Savira/001
Savira Cortex

Enterprise AI Knowledge OS

An AI brain for a company.

Savira Cortex transforms internal documents — policies, contracts, reports, manuals, SOPs — into a searchable, version-aware, permission-controlled reasoning system.

Not a chatbot over a vector store. A knowledge operating system that understands structure, history, and who is allowed to know what.

I Architecture

A knowledge engine, not a wrapper.

Documents enter Cortex and become structured, retrievable, version-tracked knowledge. Agents reason over that knowledge. The interface returns answers with sources and confidence.

Input

Company knowledge

  • Documents
  • Policies
  • Contracts
  • Reports
Cortex

Knowledge engine

  • Document intelligence
  • Version memory
  • Retrieval + agents
  • Permissions + audit
Output

Trusted answers

  • Answer + sources
  • Citations
  • Confidence + reasoning
  • Version reference
II Modules

Eight modules. One reasoning system.

M—01

Document Intelligence Engine

Ingestion that understands what a document IS — department, topics, sections, version — not just what it says.

  • Parses structure: sections, headings, tables
  • Extracts metadata: department, type, version, effective date
  • Identifies topics and named entities
  • Builds a stable document identity for downstream reasoning
M—02

Document Memory + Version Control

Every version retained. Every change tracked. Every diff answerable in natural language.

  • Old vs new comparisons across any version range
  • Audit-grade change history per document
  • Diff-aware retrieval — answers reference the version that was current at the time
  • Reduces policy-search time from hours to seconds
M—03

Enterprise Retrieval Engine

A six-stage pipeline: intent → plan → permission filter → vector recall → rerank → generate.

  • Intent classifier routes the question type
  • Query planner assembles required evidence
  • Structured DB enforces permission + scope
  • Hybrid retrieval with reranking for precision
M—04

Multi-Agent System

Specialized agents instead of one monolithic LLM. Each agent does one job, with audit trails.

  • Intent Agent — classifies the request
  • Retrieval Agent — gathers candidate evidence
  • Comparison Agent — diffs across versions or contracts
  • Compliance Agent — flags policy / regulatory risk
  • Summarization Agent — produces executive outputs
M—05

Knowledge Graph Layer

Documents stop being isolated. Cortex learns how a policy connects to a department, a contract, a system.

  • Entity relationships across the corpus
  • Impact-aware queries: 'if X changes, what is affected?'
  • Traversable graph for cross-document reasoning
M—06

Enterprise Security

Tenant isolation, role-based access, and audit logging built into the retrieval path — not bolted on.

  • Per-tenant data isolation at the storage layer
  • Role-based access control enforced before retrieval
  • Per-query audit log: who asked, what was returned, why
  • Dedicated tenancy available for regulated workloads
M—07

AI Assistant Interface

Ask in plain English. Get an answer with sources, citations, version, and a confidence signal.

  • Natural-language question input
  • Citation to source document and section
  • Version label for the source
  • Confidence score per answer
M—08

Document Analytics Dashboard

Admin visibility into the knowledge base itself — not just usage, but corpus health.

  • Total documents, active vs expired policies
  • Duplicate detection across the corpus
  • Change frequency and stale-policy alerts
  • Per-team and per-department coverage
III Retrieval pipeline

How a question becomes an answer.

  1. 01

    Intent classifier

    What type of request is this?

  2. 02

    Query planner

    What evidence do we need?

  3. 03

    Permission filter

    What is this user allowed to see?

  4. 04

    Vector recall

    What sections are candidates?

  5. 05

    Reranker

    Which chunks actually answer?

  6. 06

    Generation

    Compose answer with citations.

IV What ships

Features that make Cortex sellable.

F—01

AI Knowledge Search

Google for company documents.

F—02

Policy Intelligence

Tell me what changed.

F—03

Compliance Monitoring

Which policies are outdated?

F—04

Contract Intelligence

Find risky clauses.

F—05

Executive Intelligence

Summarize company information.

Not a chatbot over a vector store. A knowledge operating system.

The work you are doing today — intent classification, query planning, permission filtering, vector retrieval, reranking, generation — is the core intelligence layer of Cortex. The rest of the platform depends on it.