Knowledge Engineering is the discipline of capturing, storing, retrieving, reasoning over, and governing knowledge. It has over 40 years of foundations in AI research. A Knowledge-Based System (KBS) has a classical architecture: a knowledge base, an inference engine, and an interface. Knowledge Stack is a modern KBS — that same proven architecture built on modern components: search engines, vector databases, analytics engines, and LLM-based agents. The knowledge base and tools are universal and shared. The reasoning and interface are per-application. One engine. Many contexts.
Knowledge Stack is Infozense's single product — one Context Engine, applied to many domains.
Every capability maps to a layer in the architecture. The Context Engine (L1+L2) is shared; reasoning and interface (L3+L4) are per-application.
Full-text keyword search and semantic vector search in a single query. Find documents by exact terms or by meaning — whichever gets the best result.
Automatically parse PDFs, Office documents, and scanned images. Extract text, tables, and structure — ready for search and retrieval without manual effort.
The agent layer retrieves documents from the Knowledge Base and composes grounded answers with citations. Each domain application configures its own RAG prompts and LLM.
Track usage patterns, identify knowledge gaps, and monitor search quality metrics. Understand what your teams are looking for — and what they cannot find.
Role-based access control, document lifecycle management, and complete audit trails. Know who accessed what, when, and ensure sensitive content stays protected.
Approval chains, content review processes, and scheduled re-checks. Automate the lifecycle of knowledge from creation through retirement.
Native Thai and English search and retrieval — with support for additional languages. Ask in Thai, find English documents — and vice versa. Built for Southeast Asian enterprise use.
Measure retrieval precision, content freshness, and knowledge coverage. Detect gaps and stale documents automatically — so quality improves over time.
Start with built-in vector search for millions of documents. Scale to a dedicated vector database for billions — without changing your application.
Extract entities and relationships to build a knowledge graph — then reason across connections. Answer multi-hop questions like "How do these regulations interact?" instead of just "What does this document say?"
Customers buy one engine and load their own contexts. Each row below is a domain application running on Knowledge Stack.
| Domain Context | Example Assets | |
|---|---|---|
| Market intelligence | Filings, factor tables, news | |
| Supply chain | POs, shipments, supplier catalogs, contracts | See supply chain application → |
| IoT | Sensor manuals, device specs, telemetry | See IoT application → |
| Geospatial | Cadastral records, GIS layers, satellite | See geospatial application → |
| Skills / HR | Job descriptions, resumes, training material | See skills application → |
| Healthcare | Drug databases, clinical guidelines | |
| Regulatory | Laws, circulars, rulings |
Engines, tool contract, schemas, tenancy, governance.
Registered assets, reference agent prompts, UI style.
Every engagement starts with consulting — we understand your knowledge challenge and design the right solution. Then you choose how to run it.
We host, operate, and optimize it for you.
Best for: teams that want results without managing infrastructure.
Your cloud or on-premise. Full control over data and security.
Best for: regulated industries and data sovereignty requirements.
Not sure which is right? That's what the consulting phase is for. We'll recommend the best fit.
Book a ConsultationThe same proven methodology that powers all our engagements — consulting first, then technology that delivers.
Audit your knowledge landscape and identify the highest-value use case
Strategic Consulting →Configure Knowledge Stack, ingest your documents, build search and retrieval pipelines
Solution Development →Track search quality, retrieval accuracy, and knowledge utilization metrics
Performance Analytics →Expand to new document sources, add domain contexts, grow continuously
Operational Excellence →