Do what you do – better
With knowledge graphs and AI
metaphactory offers semantic knowledge modeling and insights & knowledge discovery capabilities that enable you to drive knowledge democratization across your organization.
Future-proof your business
Solidify your place as an industry leader by adopting a knowledge-centric approach driven by technological innovation.
Becoming data-driven is imperative to maintaining a long-lasting competitive edge. Harnessing the integration of symbolic AI (knowledge graphs) and neural AI to transform your data into actionable knowledge can help you realize significant business outcomes that establish enduring success, from boosting organizational resilience to identifying new expansion opportunities.
Drive knowledge democratization
Empower doers & decision-makers across the enterprise by transforming raw, ambiguous data into meaningful, actionable knowledge.
A 360° view across diverse systems and formats, enriched with company-relevant context, makes your data understandable and useful for everyone in the organization—and interpretable by machines. Intuitive, conversational AI interfaces simplify data exploration for all, regardless of technical expertise. With knowledge graphs and AI, you can trust that your insights are traceable, explainable and trustworthy.
Gain time for innovation in your core services
Utilize tools that help you access the knowledge and insights you need to drive smart, informed business decisions—so you can focus on what you do best.
Countless hours are spent searching for and retrieving data across various systems and applications. AI-assisted data retrieval enables you to reclaim time typically spent on data admin, so you can focus on core services and big-picture projects that accelerate innovation and propel your business forward.
Your way forward with metaphactory
Knowledge is one of the most valuable assets an organization can have. When data is made into consumable, contexualized and actionable knowledge, you’ll be able to make sound business decisions grounded in insights that consider relevant organizational and industry context.
metaphactory is an enterprise knowledge graph-based platform that leverages semantic knowledge modeling and knowledge discovery capabilities to support you with decision intelligence and drive knowledge democratization across the organization. AI capabilities support both the building and exploration of the underlying knowledge graph, making it easy to surface and make sense of your data while also assisting in the knowledge graph construction process.
Semantic knowledge modeling
With a semantic knowledge model, you can eliminate ambiguity, add context that helps you and relevant stakeholders better understand the meaning of your data, and connect the dots in your enterprise data landscape. metaphactory’s semantic knowledge modeling can support you with use cases such as:
» Building an semantic layer for your enterprise information architecture
» Creating product, process, system or environment digital twins with collaborators across various roles, departments and technical skill levels
» Easily leveraging public ontologies and vocabularies to enhance your semantic model
Insights & knowledge discovery
AI-native apps and conversational interfaces grounded in a semantic model allow you to find precisely the information you need, exactly when you need it—and uncover hidden connections or make breakthrough discoveries that could be buried in your data. Knowledge discovery with metaphactory enables:
» Extraction of valuable insights and their transformation into actionable knowledge
» A model-driven approach to app-building that powers advanced and innovative solutions
» Rapid prototyping of applications to validate new use cases, saving significant time and financial investment
Put explainable AI at the heart of your business
Are you looking to integrate LLM-driven solutions in your operations but would like the piece of mind that extracted insights are accurate and can be trusted to drive business decisions? Knowledge graphs can help! The structure and explicit relations defined in the underlying semantic model of a knowledge graph help inform AI solutions – such as LLM-driven applications – and enhance their trustworthiness, explainability and accuracy.
Your benefits
Increase efficiency
- Data turns into connected, meaningful and AI-ready knowledge that drives forecasts, prediction and decisions
- Information is at the fingertips of employees and streamlines daily tasks
- Knowledge democratization boosts productivity and supports mission-critical business decisions
Reduce costs
- Company-wide semantic layer improves data literacy and leads to a comprehensive understanding of available data
- Surfacing existing knowledge allows you to reuse existing knowledge and spot and address gaps in information
- Existing knowledge is visible & accessible to all relevant stakeholders and delivered in context
Boost innovation
- Leveraging a knowledge-driven approach allows you to focus and deliver on your competencies
- The reusability of existing data and findings accelerates new projects and time-to-market for new business solutions
- Tedious and error-prone manual steps are eliminated allowing end users to focus on value-adding tasks