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Knowledge Graphs
Unlock insights with AI-powered semantic search and
knowledge graphs for smarter decisions.
Why companies should rely on Knowledge Graphs
Many organizations face significant challenges when it comes to making sense of their data. Information is often spread across multiple systems and silos, making it difficult to integrate, search, and derive meaningful insights. Traditional databases, while effective for structured data, lack the flexibility to represent and analyze complex relationships between entities.
At the same time, there is a growing demand for explainability, transparency, and trustworthy AI. Businesses need solutions that not only provide accurate answers but also show why and how those answers were derived.
By combining Knowledge Graphs with AI systems, organizations can provide context-rich, transparent, and traceable insights - making AI decisions more interpretable and trustworthy.
Bridging the gap between unstructured data sources (such as documents, logs, or text) and structured systems (such as ERP or CRM databases) is another major challenge, leaving decision-makers without the full context they need. Knowledge Graphs directly address these issues by enabling the unification of data, enriching it with semantic context, and creating a foundation for advanced analytics and explainable AI.
What sets our offering apart
Our Knowledge Graph offering provides organizations with a scalable and future-proof way to connect and reason over their data. Depending on business needs, this can mean building a foundational semantic model, integrating diverse data sources, or deploying advanced AI assistants that leverage the Knowledge Graph for explainable answers.
To achieve this, we structure our offering around five focus areas that cover the full lifecycle of Knowledge Graph solutions:
Semantic Modeling & Ontologies
Designing the conceptual backbone through ontologies, taxonomies, and schemas tailored to the domain.
Knowledge Graph Development and Data Integration
Building the graph by harmonizing structured, semi-structured, and unstructured data into a unified, connected view.
Mapping Unstructured Data to Ontologies
Using Natural Language Processing (NLP) and advanced LLMs to infer ontologies from unstructured data
AI-Enhanced Knowledge Graphs
Enabling semantic search, retrieval-augmented generation, and multi-agent systems by combining Knowledge Graphs with machine learning and LLMs.
Access, Querying & Reasoning
Providing powerful access to knowledge via SPARQL, GraphQL, or Cypher, combined with reasoning and inference capabilities.
How your company benefits from this
This structured approach allows organisations to start small, such as with a semantic search pilot, and grow towards large-scale knowledge platforms integrated with enterprise AI. Benefit from:
Why Data Reply is the perfect partner
At Data Reply, we combine deep expertise in knowledge graphs and AI with hands-on delivery, designing and implementing solutions that transform data into intelligent, context-aware applications. Our team has designed and implemented:
As part of the Reply group, Data Reply offers a wide range of services that support customers in becoming data driven. We operate in various industries and business areas and work intensively with our customers so that they can achieve meaningful results through the effective use of data. Data Reply offers many years of experience in transformation projects to achieve “data-driven companies”. We focus on the development of data platforms, machine learning solutions and streaming applications - automated, efficient, and scalable - without making any compromises in IT security.