AI systems are becoming part of the operating layer of modern organizations. They no longer just answer questions, they remember context, use sensitive data, support decisions, trigger workflows, and act across long-running relationships with users, customers, employees, and partners.
Organizations are being asked to prove how AI systems use data: where information came from, whether it was allowed to be used, whether it should still exist, and whether it has actually been deleted or restricted. In many cases, the systems involved were never designed to produce that proof.
“Trust in AI should not depend on promises alone. It should be backed by evidence that can be checked.”
Memory is one of the first places this problem becomes unavoidable. Useful AI systems need context, history, and personalization, but memory also raises hard questions about:
Shomei helps AI systems remember with governance from the beginning.
Every memory should have a source.
Every lifecycle event should have a record.
Every deletion, restriction, export, or hold should be something a system can prove, not merely claim.
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Shomei was founded by a privacy and AI governance leader with more than a decade of experience working on data protection, deletion, retention, data subject rights, sensitive data controls, and emerging AI risk. Across that work, one pattern became clear: organizations are often expected to prove things their systems were never built to prove.
Shomei exists to close that gap.
See the controls in the product, or read how the receipts actually work.
Governed, provable AI memory. Deletion that stays deleted, across your AI, with proof.