Upcoming capabilities for banks and asset managers: simulate decisions against policy, read market signals from your approved corpus, and keep thin or missing evidence visible—so reviewers never get fluent fiction dressed as fact.
LLMs without grounding will confabulate; in markets and compliance that is unacceptable. Amnesis scopes answers to what your organization has ingested and versioned, with citations and explicit gaps—so the output is reviewable and defensible, not a confidence act.
In development
Corporate Decision Outcome Simulator
Stress proposed decisions against governed policy, limits, and historical checkpoints—see where memory supports an outcome and where it does not, before you commit capital or reputation.
In development
Market signal desk
Synthesize filings, research, and internal notes from your corpus only. When evidence is thin, the surface says so—instead of inventing narrative from model priors.
Exploring
Reg & limit coherence
Map rule and policy changes to limits, templates, and disclosures with a trail from text to decision support—so “what changed?” is replayable for audit and model risk.
Exploring
Client & counterparty communications
Draft from approved disclosures and house language; flag conflicts and missing coverage so human sign-off is about judgment, not guessing what the model read.
From signals to sign-off
Three motions on the memory plane—same pattern teams expect from modern workplace AI pages, tuned for regulated finance: show your work, bound the model, and keep humans in the loop.
Discover
Surface what your corpus actually supports—filings, limits, and house research—with citations and explicit “not in memory,” not fluent filler.
Decide
Draft memos and recommendations from governed memory; stress proposals against policy and checkpoints before they leave the desk.
Automate
Wire reviews and exceptions to the same memory plane so repetitive workflows inherit auditability—not one-off chat luck.
Illustrative context for cross-functional sign-off. Stock image via Unsplash. Final financial SKUs will ship with agent surfaces, source rails, and review states tuned for your stack.
Across the firm
Research, risk, operations, and client-facing teams—one memory plane, scoped per tenant workspace.
Front office & research
Due diligence and narratives tied to ingested filings and internal theses—replayable at a checkpoint.
Middle office & risk
Limits and methodology memos versioned in time; answer “what did we believe on date X?”
Operations & service
Exceptions and disclosures drawn from approved sources; escalate when memory is thin or conflicting.
The same surfaces your teams use for ingest, chat, and review—designed around provenance and scope.
Governed recall in the flow of work—citations and scope visible to reviewers. Stock image via Unsplash.
Under the hood
Deterministic memory—not a black-box retriever.
Governed recall
Embeddings from versioned node text; retrieval with a record you can inspect.
Checkpoints
Pin knowledge for period-end, incidents, or model-risk review—without rewriting history.
Contradiction-aware
Opposing sources stay visible; the UI doesn’t flatten policy vs. exception into one story.
Trust is about scope—not charisma
No product can promise perfect answers in every situation. Amnesis is built so that within the workspace you define, material claims are traceable to stored sources, contradictions stay visible, and “we don’t have that in memory” is a first-class outcome—so teams can stand behind what they ship.
