AI-Driven Knowledge Management · Built on AWS

Your Organisation's Knowledge,
Finally Accessible to Everyone

HPO Canada's KMS transforms every document, policy, SOP, and report your organisation owns into a conversational AI intelligence layer — searchable, secure, and always current.

See How It Works View Pricing
8
Document Formats Supported
5
Compliance Frameworks
100%
Data Sovereignty Option
16
HPO Performance Dimensions

Your Organisation's Knowledge Is Locked Away

Most organisations have thousands of documents that contain critical knowledge — but that knowledge is inaccessible, inconsistent, and invisible to the people who need it most.

🗂️
Knowledge Buried in Files
Critical policies, SOPs, and procedures sit in shared drives and email inboxes. Staff spend hours searching for answers that already exist — somewhere — in the organisation.
🔄
Knowledge Lost When People Leave
When experienced staff leave, their expertise leaves with them. Onboarding new hires takes months. The same questions get asked over and over with no consistent answer.
🔒
No Control Over Who Sees What
Confidential documents sit alongside public ones. There is no reliable way to ensure that sensitive financial, HR, or strategic content is only accessible to authorised staff.

A Living, Queryable Intelligence Layer for Your Organisation

HPO Canada's KMS ingests every document your organisation owns — PDFs, Word files, spreadsheets, presentations, emails, and images — and transforms them into a structured, searchable, AI-powered knowledge base that any authorised staff member can query conversationally.

Ask it a question in plain English. It reads thousands of documents in milliseconds, finds the most relevant content, and delivers a cited, accurate answer — telling you exactly which document, section, and page the information came from.

Every piece of content is classified, tagged, and access-controlled automatically. The right people get the right answers. The wrong people get nothing.

Document Intelligence Pipeline
1
Upload Any Document
PDF · DOCX · XLSX · PPTX · Images · Markdown
2
AI Reads & Extracts
Nova Lite Vision · OCR · Multi-format parsing
3
Classify & Tag
Type · Department · Access Level · Auto-tags
4
Chunk Intelligently
Sentence-aware · Semantic · Hierarchical
5
Embed & Index
Amazon Titan V2 · 1,024-dim vectors · Pinecone
6
Ready to Answer
Semantic search · Knowledge graph · RAG engine
Document Intelligence · Dev 2 Pipeline

From Raw Document to Searchable Knowledge

Every document uploaded to the KMS passes through an 8-stage automated pipeline before it becomes searchable. Here is what happens — and why each step matters.

📤
Stage 1
Secure Document Ingestion
Your organisation uploads documents through a secure REST API or the admin portal. We accept PDF, Word, Excel, PowerPoint, HTML, Markdown, and images (JPG, PNG, GIF). A duplicate detection system prevents the same document from being processed twice. All files are encrypted in transit using TLS 1.3.
AWS API Gateway AWS Lambda Amazon S3 TLS 1.3 Encryption
🔍
Stage 2
Multi-Format Parsing with AI Vision
Every file type has a dedicated parser that extracts clean, structured text. For scanned documents and images, Amazon Nova Lite's vision AI reads the image and transcribes all visible text, tables, charts, and diagrams — delivering OCR-quality extraction across your entire archive without any manual scanning workflow.
Amazon Bedrock Nova Lite Vision PyMuPDF · python-docx openpyxl · python-pptx
🏷️
Stage 3
Automatic Metadata Extraction
The AI reads every document and automatically identifies: author, department, document type, version number, creation date, and access classification (Public / Internal / Confidential / Restricted). Your 10,000-document archive gets fully labelled and structured — with zero manual effort from your team.
Amazon Bedrock Nova Lite Amazon DynamoDB
🗂️
Stage 4
Intelligent Document Classification & Auto-Tagging
A fine-tuned AI classifier assigns every document a category — Policy Document, Financial Report, SOP, Meeting Minutes, Technical Guide — and generates relevant tags automatically. Documents become browsable, filterable, and reportable by category without any human categorisation work. The classifier learns your organisation's specific terminology over time.
Amazon Bedrock Fine-Tuned Classification Model
✂️
Stage 5
Intelligent Chunking — Preserving Meaning
Long documents are broken into meaningful, focused segments called chunks. Unlike simple page-splitting, our three chunking strategies — Sentence-Aware, Semantic Paragraph, and Hierarchical — ensure that context is never broken mid-sentence or mid-idea. This directly determines the quality of AI answers: better chunks mean more accurate, relevant responses.
Sentence-Aware Strategy Semantic Paragraph Strategy Hierarchical Strategy
🕸️
Stage 6
Knowledge Graph Construction
The system extracts named entities — people, departments, dates, projects, technologies — and the relationships between them from every document. This builds a queryable graph of your organisation's connected knowledge: who is responsible for what, which projects relate to which policies, how departments depend on each other.
Entity Extraction Relationship Mapping Amazon DynamoDB
🧮
Stage 7
Semantic Vector Embedding
Each chunk is passed to Amazon Titan Embed V2, which converts the text into a 1,024-dimensional mathematical vector — a numerical fingerprint that captures the meaning of the content. Two chunks about similar topics will have vectors that are mathematically close together. This is what enables search by meaning, not just keyword matching: staff can ask questions in their own words and get accurate results.
Amazon Titan Embed V2 Amazon Bedrock 1,024-Dimension Vectors
📌
Stage 8
Indexed and Ready for Instant Search
Vectors are stored in Pinecone — a purpose-built vector database that returns the most semantically similar document chunks in milliseconds. All structured data — documents, chunks, entities, metadata — is stored in DynamoDB. When a staff member asks a question through the chat interface, the AI retrieves the most relevant content from this index in under a second and builds a cited, accurate answer.
Pinecone Vector Database Amazon DynamoDB Amazon S3 Sub-second Retrieval
Security & Compliance

