AI KNOWLEDGE BASE

ContextClue: AI-Driven Knowledge Management for Industrial Engineering

ContextClue unifies enterprise data into a searchable knowledge graph, helping teams find information faster, automate knowledge-intensive tasks, and accelerate project delivery

challenges

The Impact of Knowledge Management

CAPABILITies

What is ContextClue

ContextClue is an AI-powered enterprise knowledge management platform that connects data from documents, ERP, PLM, CAD systems, databases, and other enterprise sources into a unified knowledge ecosystem.

It combines Large Language Models (LLMs), semantic search, and knowledge graphs, enabling users to find information using natural language while understanding the relationships and context behind enterprise data.

outcomes

How ContextClue Accelerates Our Work

We built ContextClue into our own daily workflow long before offering it to clients. We’ve seen how much time it saves and how it enables us to deliver projects faster, more thoroughly, and with the right technologies and use cases from day one

Visibility

ContextClue connects business processes, systems, data, owners, policies, controls, and risks into a single interactive knowledge graph. Instead of relying solely on interviews and static documentation, consultants gain a queryable model that reveals dependencies, impact of changes, and hidden relationships across the enterprise.

Acceleration

The platforms Vector Store and RAG capabilities enable instant search across transcripts, policies, and architecture documents, eliminating repetitive interviews with SMEs. As a result, even a small consulting team can build a comprehensive, consistent, and auditable understanding of the organization much faster.

Scalability

ContextClue serves as the foundation for building enterprise RAG and Agentic AI applications while continuously converting consulting know-how into reusable platform components. This enables organizations to move from one-off consulting engagements to a repeatable, standardized AI delivery model.

FEATURES

One AI Brain For All Your Enterprise Knowledge

Bring together enterprise knowledge from every system into one intelligent layer. Ask one question and instantly get trusted answers

AI-Powered Semantic Search

Find information based on meaning and context rather than exact keywords.

Knowledge Graph

Connects data from multiple enterprise systems into a structured network of relationships, making complex information easier to explore.

Enterprise Data Integration

Seamlessly integrates with ERP, PLM, CAD, SharePoint, databases, PDFs, Excel files, and other enterprise repositories.

Automated Content Generation

Creates reports, technical documentation, SOPs, and summaries directly from enterprise knowledge.

Flexible Deployment

Available as cloud, on-premises, or hybrid deployment to fit enterprise security and infrastructure requirements.

Open Sources

Check Out Open Source Tools

Want to see ContextClue in action? Our GitHub repository includes a selection of free, open-source modules and tools that let you explore its core features

INDUSTRIES

Where ContextClue Makes the Biggest Impact

Manufacturing

Connect production documentation, maintenance records, machine manuals, SOPs, and quality data into a single AI-powered knowledge platform.

Engineering

Centralize engineering knowledge from CAD, PLM, technical specifications, BOMs, requirements, and project documentation.

Automotive

Unify engineering, manufacturing, supplier, and quality data across the entire product lifecycle.

Enterprise Knowlegde

Create a single source of truth by connecting documents, SharePoint, ERP, CRM, databases, and internal knowledge repositories.

Technical Knowledge

Accelerate software development by making codebases, APIs, technical documentation, tickets, and DevOps knowledge fully searchable with AI.

CASE STUDIES

Proven Across Enterprise Industries

See how organizations transformed enterprise knowledge into production-ready AI and measurable business outcomes

• Case Study

Leveraging AI-Powered Luggage Tracking and Digital Twins for Real-Time Airport Intelligence

KMS partnered with SITA, a global air transport technology provider, to develop an LLM-based assistance bot powered by advanced generative AI and integrated with airport systems. The solution enables real-time access to operational data.

• Case Study

Establishing AI-Based Product Traceability for Jabil

Addepto, a KMS Technology company, partnered with Jabil, a global supply chain service provider, to improve product traceability across complex production operations – by centralizing data, automating ingestion and validation, and enabling fast analytical reporting..

CONTACT

Built for Every Knowledge-Driven Industry

ContextClue is already transforming how we capture, share, and apply project knowledge across client engagements. See how it can help accelerate your next project

FAQ

Find Answers For The Most Frequently Asked Questions

Is ContextClue used internally, or can it be purchased as a product?

ContextClue is used internally but can also be offered to customers as part of Generative AI engagements or licensed as a standalone solution, depending on the use case and commercial model.

How does ContextClue accelerate the implementation of generative AI projects?

ContextClue empowers KMS Technology teams to deliver Generative AI solutions faster through reusable, production-ready building blocks and a shared knowledge base. It enables teams to quickly discover and reuse knowledge from previous projects, while ready-to-use modules accelerate solution development.

Can ContextClue work with existing enterprise systems?

Yes. ContextClue is designed to integrate with existing enterprise ecosystems, including ERP, PLM, CAD, document repositories, databases, SharePoint, Confluence, Jira, Slack, Microsoft Teams, Google Drive, and many other business applications through connectors and APIs.

What are the minimum technical requirements to use ContextClue?

Technical requirements are determined by your organization’s data volume and user count, functioning much like an enterprise-scale SAP rollout or a private cloud infrastructure.

While a small pilot might run on limited resources to index a specific dataset, an enterprise-wide deployment requires high-performance servers to handle the heavy computational load of “reading” millions of proprietary files.

Does ContextClue support scanned documents and OCR?

Yes, ContextClue can process scanned documents. It applies OCR and text extraction technologies to convert images into searchable and analyzable text. This ensures that legacy documentation and paper-based archives can be incorporated into the knowledge graphs.

What file types are supported by ContextClue?

ContextClue supports a wide range of technical and business file formats. These include CAD files, PDFs, Excel spreadsheets, planning exports, and more than 20 additional technical formats. The platform also works with general documents such as text files, reports, and code repositories, enabling broad enterprise adoption.

Can we start with a pilot or proof of concept before full rollout?

Yes, ContextClue can be introduced through a pilot or proof of concept tailored to specific business needs. Thanks to its modular architecture, organizations can start with selected modules such as Ingest or Retrieve instead of deploying the full platform.