Financial Services

Your AI agents forget. Make them remember.

Financial teams run AI agents for research, diligence, and ops — but agents forget context between sessions and hallucinate when they don’t. Awareness is the memory layer that fixes it: accurate recall, on-premise by default, and a provable record of what your agents remembered.

What it does

Remembers accurately

Hybrid retrieval and structured knowledge cards surface the right context — 96% recall on LongMemEval — without an LLM in the loop, so the memory layer itself never hallucinates.

Stays on your infrastructure

Zero server-side LLM and self-hosted deployment keep every memory inside your VPC. No inference, no data, ever leaves your control.

Proves what it remembered

Every authorized memory state transition is committed via ERC-8350, so you have a signed, sequence-linked record of who changed what and when.

What teams use it for

  • Research continuity — analyst theses and data-room findings stay linked across months
  • Due diligence — every red flag and follow-up persists across the deal lifecycle
  • Reconciliation — breaks, resolutions, and counterparty context remain queryable
  • Client onboarding — KYC context and preference history survive renewals
  • Institutional knowledge — senior analysts’ context outlives their tenure

Built for regulated firms

SEC Rule 17a-4

durable, tamper-evident records

FINRA

auditable communication history

MiFID II

research provenance and retention

GDPR

data residency and subject-rights tooling

Frequently asked questions

How is this different from giving the model a bigger context window?

Context windows are capped and lossy — and you pay for every token on every call. Awareness is a persistent memory layer: it retrieves only what’s relevant, so agents keep months of context without inflating every request.

Does the memory layer itself hallucinate?

No. Recall is zero-LLM — hybrid retrieval over structured knowledge cards — so what the memory layer returns is grounded in what your team actually recorded. It can’t invent context that isn’t there.

Can we keep everything on-premise?

Yes. Self-hosted deployment runs entirely in your VPC or air-gapped environment, and the zero-server-LLM architecture means no memory or inference leaves your infrastructure.

How does the audit trail work?

Awareness commits authorized memory state transitions via ERC-8350, an Ethereum standard for agent memory state. Each transition is signed, sequence-linked, and verifiable — a provable record of who changed what and when.

Does it work with our existing agents and tools?

Awareness is MCP-native and framework-agnostic. It plugs into Claude Code, Cursor, LangChain, CrewAI, and any OpenAI-compatible agent — no rewrite of your stack.

Give your financial agents a memory that holds up

Deploy on-premise, keep data sovereign, and prove what your agents remembered.