Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Enterprises need AI to work on real business documents and records: contracts, financial reports, operational tickets, and internal logs. But these records contain specific context, entity names, deal terms, internal metrics, and org references, which lose value when stripped out before model execution. Remove the details, and the result no longer works as usable operational output. Keep them as-is, and raw business content goes straight to the model.
LLM Capsule sits as a specialized LLM document processing layer between your data and the model layer, carrying data through protected model execution to local output reconstruction. It replaces sensitive or controlled values with context-preserving substitutes before the data goes to the model. Tables, lists, hierarchies, entity relationships, section logic, and domain-specific markers stay intact. The model gets structured input.
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After the model responds, LLM Capsule handles local output reconstruction to restore original business context. The result maps back to your environment and fits into the workflow as usable operational output without exposing raw data at any point.
Use LLM Capsule for:
- Document summarization where structure and entity relationships must survive the round trip
- RAG pipelines that need real business context in AI output without exposing raw data
- AI agent workflows that act on contracts, reports, tickets, logs, or operational records
- Enterprise AI use cases that need output the business can use without compromising data security
LLM Capsule is not an OCR tool, not a document extraction service, not a ChatGPT gateway. It is a context-preserving layer, optimized for business documents and data moving through Machine Learning and AI agent pipelines.
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Agent build and provenance
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
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Sources
Publisher resources
5 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
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