.
Control and autonomyMake the answer useful.
Compare a revised requirement with its previous version. Calculate from a defined set of records. Explain a discrepancy. These are the kinds of source-bound tasks we are working toward.
The adapterOS product directionShow how the conclusion follows.
A relevant passage can support an answer without proving it. The reviewer needs to see the reasoning, assumptions, missing information, and limits alongside the source.
Evidence and reviewLearn from one piece of work.
A useful evaluation needs a specific task, approved sources, an accountable reviewer, and a definition of success. Broad claims about intelligence cannot replace that test.
Discuss a product evaluationWork with us.
We welcome research conversations about protected analysis, source quality, inference, and review. Tell us the question you are investigating and the constraints that shape it.
Research inquiriesHave a question about the work? Include the context that would help us answer it.
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