Who we build for
Platform, security, and applied ML teams at companies that standardize on AWS and cannot copy documents into a third-party SaaS index.
About
Enterprise AI that respects your permissions and proves it works.
Mission
Most internal AI search fails in security review because retrieval ignores source ACLs, or it ships without a way to know whether the next change helped. TA Msev addresses both: documents stay governed by the systems you already run, and every change can be tested against a golden set in CI.
Platform, security, and applied ML teams at companies that standardize on AWS and cannot copy documents into a third-party SaaS index.
Containerized appliances you operate: ACL-aware retrieval, evaluation APIs, deployment templates, and integration guides, not opaque managed prompts.
AWS Marketplace listings with private offers when procurement requires custom terms. Technical evaluation happens in your account, on your documents.
Principles
Products
Two focused appliances rather than a monolithic platform. Each solves one hard problem completely.
Permission-aware RAG appliance
Syncs sources with their access controls and filters retrieval before generation.
Learn moreLLM evaluation and regression harness
Runs golden suites on every change and blocks merges when metrics miss your thresholds.
Learn moreTeam
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Book a session with an engineer. We walk through deployment in your account, ACL sync for your sources, and a CI gate on a test set you choose.