ContextClue is an AI-powered knowledge management platform specifically built for engineering teams. Think of it as creating a “digital brain” for your entire engineering ecosystem. We take all your scattered technical data – CAD files, ERP systems, documentation, maintenance records – and transform them into intelligent, connected knowledge graphs that understand engineering relationships, not just keywords.
Traditional search finds documents that contain your keywords. ContextClue understands engineering relationships. When you search for a bearing, we don’t just find documents with “bearing” in them – we show you the pump it belongs to, the maintenance history, the supplier performance, similar bearings across your plant, and why that specific bearing was chosen in the first place. It’s the difference between finding information and understanding systems.
Generic AI tools are trained on general internet content – they can write emails but they don’t understand that changing a bearing affects shaft alignment, or that “Class 150” in piping has specific pressure ratings. ContextClue is purpose-built for engineering complexity. We know that components exist in assemblies, assemblies form systems, and systems have interdependencies that must be tracked and managed.
Building an effective engineering AI from scratch is a massive undertaking – costly, complex, and full of hidden challenges. You’d need rare expertise spanning AI, knowledge graphs, engineering domains, data science, and software development, all working together to handle not only core functionality but endless edge cases.
This isn’t like clicking together a quick chatbot to brainstorm your next big idea – an industrial solution must be fully reliable, highly accurate, cost-effective, and uncompromising on data security. ContextClue delivers a fully developed, industry-tested engineering AI you can deploy in a fraction of the time.
And we don’t stop there – we manage every update, security patch, and model refinement so you can focus on engineering, not wrangling AI infrastructure.
ContextClue uses something called knowledge graphs – think of it as creating a “map” of how everything in your engineering world connects. Instead of keeping information locked away in isolated files, we map relationships: this valve controls that pipeline, which feeds into this unit, powered by that motor, serviced by this team, with a warranty expiring next quarter.
Change the valve’s material specification, and our knowledge graph instantly shows you every connected component, process, and document that might be affected. It’s like having a living, breathing blueprint – not just of your assets, but of every relationship, dependency, and detail that keeps them running.
When engineers spend hours searching for information, projects slow down and costs climb. The expertise your business relies on is already in your systems – buried in CAD files, scattered across ERP platforms, and hidden in email chains. ContextClue surfaces and connects that knowledge instantly, cutting delays, reducing rework, and accelerating delivery.
The result: faster project cycles, lower costs, and a stronger competitive edge.
Exactly what we built it for. ContextClue creates a unified view across all your engineering systems without replacing them. Your CAD data connects to ERP supplier information, which links to maintenance records, which ties back to original design rationale. All your systems finally work together instead of creating information silos.
Here’s what we typically see: 40% reduction in engineering search time, 50% faster troubleshooting, 30% reduction in engineering effort for complex projects, and 75% faster audit preparation.
One German automotive manufacturer cut virtual commissioning time by 40%, saving weeks on every project. The exact savings depend on your current pain points, but the patterns are consistent.
See case study: https://context-clue.com/case-study-virtual-commissioning-automotive-manufacturer/
ContextClue is designed to integrate with your existing systems, not replace them. Implementation typically requires moderate IT involvement – think SAP implementation complexity, not simple SaaS login. Most clients dedicate 2-3 people part-time for 2-3 months to get fully operational. We provide extensive support throughout the process.

ContextClue offers two deployment options: all-in-one solution for comprehensive knowledge management transformation, or modular integration for targeted solutions within existing systems.
All-in-one solution: Complete technical knowledge management platform with pre-configured workflows and minimal backend customization required. Delivers a fully integrated ecosystem designed to centralize and streamline your technical knowledge operations from day one.
Modular integration: Precision-driven, flexible implementation that enhances your existing infrastructure without disruption. Choose from individual modules – Ingest, Retrieve, or Generate – to solve targeted problems while working seamlessly with your current systems.
Learn more about ContextClue at context-clue.com
Choose all-in-one solution if: You have minimal or fragmented knowledge management systems and want to implement a full-spectrum documentation workflow. You prefer a standardized approach with pre-configured processes and want rapid implementation of a complete system.
Choose modular integration if: You have complex existing infrastructure and want to enhance current systems without ripping and replacing. You prefer to prove value before scaling and need adaptable AI capabilities that evolve with your needs.
Learn more about ContextClue at context-clue.com
All-in-one solution: Fully integrated platform with intuitive UI designed for immediate productivity. Minimal setup complexity with standardized workflows across technical documentation processes. Not completely out-of-the-box, but designed for near-immediate usability.
Modular integration: Start with your biggest bottleneck – maybe the Ingest Module to organize scattered documents, or the Retrieve Module for better search capabilities. Each module works independently and integrates with your existing PLM, ERP, and document management systems.
