Mnemos AI
The Mnemos platform

An operating system for organizational memory.

Mnemos is four AI-native systems working as one. Capture knowledge from the people who hold it. Model how your company actually works. Answer questions with permission-aware lineage. Detect continuity risk before it costs you.

Four pillars, one platform

Capture. Model. Answer. Protect.

Most knowledge tools stop at storage. Mnemos starts at capture and ends at operational continuity.

AI Interview

A voice-led agent that interviews every employee on the workflows they own. It probes for edge cases, captures decisions, and turns spoken context into structured knowledge.

  • Adaptive question trees per role and tenure
  • Speaker-attributed transcripts with citation links
  • Background mode — capture during real work, not in a meeting

Memory Graph

An always-current graph of people, processes, systems, customers, and the dependencies between them. The connective tissue every other surface reads from.

  • Entity resolution across Slack, Notion, CRM, and HRIS
  • Freshness scores per node — knows what is stale
  • Permission-aware traversal with full lineage

AI Search

Ask a question, get a cited answer drawn from transcripts, SOPs, and connected systems. Never one source of truth — always the right one for who is asking.

  • Hybrid retrieval — semantic, lexical, graph-aware
  • Per-user ACL enforcement at retrieval time
  • Every claim cites the source span and freshness

Continuity Engine

Surfaces single-person dependencies, undocumented workflows, stale SOPs, and offboarding risk before they cost you a quarter of productivity.

  • Bus-factor analytics per workflow and per system
  • Auto-generated transition plans on offboarding
  • Drift detection between SOP and observed behavior
How a question travels

From spoken context to cited answer in eight steps.

  1. 01
    Interview

    A subject-matter expert holds a 20-minute voice session with the agent, captured in real time.

  2. 02
    Transcribe

    Speaker diarization and citation anchors are written into the transcript.

  3. 03
    Extract

    Background workers extract entities, procedures, decisions, and risks.

  4. 04
    Resolve

    Extracted entities are deduplicated and merged into the memory graph.

  5. 05
    Generate

    Candidate SOPs are produced and routed to the appropriate reviewer.

  6. 06
    Govern

    Policies tag freshness, ownership, and access scope on every node.

  7. 07
    Retrieve

    AI Search performs hybrid retrieval and filters by the asker's permissions.

  8. 08
    Cite

    The answer renders with source spans, freshness, and an audit ID.

Every department

One memory. Every workflow.

Mnemos is not a vertical tool. It is the connective tissue between every part of your company.

Integrations

Reads from where your work already lives.

Mnemos connects directly to the systems where knowledge gets produced. No new place for your team to remember to look.

Slack
Microsoft Teams
Notion
Confluence
Google Drive
Microsoft 365
Salesforce
HubSpot
Zendesk
Linear
Jira
GitHub
Workday
BambooHR
Okta
Azure AD
Built for the people who own the audit

Permission-aware AI, by design.

Mnemos enforces access at retrieval — not at render. Row-level tenant isolation, ACL propagation from source systems, and a complete audit lineage for every answer.

SOC 2 Type II
BYO LLM provider
EU data residency
Customer-managed keys
Full audit lineage
RLS-isolated tenants
SSO and SCIM
HIPAA-ready
Sample audit record
audit_id 0193fb6c-aria-q42
user aria.chen@acme.com
tenant acme-prod
question “How do we close month-end?”
retrieved 9 candidates
filtered 3 (ACL finance-restricted)
cited 6 sources
freshness median 11 days
latency_ms 1,184

See it on your own data.

14-day trial, 5 free seats forever, white-glove import of your first three integrations.