Technology for Explainable Knowledge Systems

We combine semantic knowledge models, graph technology and modern AI to build systems that provide transparent, explainable and trustworthy recommendations.

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Technology should adapt to your knowledge — not the other way around.

Every organization already owns valuable knowledge.

The challenge is not creating more information.

The challenge is connecting existing knowledge across documents, data, standards, expert experience and business rules.

That is exactly what our technology is designed to do.

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Technology Stack

Documents

Structured and unstructured information

  • Manuals
  • Standards
  • Specifications
  • Reports

Semantic Processing

Content is transformed into connected knowledge.

Not just indexed.

Understood.

Knowledge Graph

Relationships become first-class citizens.

Products.
Components.
Standards.
People.
Processes.

Everything becomes connected.

Retrieval

Instead of searching documents, the system retrieves relevant knowledge.

Language Models

Modern LLMs interpret retrieved knowledge, not your entire document collection.

This improves precision while reducing hallucinations.

Explainability

Every recommendation can reference its underlying knowledge.

Explainability by Design

Context

The system understands relationships.

Not isolated facts.

Traceability

Recommendations can be traced back to their sources.

 

Confidence

Users understand why a recommendation was made.

 

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Built on Open Standards

Open technologies reduce vendor lock-in and enable long-term interoperability.

iiRDS

 

DITA

Knowledge Graphs

RDF

JSON

 

REST APIs

LLM Integration

Flexible Architecture

Connect existing systems instead of replacing them.

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Security & Deployment

Cloud

On-Premises

Hybrid

Private AI

Role-based Access

Enterprise Authentication

Designed for Growth

As knowledge evolves, the platform evolves with it.

New documents.
New standards.
New expertise.

The knowledge graph continuously expands without rebuilding the system.

Abstract network illustration showing a scalable knowledge graph that continuously expands as new knowledge is added.

 

Build technology that understands knowledge.

Whether you’re building Engineering Advisors, enterprise knowledge assistants or domain-specific AI applications — our technology provides the foundation.

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