Cited answers, not chunks
Every reply carries its sources — file, paragraph, timestamp. The Khyaa Ask surface is the design template. The pattern generalises to any regulated workflow.
Solutions · For finance, legal, health, gov
AI you can put in front of a regulator.
In regulated work, an AI that hallucinates is not a productivity feature — it is a liability event. The Khyaa pattern fixes that. Every answer cites its source. Every client lives in an isolated cognitive sector. Audit trails are first-class. The template is live with US financial advisors and generalises.
Fact accuracy
94%
cited answers
Citation rate
100%
every answer carries a source
Memory isolation
Per-client
storage-layer enforced
Compliance posture
SOC 2
Type II · Hypersave
Where the pattern fits
01
Financial advice
SEC marketing rule · Reg BI · Rule 204-2
02
Legal practice
Privilege-respecting · client isolation
03
Healthcare
PHI-aware · audit trail · BAA-ready
04
Government
FOIA-compatible · records of decision
What you can build
Regulated workflows where the AI is accountable.
Per-client memory isolation
Each client, matter or patient gets its own cognitive sector. Information never bleeds across boundaries. Enforced at the storage layer, not the prompt.
Pre-meeting briefings
A 200-word brief 15 minutes before each client touchpoint. Built from the cited memory — operators arrive with context, not a cold open.
Voice-to-memory capture
60-90 second post-meeting voice notes transcribed on-device. The advisor / lawyer / clinician moves on; the memory layer integrates.
A cited answer in five lines
The contract: no answer without a source.
The Hypersave SDK returns answers with first-class citation arrays. If the memory layer can't find evidence, it returns a low-confidence flag instead of guessing — the Khyaa Ask surface uses this to refuse to answer rather than to fabricate.
advisor.tsts
import { Hypersave } from "@hypersave/sdk";
const memory = new Hypersave({ apiKey: process.env.HYPERSAVE_KEY });
const { answer, citations, confidence, refused } = await memory.recall({
userId: "advisor:42",
scope: "client:roberts-family", // hard isolation boundary
query: "what was the agreed AUM for the rollover?",
refuseBelowConfidence: 0.7,
});
if (refused) {
// Show the advisor "I don't know — escalate" instead of a hallucination.
return ui.renderRefusal();
}
ui.renderAnswer(answer, citations);
// citations[0] → { source: "meeting-2026-04-09.m4a", offset: 412, ... }Built on
The reference vertical, plus the layer underneath.
Khyaa
Reference design · live in betaPersonal intelligence for US financial advisors and RIAs. Pre-meeting brief, voice-to-memory, cited Ask. SEC marketing rule, Reg BI, Rule 204-2 compliance-aware. SOC 2 in progress.
See Khyaa →Hypersave
Memory layer underneathThe five-sector cognitive memory that makes Khyaa work. Same SDK is available to embed the Khyaa pattern into your own legal, healthcare or government workflow.
Read the docs →The brief lands fifteen minutes before each meeting and it cites the call where the client said it. That is the part our compliance officer signed off on — that is the part that matters.
Get started
For RIAs: Khyaa is free in beta. For other verticals — talk to us.
We're actively scoping the Khyaa pattern with design partners in legal, healthcare and government. Reach press@nuroailabs.com if you want to be first.