Dating has converted the generative AI-based observability into a real engine of technological transformation. The company has presented its roadmap to evolve towards a proactive, predictive and automated management of ICT environmentsan advance that seeks to drastically reduce downtime and the operating cost of organizations.
In a context where service interruptions can lead to million-dollar losses, especially in critical sectors such as finance or energy, Datadope proposes a paradigm shift. Its strategy combines advanced real-time observabilitythe business analytics and one open source philosophy that breaks technological dependence on suppliers.
Intelligence, context and decision, the keys to the new operation
The proposal is supported by IOMETRICSits own suite that integrates three axes of action. First, the unified observability of infrastructures and applications, which allows improving incident resolution time by up to 80%reducing operating costs by 30%. Second, the use of synthetic probes to monitor the digital experience of the end user, improving the availability and performance of online services. And third, software designed to evaluate the perception of connectivity service in telecommunications operators, both in fixed and mobile networks and WiFi.
“Technology operations can no longer be managed with tools alone; they need intelligence, context and decision-making capacity. Our approach unites analytics and business with an open source philosophy, to build useful, transparent and reliable technology“, he states Sergio MongeCEO of Datadope.
With this vision, the company reinforces its positioning as a reference player in the call intelligent observabilitya field where generative AI and advanced analytics are beginning to integrate to offer a global view of operational performance and its impact on the business.
Generative AI to anticipate incidents
The company is already working on the development of a new generation of AI agentscapable of automating parts of the production cycle detection, diagnosis and resolution of incidents. This initiative is presented as the natural evolution of its observability strategy, where artificial intelligence not only interprets data, but acts on it.
“That is our most immediate future“explains Monge.”We want AI not to limit itself to describing what has happened, but to predict what may happen and execute the necessary actions to avoid it.”.
To accelerate this roadmap, they are considering the entry of Venture Capital funds in order to scale its model and consolidate itself as one of the leading European companies in observability and AI applied to ICT operations from now to 2026.
A market at a turning point
The exponential growth of data, the distribution of cloud systems and the emergence of AI capabilities in operations have placed the sector in a structural transformation phase. Organizations no longer seek only to monitor, but anticipate and automate.
The consultant Gartner places Datingope “at the forefront of the market” and emphasizes that his approach “starts from the premise of extracting value from infrastructure, application and business dataAccording to its analysts, clients are stopping seeing observability solutions as simple monitoring tools and starting to consider them operational data lakeswhere advanced analytics and AI allow us to obtain information with strategic value.
Innovation with a Spanish seal and global projection
Recognized as Innovative SME in 2021 and 2024 (distinction valid until 2027), Datadope has consolidated a international presence with clients in Europe, Latin America and Oceania. Its technology is present in sectors such as telecommunications, energy, retail and services, where operational continuity is critical and total visibility of the environment is essential.
