Solutions · Healthcare & life sciences

Copilots that cite your evidence—not the model’s priors

When pathways, labels, or policy change, answers must reflect what you ingested and versioned, with provenance and explicit uncertainty. Amnesis is the memory plane for approval-ready AI: Better RAG today, Memory OS depth when you need it—without retraining on every evidence update.
Healthcare professional with tablet in a clinical setting—illustrative only.

Illustrative stock photography · Unsplash

Why it wins

Built for evidence that changes

Amnesis does not replace clinical judgment, institutional review, or compliance programs. It gives every LLM you approve a governed recall layer so assistants and agents stay inside the corpus and checkpoints you define.

Protocol & policy in memory

Pathways, SOPs, and reference labels as versioned nodes—retrieval you can inspect, not a black-box chunk pile.

Checkpoints when evidence shifts

Pin “what we knew as of date X” for reviews, submissions, and incidents—without rewriting history.

Thin evidence, said out loud

When the record is silent or conflicting, the surface shows it—instead of smoothing gaps into fluent fiction.

Same stack, stronger recall

Works with the models and security perimeter you already run; memory is the plane that makes answers defensible.

From corpus to bedside and back office

Three motions teams expect from modern enterprise AI—tuned for care delivery, research ops, and GxP-adjacent workflows: discover what the record supports, stay inside scope, and document what was used.

Discover

Surface what your approved corpus supports—guidance, trials readouts, and internal summaries—with citations and explicit gaps.

Comply

Scope answers per workspace, role, and checkpoint so copilots inherit the boundaries your policies already require.

Document

Handoffs and reviews inherit provenance—so QA, safety, and audit threads can reconstruct what the AI had permission to say.

Research laboratory setting—illustrative.
Stock image via Unsplash. Not a depiction of Amnesis product UI.

Where teams deploy first

Clinical operations, research, and corporate functions—one memory plane, scoped per tenant workspace.

Hospital interior—illustrative.
Clinical & care operations

Assistants grounded in pathways and facility policy; escalate when memory is thin or time-bound evidence expired.

Research & medical affairs

Synthesize across approved trials and publications with lineage; contradictions stay visible for human judgment.

Corporate & GxP-adjacent

HR, quality, and training copilots tied to controlled documents—checkpoints aligned to release cycles.

Security & governance

Prove recall before you scale

Hands-on test: ingest → verify in chat → query with context hits visible—so evaluators see memory working, not a scripted demo.

Clinical collaboration—illustrative.
Stock image via Unsplash. Product evaluation: use the live workspace.

Under the hood

Deterministic memory—not vibes-based retrieval.

Governed recall

Nodes and embeddings tied to preserved text; replay what was retrieved.

Checkpoints

Pin knowledge for study locks, policy releases, or incidents.

Contradiction-aware

Opposing sources remain visible; no silent merge into one story.

Diagram: three steps—ingest versioned nodes with provenance, scoped recall with an inspectable record, answers with citations and visible gaps (including conflicting clinical sources).

Ready to show memory in production?

Start with Better RAG: governed ingest, visible retrieval, and an honest “not in memory” path—then expand to Memory OS capabilities as your program matures.