App-scoped RAG pipelines
Each application retrieves from its own approved content store. Content cannot bleed between applications or organizational boundaries.
Life sciences and healthcare
AI-grounded knowledge workflows for regulated environments
Decisions in life sciences and healthcare depend on verified source content. DataSafeHouse provides the retrieval infrastructure to keep AI outputs grounded, bounded, and auditable.
The Challenge
Decisions depend on content that is hard to find and harder to trust
In regulated environments, the documents that matter — meeting transcripts, clinical guidance, regulatory submissions, internal protocols — are scattered across systems and folders. When teams need answers, they either search manually or rely on AI tools that have no reliable connection to approved source material. Neither approach scales, and neither produces output that is defensible in a review.
The Approach
Grounded retrieval pipelines that bring source integrity to every query
DataSafeHouse ingests approved source material — transcripts, guidance documents, regulatory filings, internal notes — into controlled retrieval pipelines scoped to each application. AI queries are answered with citations pointing to the source content, not generated from general training data. Each application operates within defined content and policy boundaries, so different teams access only what they are authorized to see.
Key Capabilities
What DataSafeHouse provides
Document ingestion workflows
Ingest transcripts, guidance documents, regulatory filings, and internal content through configurable ingestion pipelines with source tracking.
Citation-backed response generation
Every AI-generated response is grounded in retrieved source content and includes citations to the specific documents used.
Model routing and policy controls
Route queries to approved models and apply per-application policy controls including rate limits, provider allowlists, and output constraints.
Audit logging
Every query, retrieval event, and model response is logged with timestamps and source references for compliance and review support.
Governance and Compliance
Traceable outputs for compliance-sensitive environments
App-scoped retrieval boundaries prevent unauthorized content access across organizational or regulatory lines. Full audit logs of queries, retrieved content, and model responses support internal review and external audit requirements. Policy controls at the application level allow governance teams to define and enforce boundaries without restricting legitimate use.
Ready to see it in action?
Let's talk about how DataSafeHouse supports this workflow in your environment.