The technological ecosystem of Madrid has been the setting chosen by MongoDB this Monday to present its great commitment to digital modernization: MongoDB AMP (Application Modernization Platform). Before an audience of developers and IT leaders, the company has unveiled this new solution powered by artificial intelligence, designed specifically to help companies overcome the burden of legacy applications and technical debt. During the MongoDB Local Madrid 2025 event, it was highlighted that the cost of this debt in the United States derived from failures, maintenance and low quality of the software It is already approaching 4 billion dollarsa figure that illustrates the urgency of the problem.
The MongoDB AMP proposal attacks the rigidity of monolithic systems that hold back innovation. The platform has been presented as a comprehensive solution that combines three key elements– An AI-powered software platform, a proven delivery framework, and a team of dedicated engineers overseeing the process. This “tools, techniques, and talent” approach allows you to transform legacy applications into modern, flexible services, leveraging the MongoDB document model to facilitate continuous evolution without the risks of traditional reengineering.
Andrés Marín, Country Manager of MongoDB in Spain, highlighted the strategic importance of this launch for the national market. As the manager explained, in Spain there is a huge opportunity for modernizationas many organizations, from large banks to midsize companies and growing digital businesses, still rely on mainframes and legacy architectures. Marín assured that, with these innovations, Spanish companies of any size will now be able to modernize more quickly, safely and with less risk.
Data shared during the event supports this view. Customers already using the technology have been able to accelerate code transformation up to 10 times and advance their modernization projects 2 to 3 times faster. Success stories were cited in regulated industries where development cycles were reduced by 90% when migrating to MongoDB Atlas. A notable example was test automation, which in some cases has gone from requiring dozens of hours to being completed in just a few minutes.
On a purely technical level, the company announced also a key measure to democratize access to innovation– The arrival of vector search capabilities to MongoDB Community Edition. Advanced capabilities such as semantic search and Retrieval Augmented Generation (RAG), previously exclusive to the cloud, can now be run locally. This will allow developers and businesses of all sizes to experiment with AI-ready architectures and test vector indexing without the need for additional infrastructure or complex external services.
The event concluded by delving into the future of artificial intelligence and “Agent AI Applications”, autonomous systems capable of perceiving and acting in real time. By integrating “embedding” capabilities directly into the database, MongoDB reaffirms that real modernization is not just about moving data to the cloud, but about transforming the underlying architecture to compete in the new era of AI.
