And what if the future of artificial intelligence doesn’t lie solely in building ever-larger models? With this question as a starting point, TurbineH, a new Spanish tech company, enters the market with an ambitious proposal: to explore new ways of developing AI that is more efficient, specialized, and capable of better meeting the real needs of businesses and institutions.
One of its main objectives is to forge an AI up to 50 times more energy-efficient through an innovative configuration, contrasting with today’s mammoth models spreading from the United States and China, which require so many resources that they become unsustainable.
TurbineH has blended research and business application since its inception. The company develops technology that is already being used by clients and, at the same time, works on new architectures that explore an evolution of AI based on specialized systems capable of collaborating with one another.
At the helm of the project is Álex Ruiz, a tech entrepreneur and successful founder who previously led ChecktoBuild, a company integrated into a large North American technology firm. He now enters a new phase with a project that aims to contribute from Spain to the discussion about where AI should evolve.
“In recent years we have witnessed a race to develop ever larger and more powerful models. We believe it’s worth exploring another path: more specialized intelligences that work together and are able to achieve better results using fewer resources. We want to investigate what the next step for AI could be and lead it from Europe,” explains Ruiz, CEO.
An AI that adapts to the business, and not the other way around
This vision is already making its way to the market through Brain Operating System, the technology developed by TurbineH to connect the knowledge that an organization has dispersed across its various tools, documents, and systems, and to use AI to work on all of it.
The philosophy is simple: let the software adapt to the company, not the other way around. In this way, an organization can leverage its own knowledge to automate tasks, create processes, and develop tools tailored to its needs.
“For decades, companies have had to shape their work styles to fit the programs they used. AI makes it possible to flip that relationship and build technology around the needs and knowledge of each organization,” says Alex Ruiz.
Alongside its enterprise solutions, TurbineH has begun offering a variety of ready-to-use AI tools to businesses and professionals at no cost, making it easy to access some of the possibilities this technology already offers. The first of these, already available, focuses on cybersecurity, and the company plans to gradually roll out new solutions addressing specific and timely needs.
With this initiative, TurbineH also aims to narrow the gap between the real capabilities of AI and how businesses, institutions, and professionals actually use it, facilitating access to practical applications without requiring advanced technical knowledge.
TurbineH’s technology is already being applied in areas such as private healthcare, legal services, and the real estate sector, using a single technological base that can adapt to different processes and needs.
Greater efficiency and greater technological autonomy
Efficiency is another major bet for TurbineH. In the face of AI’s evolution that demands ever more computing power and energy, the company researches and applies ways to enable different specialized systems to solve tasks using fewer resources.
The initial tests point to efficiency gains of roughly twofold, while its research objective is to progressively move toward far greater improvements.
Additionally, there is a commitment to European technological sovereignty. The company operates with a strategic vision that enables combining different AI models and avoiding an absolute dependence on a single vendor.
For the company, sovereignty doesn’t mean abandoning technology developed outside Europe, but having domestic know-how and alternatives that allow businesses and institutions to decide how and with which tools they deploy AI.
“Europe has the talent and the capacity to participate in the next stage of artificial intelligence. It isn’t about isolating ourselves, but about having our own technology and the ability to choose,” says Ruiz.
