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.

Technology Stack

Sources

Structured and unstructured information

  • Manuals
  • Standards
  • Specifications
  • Reports
  • Video
  • Images
  • Tables
  • Source Code
  • Expert Knowledge

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.

Built on Open Standards

Open standards ensure interoperability, future-proof architectures, and freedom from vendor lock-in.

iiRDS

Standardized information delivery for intelligent content exchange and digital product knowledge.

DITA

Structured content architecture for modular authoring, reuse, and scalable documentation.

Knowledge Graphs

Semantic relationships transform isolated information into connected engineering knowledge.

RDF

W3C standard for representing linked data and interoperable knowledge models.

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JSON

Lightweight data format for exchanging structured information across systems and APIs.

REST APIs

Standardized interfaces for integrating enterprise systems and engineering applications.

LLM Integration

Connect leading language models to your trusted engineering knowledge foundation.

One Platform. Unlimited Knowledge Applications.

Connect documents, product data and expert knowledge in a semantic platform that powers Engineering Advisors and future digital ventures.

digital_applications

 

Security & Deployment

Flexible deployment models and enterprise-grade security ensure full control over your engineering knowledge.

Cloud

Deploy securely in your preferred cloud environment with scalable infrastructure.

On-Premises

Keep engineering knowledge inside your own infrastructure and security perimeter.

Hybrid

Combine cloud scalability with on-premises control for maximum flexibility.

Private AI

Run AI on dedicated infrastructure while keeping sensitive data protected.

Role-based Access

Control access to knowledge through granular roles and permissions.

Enterprise Authentication

Integrate seamlessly with SSO, Active Directory, OAuth, and SAML providers.

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.

 

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.

Semantic knowledge network expanding from isolated expertise into an interconnected knowledge ecosystem, representing the transformation of expertise into scalable digital ventures.

 

Build technology that understands knowledge.

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