Enterprise AI Knowledge Search

Octopus Search

Semantic Understanding → Knowledge Graph → Agent Synthesis → Precise Answers — Beyond keywords

Four-Layer Intelligent Search Architecture

Full-chain intelligence from query understanding to agent execution

Enterprise Knowledge Search Flow
step 0/12
Query Understanding
SignalOS Normalization
Knowledge Graph
Agent Synthesis
1
Expense Policy
2
Travel Policy
3
Approval Flow
4
Budget Rules
5
Reimburse Form
6
Tax Deduction
7
Receipt Upload
8
Manager Review
AI-Synthesized Answer

To submit an expense report: 1) Fill the reimbursement form in SharePoint, 2) Attach receipts, 3) Submit to your manager via Jira approval workflow. Budget limit: $500/month per employee.

Expense Policy
Confluence
Reimbursement Form
SharePoint
Approval Workflow
Jira
Speed:

Three Enterprise Knowledge Crises

Knowledge scattered across dozens of platforms — finding answers is harder than creating them

Knowledge Silos

Confluence, SharePoint, Notion, Google Drive… enterprise knowledge scattered across 10+ platforms, employees can't find existing answers

No Semantic Search

Legacy search only matches keywords, can't understand intent. 'How to submit expenses' and 'expense process' return completely different results

Find but Can't Act

After finding the answer, you still have to manually execute — find the process, then fill forms, submit, and follow up yourself

Eight Core Capabilities

Search + Understand + Execute, three-in-one

Semantic Search

Understand natural language intent, not keyword matching. Cross-language, fuzzy query support

Multi-Source Connectors

One-click connect to Confluence, Notion, SharePoint, Google Drive, Slack, email and 20+ data sources

Knowledge Graph

Automatically build enterprise knowledge graphs, discover hidden connections, recommend related knowledge

Agent Execution

Search-to-action — find a process, then trigger an agent to complete the operation directly

Permission Inheritance

Inherits source platform permissions, ensuring search results comply with access control policies

Real-Time Indexing

Incremental indexing + real-time sync — new content searchable within minutes

Personalized Ranking

Intelligent ranking based on user role, behavior history, and team context

Open API

RESTful API + SDK — embed into any internal tool or workflow

Competitive Landscape

The first enterprise knowledge engine with search + understanding + execution

Capability Octopus Search Glean Elastic Notion AI
Semantic Search
Agent Execution
Knowledge Graph
Multi-Source
Permission Inheritance
On-Premise

Investment Thesis

Enterprise AI Search + Action — Don't just find answers, complete tasks

$12B
Global Enterprise Search TAM
$3B
AI-Powered Enterprise Search SAM
35%+
Annual Growth Rate (CAGR)

Enterprise employees spend an average of 1.8 hours per day searching for internal information. We provide an AI-native enterprise knowledge engine — it doesn't just understand what you're looking for, it helps you complete the task. Search is execution.

12-Month Product Roadmap

Q1 — Core Engine

Semantic search engine · 5 data source connectors · Basic knowledge graph · Permission inheritance

Q2 — Connector Ecosystem

20+ data sources · Real-time indexing · Personalized ranking · Enterprise pilot

Q3 — Agent Integration

Search-to-action · Agent workflows · Conversational search · API/SDK

Q4 — Vertical Industries

Industry knowledge packs · Compliance search · Multi-language · Scale deployment

Business Model

Starter
Coming Soon

Semantic search for small and medium teams

5 data sources · Semantic search · Basic ranking · Email support
Enterprise
Coming Soon

Complete enterprise knowledge engine

Unlimited sources · Agent execution · Knowledge graph · Priority support

Stop wasting time searching for answers

Connect your knowledge sources and start semantic search in 5 minutes

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