Enterprise-Grade Security. Government-Ready Compliance.

The KMS is architected for the most security-sensitive deployments in enterprise, government, and healthcare. Every layer of the platform is encrypted, audited, and compliant with Canadian and international data standards.

🇨🇦 PIPEDA
🇪🇺 GDPR
🔐 SOC 2 Type II
🏛️ Gov Canada PBMM
📋 ISO 27001
🔑 AWS KMS Encrypted
End-to-End Encryption
All data at rest encrypted with AES-256 via AWS KMS customer-managed keys. All data in transit via TLS 1.3 minimum. Vector embeddings stored separately from source documents.
Immutable Audit Logs
Every query, every document retrieved, and every answer generated is logged with user ID, timestamp, and access level in tamper-evident AWS CloudTrail + S3 storage.
Zero-Trust Access Control
PAM policies enforced at query time — before any content reaches the AI. Supports SAML/OIDC federation with Azure AD, Okta, Google Workspace, and LDAP.
Data Residency Control
Sensitive document collections can be pinned to specific AWS regions. Fully local deployments ensure no data — documents, queries, or answers — leaves the client's environment.
Platform-Agnostic Deployment
Deploy to your own AWS account, Azure, GCP, on-premises Kubernetes, or air-gapped environments. You own your infrastructure, your data, and your models.
Pricing

Plans for Every Organisation

Transparent pricing with no hidden fees. All plans include the full document intelligence pipeline, semantic search, and knowledge graph. Start with a free 90-day pilot.

Starter
$1,200
per month · billed annually
For small organisations, non-profits, and teams getting started with knowledge management.
  • Up to 25 users
  • Up to 5,000 documents
  • All 8 document formats
  • Semantic search + knowledge graph
  • Basic RBAC (3 roles)
  • Web search included
  • Hosted on HPO Canada AWS
  • Cloud LLM (shared)
  • Full RBAC + ABAC + SSO
  • Local LLM support
  • Marketing platform
Get Started
Enterprise
Custom
from $8,000/mo · contact us
For government departments, large enterprise, and organisations requiring data sovereignty.
  • Unlimited users
  • Unlimited documents
  • All 8 document formats
  • Semantic search + knowledge graph
  • Full RBAC + ABAC + SSO
  • Web search + custom sources
  • Client AWS account / on-premises
  • Local LLM — your infrastructure
  • 99.9% uptime + dedicated support
  • Full marketing platform
  • PIPEDA · GDPR · PBMM compliant
Contact Sales

Start Your Free 90-Day Pilot

Upload your first 100 documents, ingest your knowledge base, and see your team's questions answered in seconds — before you commit to anything.

Request a Pilot →