Learn more about ContextClue at context-clue.com
All-in-one solution: Lower initial configuration overhead with reduced reliance on complex system integrations. Standard implementation support with minimal backend customization required.
Modular integration: Flexible based on chosen modules. Each module connects to your existing systems through REST API-driven architecture, requiring moderate technical coordination but allowing incremental investment and implementation.
Learn more about ContextClue at context-clue.com
AI Experts on board
Finished projects
We are part of a group of over 200 digital experts
Different industries we work with
Faster equipment failure diagnosis – When a machine goes down, downtime is expensive. ContextClue instantly connects design history, past failures, supplier quality records, and proven repair procedures – giving maintenance teams answers in minutes instead of hours.
Capturing critical engineering know-how – With senior experts retiring, valuable knowledge often leaves with them. ContextClue preserves the why behind engineering decisions, turning one-off expertise into searchable, lasting institutional memory.
Reusing proven designs – Stop reinventing solutions hidden in old project files. ContextClue surfaces past designs, explains why they worked (or didn’t), and lets teams build on proven successes instead of starting from scratch.
Faster virtual commissioning – Bridge the gap between digital models and real-world performance. ContextClue makes digital twins more accurate with actual performance data, cutting commissioning time and costs.
Smarter change impact analysis – One small design change can ripple through hundreds of systems. ContextClue maps every dependency so you can see the full impact before implementation – avoiding costly surprises.
Supplier quality intelligence – Integrate supplier quality history directly into design decisions. See past performance, known issues, and alignment with requirements – and give suppliers the context they need to deliver.
Automated compliance management – Stay audit-ready year-round. ContextClue tracks every parameter and certification in real time, generating complete compliance reports automatically.
Intelligent maintenance – Deliver the right maintenance instructions at the right time, based on actual equipment conditions and history – reducing downtime and preventing failures before they happen.
Data-driven process optimization – Connect operational data with engineering insight to identify inefficiencies, test improvements, and replicate success across the production line.
Accelerated code migration and legacy modernization – Transform outdated systems without losing functionality. ContextClue maps code dependencies, identifies system interactions, and preserves business logic – turning complex migration projects into manageable, strategic initiatives.
Intelligent technical documentation – Generate comprehensive documentation automatically from codebases, APIs, and system architectures. ContextClue understands code relationships and creates living documentation that stays current with your development.
Cross-platform development insights – Leverage proven patterns across different projects and technologies. ContextClue reveals successful architectural decisions, identifies reusable components, and helps teams avoid repeating costly mistakes across the development lifecycle.
Faster equipment failure diagnosis – When a machine goes down, downtime is expensive. ContextClue instantly connects design history, past failures, supplier quality records, and proven repair procedures – giving maintenance teams answers in minutes instead of hours.
Capturing critical engineering know-how – With senior experts retiring, valuable knowledge often leaves with them. ContextClue preserves the why behind engineering decisions, turning one-off expertise into searchable, lasting institutional memory.
Reusing proven designs – Stop reinventing solutions hidden in old project files. ContextClue surfaces past designs, explains why they worked (or didn’t), and lets teams build on proven successes instead of starting from scratch.
Faster virtual commissioning – Bridge the gap between digital models and real-world performance. ContextClue makes digital twins more accurate with actual performance data, cutting commissioning time and costs.
Smarter change impact analysis – One small design change can ripple through hundreds of systems. ContextClue maps every dependency so you can see the full impact before implementation – avoiding costly surprises.
Supplier quality intelligence – Integrate supplier quality history directly into design decisions. See past performance, known issues, and alignment with requirements – and give suppliers the context they need to deliver.
Automated compliance management – Stay audit-ready year-round. ContextClue tracks every parameter and certification in real time, generating complete compliance reports automatically.
Intelligent maintenance – Deliver the right maintenance instructions at the right time, based on actual equipment conditions and history – reducing downtime and preventing failures before they happen.
Data-driven process optimization – Connect operational data with engineering insight to identify inefficiencies, test improvements, and replicate success across the production line.
Accelerated code migration and legacy modernization – Transform outdated systems without losing functionality. ContextClue maps code dependencies, identifies system interactions, and preserves business logic – turning complex migration projects into manageable, strategic initiatives.
Intelligent technical documentation – Generate comprehensive documentation automatically from codebases, APIs, and system architectures. ContextClue understands code relationships and creates living documentation that stays current with your development.
Cross-platform development insights – Leverage proven patterns across different projects and technologies. ContextClue reveals successful architectural decisions, identifies reusable components, and helps teams avoid repeating costly mistakes across the development lifecycle.
Engineers spend too much time searching instead of solving problems. ContextClue makes all technical knowledge instantly accessible through intelligent knowledge graphs. No more digging through CAD files, ERP systems, or email threads – answers appear in minutes, freeing teams to focus on innovation and delivery.
