N

nuela

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Nuela is a Madrid-based technology company founded in 2024, specializing in AI-powered scheduling solutions for educational institutions. Its mission is to revolutionize school administration by providing efficient, optimized scheduling that considers teacher availability, course requirements, and space limitations. By leveraging artificial intelligence, Nuela aims to enhance the operational efficiency of schools, ensuring a balanced distribution of resources and improved educational outcomes.

Key Strategic Focus

Nuela's core objective is to streamline the complex process of school scheduling through its proprietary AI platform. The company focuses on developing intelligent algorithms that generate optimized schedules within minutes, addressing the unique constraints and needs of educational institutions. By targeting the education sector, Nuela seeks to alleviate administrative burdens, allowing educators to concentrate more on teaching and less on logistical challenges.

Financials and Funding

In April 2024, Nuela secured $322,000 in angel funding from four investors: Guillermo Peigneux, Javier Costa, Juanjo Mostazo, and Manuel Vila. This capital infusion is intended to support product development, enhance technological capabilities, and expand market reach within the education sector.

Technological Platform and Innovation

Nuela's platform stands out due to its advanced AI-driven scheduling capabilities. The proprietary technology employs sophisticated algorithms to analyze various factors such as teacher availability, course requirements, and spatial constraints, producing optimized schedules rapidly. This innovation addresses a critical pain point in school administration, offering a solution that is both time-efficient and adaptable to the dynamic needs of educational institutions.

Leadership Team

The leadership team comprises:

  • David Giner, Co-Founder & Chief Executive Officer: Brings extensive experience in technology and education sectors, leading the company's strategic vision and operations.


  • Juan López, Co-Founder & Chief Operating Officer: Oversees daily operations, ensuring the seamless implementation of Nuela's solutions in client institutions.


  • Juan Altimari, Co-Founder & Chief Product Officer: Drives product development, focusing on enhancing the platform's features and user experience.


Competitor Profile

Nuela operates in the educational technology sector, specifically focusing on scheduling solutions. A notable competitor is Peñalara Software, based in Segovia, Spain, which also offers scheduling software for educational institutions. While both companies aim to optimize school timetables, Nuela differentiates itself through its AI-driven approach, potentially offering more adaptive and efficient scheduling solutions.

Strategic Collaborations and Partnerships

As a startup, Nuela is in the process of establishing strategic partnerships to enhance its market position. Collaborations with educational institutions and technology providers are anticipated to strengthen its platform's capabilities and expand its reach within the education sector.

Operational Insights

Nuela's competitive advantage lies in its AI-driven scheduling platform, which offers rapid and optimized solutions tailored to the specific needs of educational institutions. This technological edge positions the company favorably against competitors that may rely on more traditional scheduling methods.

Strategic Opportunities and Future Directions

Looking ahead, Nuela plans to expand its product offerings to cater to a broader range of educational institutions, including universities and vocational schools. The company also aims to integrate additional features such as real-time schedule adjustments and analytics to further support administrative decision-making. By continuously innovating and responding to the evolving needs of the education sector, Nuela is poised to become a leading provider of AI-powered scheduling solutions.

Contact Information

  • Website: nuela.app


  • Headquarters: Madrid, Spain

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