Making Science has launched AWAKE, a global AI startup studio aimed at accelerating the creation of homegrown AI startups with hubs in Chicago, Madrid, and Tbilisi.
Making Science Consulting launches AWAKE, an AI Venture studio designed for industrialization, native artificial intelligence and business solutions.The internally tested prototype is backed by the Center of Excellence, distributed between Chicago, Madrid and Tbilisi, and seeks to transform operational efficiency derived from careful use of AI into a system of reproducible innovation.
According to the company itself, the integration of AI into its processes has been able to double the speed of technological development and significantly reduce the delivery times of special customers.This previous experience will be the basis for AWAKE, which presents its work around two engines: AI Creation, which focuses on finding and validating opportunities, and AI Forge, which controls the creation and expansion of selected projects.
The AI-first approach is not new, but Making Science takes it a step further by combining it with a design-first approach to global infrastructure and value creation.Instead of incubating ideas in isolation, AWAKE is introduced as a systemic innovation factory where every new solution born has AI DNA and an international mission.Ad-Machine, a startup specializing in marketing automation, is one of the cases the company uses as a reference: since its integration into the Making Science ecosystem, its value has increased tenfold.
Although the concept of a studio is not new in the field of technology, its specific application to the development of AI-first solutions makes a lot of sense.Unlike traditional startups, AWAKE does not seek external talent to build a startup, but uses internal capabilities and collaborative processes to drive value creation.This allows us to reduce common conflicts such as lack of technical resources, disorganized teams or collaboration.a combination of first-level efforts.
"Awaken is more than just a venture studio, it's about industrializing the next generation of native AI solutions," Life Science CEO Jose Antonio Martínez Aguilar summed up as an attempt to free startup talent from structural barriers.
AWAKE's framework is supported by three pillars: AI-first thinking, global integration and shared infrastructure.The latter allows teams to work from day one with access to international talent, advanced tools, and standardized processes.Theoretically, this should translate into faster execution speed and lower failure rates in the validation phase.
However, the challenge is not negligible.The industrialization of innovation, especially in such a volatile field as artificial intelligence, increases the tension between scalability and differentiation.Standardization of processes can speed up development, but it also entails the risk of homogenization of solutions.In this regard, the balance between operational efficiency and technical creativity will be the key to the success of the model.
The launch of AWAKE also strengthens Making Science's position as an important player in the European digital innovation ecosystem.With more than 1,200 employees and a presence in 17 markets, the company has established a structure that combines consulting, technology and venture capital.AWAKE joins other initiatives such as RAISING, its technology and innovation division, and Ventis, its investment vehicle.
In parallel, Making Science has developed its own tools, such as ad-machina, a marketing platform based on autonomous agents, and solutions such as Trust Generative AI or Gauss AI, which aim to optimize business processes through generative AI.These technologies not only power the internal ecosystem, but also serve as the foundation for new startups emerging within AWAKE.
The ambition of the project is clear: to create a repeatable model that turns the creation of startups into a systematic process based on data, distributed talent and automation.In the medium term, this could make Making Science one of the first European players to apply industrial principles to AI-based innovation.
However, success will depend on the studio's ability to maintain a constant flow of viable ideas, attract high-level technical talent, and adapt to a regulatory environment that is still evolving.For example, recently proposed European AI regulation could impact the scalability of some models if it places restrictions on data use or algorithm transparency.
For now, AWAKE starts with a clear roadmap and operational infrastructure already in place.If it manages to keep pace and overcome the sector's structural challenges, it could become a case study in how to industrialize innovation without losing agility or technological focus.
