In 2026, companies in Las Palmas de Gran Canaria are asking how much an intranet with a knowledge graph costs. The answer is not a fixed number, because this is not about buying a ready-made product. A new-generation intranet is built around the data, people and processes of each organization; therefore, its budget depends on previous digital maturity, the quality of sources and the level of automation a company wants to reach. This is the technical and business perspective to have before requesting a quote.
A knowledge graph inside an intranet makes it possible to model concepts, departments, documents, clients, projects and skills, as well as the relationships between them. With that foundation, a semantic search engine understands the intent of the query and returns contextual answers. AI agents can also operate on the graph to complete internal tasks, generate summaries or recommend experts. For a company in the Canary Islands, this capability means faster onboarding, less duplicated information and a more informed decision-making process.
The real cost of an intranet with a knowledge graph is not limited to initial development. It is necessary to consider the scope of modules, the number of applications to integrate, the complexity of security rules, the amount of historical data and the frequency with which that data is updated. It also matters whether the solution must run in the cloud, on-premises or in a hybrid mode. Organizations already using ERP, CRM or Microsoft 365 often need custom connectors to feed the graph. Each connector requires maintenance, and each automated workflow requires supervision.
As a reference, a focused internal intranet project with semantic search and several workflows can start around 5,000 euros and reach 25,000 euros. A corporate knowledge graph with deep integrations, AI agents, dashboards and advanced security can exceed 40,000 euros, especially when private cloud architectures, VPN connectivity or language model deployments in controlled infrastructures are required. Return on investment is measured in months, not years, when the most operationally impactful processes are prioritized.
Q2BSTUDIO, a software development company in Las Palmas de Gran Canaria, approaches these initiatives with a combination of custom software, cloud architecture and artificial intelligence models. Their approach starts with a process analysis, not a generic demo. This makes it possible to identify which workflows should feed the graph and which indicators will be used to measure improvement. Then a first deliverable is defined so a small group of employees can use it, validating the search experience and the quality of answers before scaling to the rest of the organization.
The architecture phase defines where data resides and how systems connect. Q2BSTUDIO works with AWS/Azure cloud for production environments, as well as private networks and VPNs when information must remain inside the company or in a local data center. Artificial intelligence becomes a cross-cutting layer: automatic document classification, entity extraction, generative answers and AI agents that execute administrative tasks. All of this can be governed from a web portal where business managers define AI behavior without depending on the technical team for every change.
One of the elements with the biggest impact on budget is the management of unstructured knowledge. PDFs, emails, meeting minutes and internal chats are valuable sources, but they require prior cleaning, segmentation and metadata. If the organization also wants to visualize the impact on operations, it is advisable to connect the graph with BI/Power BI tools. This makes it possible to observe resolution times, bottlenecks or levels of knowledge reuse. Q2BSTUDIO includes this analytics layer in the scope when the client needs to justify the investment to management.
In any intranet project with a knowledge graph, cybersecurity is a pillar that should not be treated as an extra. The graph may contain sensitive data about clients, projects and employees. That is why role-based authorizations, complete access traceability and compliance with current regulations in Spain and Europe must be designed. Q2BSTUDIO applies a comprehensive cybersecurity strategy, including risk analysis, endpoint protection and continuous monitoring. Generative AI systems, moreover, can be connected through secure tunnels and private endpoints in Azure when the client requires it, preventing queries from going out to the Internet without control.
For companies in Las Palmas de Gran Canaria, having a local provider brings agility in communication and a better understanding of the business context. The tourism sector, logistics, commerce and technology consultancies have different needs, but all benefit from an intranet that turns internal knowledge into a reusable asset. In addition, investing in this type of technology does not require replacing existing tools completely; an integration layer can be built to connect current systems and prepare the path toward more intensive use of AI.
The ownership model of the platform is another cost driver. By choosing custom development, the company keeps the code, data models and configurations. There is no dependency on per-user licenses of a closed product. Q2BSTUDIO delivers technical documentation and an administration portal so the client can manage AI agents, operational costs and knowledge bases. In this way, the technology team can evolve the system without having to rewrite the product from scratch.
Before asking for a quote, it is advisable to define which problems the intranet must solve, which teams will use it and how success will be measured. With this information, Q2BSTUDIO creates a proposal with phases, costs, timelines and acceptance criteria. The cost of an intranet with a knowledge graph in Las Palmas de Gran Canaria in 2026 will depend on each situation, but companies that combine custom software, AI, cybersecurity and business analytics obtain a system capable of growing with the organization and delivering a fast return.
Organizations that want to evaluate the economic viability of this type of project can request a first conversation with Q2BSTUDIO and obtain a scope report. The important thing is to compare options with data, not with closed packages; each budget should reflect the specific reality of the company.
