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Tech for Impact Awards 2026 Tech for Impact Awards 2026

The BSC Connects Tech for Impact Awards present a list of leading companies and their challenges, inviting startups and SMEs, particularly founders in the deep tech and AI fields, to tackle real-world problems defined by leading industry partners.

Each challenge reflects the technology priorities, research areas, and strategic needs of these partners, giving participants the opportunity to contribute impactful and actionable solutions.

Winners will benefit from strategic funding to accelerate their ideas from concept to implementation.

For detailed information about the awards and key details, please read the Terms and conditions here.

Challenges and innovative solutions

Explore the most innovative technological challenges of leading companies and present your solution

  • Renfe
  • Transports Metropolitans de Barcelona
  • Vueling
  • AstraZeneca
  • Air Europa
  • Seat
  • Almirall
  • Aigües de Barcelona
  • Bristol Myers Squibb
  • Accent Obert
  • 3CAT
Renfe

Renfe

Transport and public mobility

For detailed information on the challenges, download the PDF here:

  • Challenge 1

    AI-powered digital twin for railway network simulation and operational optimization.

  • Challenge 2

    Predictive railway operations through digital twins and multimodal data analysis.

Transports Metropolitans de Barcelona

Transports Metropolitans de Barcelona

Transport and public mobility

For detailed information on the challenges, download the PDF here:

  • Challenge 1

    Real-time multilingual videoconferencing.

    Warning

    "This challenge focuses on language technologies; the solution you propose must incorporate the resources from the Aina project. Please find all of the Aina's resources linked here and on the website."

Vueling

Vueling

Transport i mobilitat pública

Para obtener información detallada sobre los desafíos, descargue el PDF aquí:

  • Challenge 1

    Production of eSAF.

  • Challenge 2

    Optimization of flight trajectories.

  • Challenge 3

    Dynamic personalization based on intent.

AstraZeneca

AstraZeneca (Alexion)

Pharmaceutical and biotechnological

For detailed information on the challenges, download the PDF here:

  • Challenge 1

    Shortening the diagnostic odyssey through AI applied to real-world clinical data.

    Warning

    "This challenge focuses on language technologies; the solution you propose must incorporate the resources from the Aina project. Please find all of the Aina's resources linked here and on the website."

  • Challenge 2

    'In silico' trial design: AI and HPC for faster, more efficient, and representative trials.

  • Challenge 3

    Adaptive adherence: intelligent multilingual companions for complex therapies.

    Warning

    "This challenge focuses on language technologies; the solution you propose must incorporate the resources from the Aina project. Please find all of the Aina's resources linked here and on the website."

  • Challenge 4

    Life beyond the prescription: equitable support networks for quality of life in rare diseases.

Air Europa

Air Europa

Public transport and mobility

For detailed information on the challenges, download the PDF here:

  • Challenge 1

    Supporting recovery from disruptions while enabling predictive simulations that proactively identify and mitigate operational risks. The ultimate goal is to explore how quantum computing could transform decision-making in highly complex operational environments.

  • Challenge 2

    Assess the downstream impact of allocation decisions on delays and response time performance. The ultimate goal is to improve operational efficiency and resilience in resource-constrained environments through simple interfaces and actions.

Seat

Seat

Automobile manufacturing

For detailed information on the challenges, download the PDF here:

  • Challenge 1

    Predictive intelligence for IT demand and delivery.

  • Challenge 2

    Predictive intelligence and incident prevention.

Almirall

Almirall

Pharmaceutical

For detailed information on the challenges, download the PDF here:

  • Challenge 1

    Transfer learning framework that adapts neural networks trained in oncology to dermatological applications.

  • Challenge 2

    Development of advanced imaging sensors capable of non-invasively measuring key physiological and structural properties of human skin.

  • Challenge 3

    Platform that centralizes access to biological samples and disease models.

Aigües de Barcelona

Aigües de Barcelona

Water Provider

For detailed information on the challenges, download the PDF here:

  • Challenge 1

    Develop an innovative technology or service that automatically identifies the most crowded tourist areas in Barcelona with insufficient shade, enabling the strategic placement of public hydration points and mobile tourist information offices.

  • Challenge 2

    Transform science and technology into visible change in the city, so that citizens perceive how innovation in water management directly improves their daily lives.

Bristol Myers Squibb

Bristol Myers Squibb

Biopharmaceutical

For detailed information on the challenges, download the PDF here:

  • Challenge 1

    Returning consultation time to the patient and generating reusable structured data for follow-up and research.

    Warning

    "This challenge focuses on language technologies; the solution you propose must incorporate the resources from the Aina project. Please find all of the Aina's resources linked here and on the website."

  • Challenge 2

    We are looking for a rigorous evaluation framework before any deployment; this is precisely the aspect where a research partner adds the most value.

Accent Obert

Accent Obert

Linguistic Institution

For detailed information on the challenges, download the PDF here:

  • Challenge 1

    Develop a functional prototype with four agents, generate an initial corpus of selected debates, and integrate it into the AINA/BSC infrastructure to improve coverage of critical domains in Catalan.

    Warning

    "This challenge focuses on language technologies; the solution you propose must incorporate the resources from the Aina project. Please find all of the Aina's resources linked here and on the website."

  • Challenge 2

    Go from zero to a minimum viable product in three to six months, starting with six to eight A1 units and validating it through a pilot test of approximately 50 to 100 users recruited through a support organization for newcomers.

    Warning

    "This challenge focuses on language technologies; the solution you propose must incorporate the resources from the Aina project. Please find all of the Aina's resources linked here and on the website."

3CAT

3CAT

Digital Platform

For detailed information on the challenges, download the PDF here:

  • Challenge 1

    Large language models for low-resource TV devices.

    Warning

    "This challenge focuses on language technologies; the solution you propose must incorporate the resources from the Aina project. Please find all of the Aina's resources linked here and on the website."

  • Challenge 2

    Real-time dubbing and automatic quality assessment.

    Warning

    "This challenge focuses on language technologies; the solution you propose must incorporate the resources from the Aina project. Please find all of the Aina's resources linked here and on the website."

Download all challenges

Contact with us

For any questions regarding the event, registration, or challenges, write to:

connects@bsc.es

Please allow 2–3 business days for a response.

 

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