When equipment fails, every minute matters. ContextClue links failures to their full operational context – design history, maintenance records, supplier performance, and proven fixes – enabling rapid root cause analysis. Downtime is cut, recurring issues are prevented, and production stays on track.
With senior experts retiring, valuable know-how risks being lost. ContextClue captures not just decisions, but the reasoning and lessons behind them. This creates a searchable, permanent knowledge base that transfers expertise seamlessly to future engineers.
Engineering changes can trigger ripple effects. ContextClue’s knowledge graphs expose these dependencies upfront, showing exactly which parts, processes, suppliers, and systems are impacted. This prevents costly surprises and keeps complex systems running smoothly.
ContextClue offers multiple deployment options to meet your security requirements. You can choose on-premise installation for complete data sovereignty, ensuring your sensitive engineering information never leaves your environment. For organizations with existing cloud infrastructure, we provide cloud platform deployments with enhanced data residency controls. All deployment options include enterprise-grade security measures, role-based access controls, and compliance with industry security standards
You maintain complete ownership and control of your data at all times. ContextClue processes and organizes your existing information but doesn’t lock it into proprietary formats. Your original documents, CAD files, and technical data remain in their native formats and can be exported or migrated as needed. We provide comprehensive data export capabilities to ensure you’re never dependent on our platform for accessing your own information.
Yes, ContextClue is designed for seamless integration with major engineering platforms via API. It connects to your existing repositories without requiring document migration or system replacement. We work alongside your current tools, enhancing their capabilities rather than replacing them.
Our flexible integration architecture supports custom system connections through API. We can develop specific connectors for proprietary or legacy systems, ensuring that even your most unique technical environments can benefit from ContextClue’s capabilities. Our team works with you to understand your specific integration requirements and develops tailored solutions.
Our REST API-driven architecture means ContextClue can integrate into virtually any technical workflow or system. This flexibility allows you to embed our capabilities directly into your existing applications, create custom integrations with internal tools, and build automated workflows that leverage our knowledge processing capabilities. The API-first design also ensures you can scale and modify integrations as your needs evolve.
Absolutely. ContextClue’s modular architecture means you can use it exactly how you need it – whether that’s the complete platform or just specific components. You can take individual parts of our three-engine system (Ingest, Retrieve, or Generate) to address specific workflow needs, create entirely custom user interfaces tailored to your teams, or use ContextClue purely as backend technology that powers your existing applications.
Our API allows you to build specialized interfaces for different user groups, create automated reporting systems, or integrate our functionality into mobile applications for field technicians. You can also use ContextClue as invisible infrastructure – your engineers continue using their familiar tools while ContextClue provides intelligent knowledge processing behind the scenes. The API provides full access to our core engines while maintaining security and access controls, so you get exactly the capabilities you need without unnecessary complexity.
Yes, while ContextClue is optimized for engineering complexity, its knowledge graph technology and document processing capabilities are valuable across many domains. Legal teams use it for contract analysis and regulatory compliance, finance departments leverage it for audit documentation and risk assessment, and HR organizations apply it to policy management and training materials. Any field that deals with complex, interconnected documentation can benefit from our approach.
Yes, ContextClue excels at code migration because the mechanics are remarkably similar to engineering documentation challenges. Just as engineers need to understand component relationships and system dependencies, software migration requires mapping code dependencies, API connections, and system interactions. Our knowledge graphs reveal how different code modules, libraries, and systems connect, making migration planning more comprehensive and reducing the risk of breaking dependencies.
Large Language Models inherently understand code structure, syntax, and programming concepts better than traditional documentation analysis tools. ContextClue can parse codebases to identify function dependencies, module relationships, API calls, and data flow patterns. This creates knowledge graphs that show not just what code exists, but how it interconnects – crucial information for successful migration projects. The same relationship-mapping technology that tracks engineering components works equally well for tracking software dependencies.
ContextClue transforms information from isolated documents into interconnected knowledge networks. Information is represented as nodes (entities) connected by labeled relationships, allowing for natural modeling of complex dependencies between components, systems, and documents. This enables semantic discovery where you can navigate technical information contextually, uncovering related documents, dependencies, and concepts through graph-based relationships rather than simple keyword matching.
Yes, ContextClue is designed for enterprise scalability. The platform can seamlessly adapt to growing volumes and diversity of documents, users, and use cases. Our modular architecture allows you to start with specific capabilities and expand as needed, while our API-first design ensures integrations remain stable as you grow. Whether you’re processing thousands or millions of documents, ContextClue maintains performance while preserving the rich contextual relationships that make the platform valuable.
Discover how AI turns CAD files, ERP data, and planning exports into structured knowledge graphs-ready for queries in engineering and digital twin operations.