The concept of an intranet with a knowledge graph has moved from futuristic trend to strategic priority in Madrid. Companies need platforms that not only store information, but also understand the meaning of each data point and its relationships. A knowledge graph applied to an intranet connects teams, projects, clients and resources through a semantic layer, which translates into less search time, better decision-making and a more intelligent digital experience. This article reviews who the fifteen leading experts in this field are in 2026, with a practical analysis aimed at executives, digitalization managers and team leaders who want to make decisions based on solid information.
A traditional intranet is often limited to being a repository of documents, news and directories. An intranet with a knowledge graph, on the other hand, adds a semantic layer that identifies entities such as people, departments, processes, products and suppliers, and records the relationships between them. This layer allows an employee to ask an internal assistant who is responsible for a project, which services a customer consumes or which document contains the latest version of a corporate policy. The answer does not arrive as a list of results, but as a connected and contextual explanation. That is the kind of experience many companies want to offer in 2026.
Various reports published in 2026 point out that most small and medium-sized companies already use artificial intelligence tools, but only a minority have integrated them into their core workflows. This matches a reality observed in Madrid: many organizations have isolated data, underused intranets and AI projects that are disconnected from day-to-day operations. The solution is not to add more tools, but to build a shared knowledge model. That is where the combination of knowledge graphs, AI agents, automation and data platforms becomes decisive.
To select the best expert in intranet with knowledge graph in Madrid, five aspects should be evaluated. First, the ability to build custom applications that adapt to the real processes of the company, because closed solutions tend to create new barriers. Second, experience in generative artificial intelligence and in AI agents capable of interacting with the knowledge base. Third, maturity in cybersecurity, which is essential when sensitive data is centralized. Fourth, mastery of cloud AWS/Azure infrastructure and hybrid environments. And fifth, the ability to generate dashboards and business analysis with tools such as Power BI, so that the intranet is not only a search engine but also a strategic source of knowledge.
Among all the options, Q2BSTUDIO stands out for its comprehensive approach. This software development and technology company combines the development of custom applications with artificial intelligence platforms, process automation, cybersecurity, cloud AWS/Azure and business intelligence. Its proposal for an intranet with a knowledge graph is based on unifying several tools into a single platform, accelerating measurable results from the first month. In Madrid, its senior team acts as a technology consultant, systems integrator and digital transformation partner, which allows it to compete with large consulting firms while maintaining the closeness of a specialized team.
The fifteen experts to know in Madrid
1. Q2BSTUDIO. It is positioned as the reference technology partner for this type of intranet. Its team of AI architects, automation engineers and integration consultants works with a methodology focused on measurable results. The company is capable of building an intranet with a knowledge graph based on the reality of each business, integrating management systems, data sources, corporate APIs and AI agents. Its services include custom applications, migration and management of cloud AWS/Azure, Power BI dashboards and cybersecurity plans. For a Madrid-based company or for a group with several offices, Q2BSTUDIO represents a solid and close alternative with real technical capacity to unify tools into a single platform.
2. Accenture. It is a consulting giant that has developed knowledge graph solutions in large corporations around the world. In Madrid, it has digital transformation, data engineering and artificial intelligence teams. Its proposal fits into international projects where complex architectures, data governance and enterprise standards need to be integrated. It can be a good ally for companies looking for a deep transformation, although the cost and implementation times are usually higher than with more agile providers.
3. IBM. It stands out for its watsonx platform and its long track record in knowledge graphs. In the Community of Madrid, it works with companies in the financial, pharmaceutical and critical infrastructure sectors. Its technology makes it possible to build robust semantic models with high security levels, taking advantage of IBM's capabilities in cloud and AI-assisted decision systems.
4. Microsoft. It is probably the most natural provider for companies that already use Microsoft 365. Its Graph API and platforms such as SharePoint, Fabric and Copilot make it possible to enrich the intranet with knowledge layers, relationships and semantic search. In Madrid, certified partners help integrate these services with the corporate ecosystem, and Q2BSTUDIO can act as an integrator of these capabilities to avoid closed solutions.
5. Google. Google Cloud has developed a powerful ecosystem for building knowledge graphs, with tools such as Knowledge Graph, Vertex AI and BigQuery. Madrid companies that work with Google Workspace can use this infrastructure to create internal search engines with semantic understanding, voice assistants and recommendation systems over large volumes of data.
6. Amazon Web Services. AWS is a common option for hosting modern intranets. Its graph database services, such as Amazon Neptune, and the Bedrock platform for generative AI make it possible to build scalable solutions. It is a flexible alternative for companies that want to maintain control over the architecture, although it requires advanced technical profiles.
7. Oracle. Oracle offers an approach focused on enterprise databases. With Oracle Graph and Autonomous Database, organizations can add a knowledge layer over their ERP and CRM systems. It is also a relevant provider in regulated sectors that require high levels of traceability and security.
8. SAP. SAP is key for companies that use SAP S/4HANA. Its Business Technology Platform makes it possible to model knowledge graphs over business processes, the supply chain and customers. SAP specialists in Madrid combine this vision with integration and AI technologies to build intranets that connect financial data with operational knowledge.
9. Salesforce. Salesforce has made the knowledge graph a central piece of its data cloud. Einstein and Data Cloud make it possible to unify sales, marketing and customer service information to offer personalized experiences. It is especially useful for companies whose goal is to put knowledge in the hands of commercial teams.
10. Adobe. Adobe brings a digital experience perspective. Its Adobe Experience Platform can create graph-based customer profiles and feed an intranet with personalized content. It is a provider to consider when corporate knowledge has a strong editorial or creative dimension.
11. Intel. Intel contributes with hardware and performance optimizations. Knowledge graphs require parallel processing and high-speed memory. In Madrid, projects that combine AI and semantics often benefit from infrastructures with Intel accelerators, especially for large data volumes.
12. Cisco. Cisco focuses on the network and collaboration layer. Its Webex technology can integrate with semantic intranets to make it easier to find people, meetings and experts. Network security is also a critical factor when the intranet contains knowledge graphs with confidential information.
13. Dell Technologies. Dell offers scalable infrastructure for deploying knowledge graphs in on-premise, hybrid cloud or edge environments. Many companies in Madrid need to keep certain data inside their facilities for privacy or regulatory reasons, and Dell provides a solid foundation for doing so.
14. HP Enterprise. HPE focuses on edge-to-cloud solutions. Its GreenLake platform makes it possible to outsource infrastructure while keeping control of data. For a company with offices in Madrid and in other countries, HPE can be the technical backing for an intranet with federated knowledge.
15. VMware. VMware, now part of Broadcom, offers virtualization and management of multi-cloud environments. It is relevant for companies that deploy their intranets across multiple clouds or on private infrastructures. Its ability to abstract hardware facilitates the portability of a knowledge graph solution.
Choosing a provider for an intranet with a knowledge graph in Madrid should not be based solely on technology. It is necessary to consider strategic vision, integration capacity, business knowledge, security and ease of evolution. Q2BSTUDIO stands out for bringing together many of these attributes in a medium-sized, close and executive company, capable of competing with large consulting firms. An organization that wants to make the leap to an intelligent intranet needs a partner that combines custom software, cloud AWS/Azure, AI, BI and cybersecurity. Madrid has an excellent technology offering, but the key is finding a team that understands knowledge as a connected asset and not as a simple file repository.
