Automated Scientific Discovery – Food (RAISE pilot)
Horyzont Europa · Temat konkursu
Podsumowanie
Polska firma może skorzystać z tego naboru na B+R.
Funds multinational consortia developing trustworthy AI-driven laboratory automation and closed-loop experimentation demonstrators for food research.
- Kto może złożyć wniosek
- Firma może być liderem: SME, large company, startup, research org, university.
- Kwota
- 3 000 000 €Budżet orientacyjny
- Termin
- 02.02.2027 01:00 CETza 101 dni
- Status
- Otwartyotwarty 13 paź 2026
Ocena maszynowa na podstawie tekstu naboru; warunki sprawdź u źródła.
Opis
Expected Outcome:
Project results are expected to contribute to the following expected outcomes:
• Development of closed-loop scientific experimentation systems that integrate automation with AI-driven, trustworthy decision-making processes in existing laboratory environments;
• Accelerated scientific discovery with increased efficiency and reproducibility;
• Improved scientific productivity;
• Advancement of laboratory automation, including development of best practices, challenges, and opportunities for accelerating R&D;
• Prototype functional demonstrators that showcase the integration of automation with AI-driven decision-making, enabling the development of closed-loop scientific experimentation systems.
Scope:
This topic addresses the development of safe and trustworthy closed loop scientific experimentation systems through the integration of laboratory automation with AI-driven decision-making processes and robust data infrastructures. The funded project will help scientific labs with an already advanced level of automation and digitalisation to design, develop, and test the intelligence layer that enables scientific instrumentation to semi- or fully autonomously plan, run, and analyse experiments, ideally in coordination/network with other labs and without requiring a complete redesign of existing laboratory outfitting.
Proposals will incorporate comprehensive data management systems capable of handling the collection, storage, processing, and sharing of experimental data. This includes developing scalable and secure data storage solutions, efficient data processing and analysis tools, and mechanisms to facilitate data sharing and collaboration across labs, while ensuring data security and privacy.
Systems could incorporate AI-driven resource optimisation modules, actively minimising energy, reagent, and material consumption during automated experimentation cycles. Systems should incorporate appropriate level of security and robustness by design.
Proposals should demonstrate how an existing lab can be retrofitted with AI-driven software systems to plan, execute, and analyse experiments in a closed-loop fashion, incorporating human oversight and interaction to ensure accuracy, safety, and ethical compliance.
Possible research targets include (non-exhaustively):
• Autonomous/semi-autonomous and adaptive AI systems (including agentic AI) that connect with laboratory instruments and robotics and can autonomously plan, act, learn and adapt within a scientific environment, within a validated safe pipeline;
• Assistive and interactive safe AI-managed robotic systems that automate diverse experiments and can be applied to a diverse hardware setup;
• Scalable automation solutions and networked AI systems that enable collaborative experimentation across multiple labs and networks of labs (including different geographic locations), supporting the simultaneous execution of large volumes of experiments;
• Systems that provide real-time data processing and analytics, enabling immediate feedback and dynamic adjustments during experiments;
• Standards and protocols to ensure interoperability between different laboratory instruments, robotics, and AI systems;
• Intuitive user interfaces for enhanced human-machine interaction;
• AI-driven predictive maintenance systems to optimize equipment uptime and resource utilization;
• Exploration of how scientific automation technologies can be adapted for use in various scientific disciplines beyond those in the scope of this call.
While the scope of this call prioritises software development, it does not exclude the justified purchase of complementary equipment necessary to implement the research targets of the project.
Impact areas of automated experimentation in biomass and precision fermentation could include the development of alternative protein sources in food production and alternative fats, bio-based materials, specialty carbohydrates, biotechnologies in food systems (such as biochemicals, microbial cultures, etc), food ingredients.
International collaboration is encouraged.
Kto może złożyć wniosek – szczegóły
- Typy wnioskodawców
- SME, Large company, Startup, Research org, University
- Cel
- Badania i innowacje
- Znaczenie dla B+R
- 3 z 3
- Polska kwalifikuje się
- Tak
- Ograniczenie krajów
- —
- Region
- Dowolny
- Konsorcjum
- Wymagane
- Poziom gotowości (TRL)
- —
- Tematy
- Food research
- Laboratory automation
- AI-driven experimentation
- Closed-loop scientific discovery
- Research data infrastructure
Ocena maszynowa na podstawie tekstu naboru; warunki sprawdź u źródła. 23 paź 2026
Warunki
Fakty wyodrębnione z dokumentów źródłowych w przeglądzie danych Scindu. Każda wartość ma własne warunki. Brak danych oznacza, że źródło nie podaje wartości, a nie zero ani brak limitu.
- Typ wnioskodawcy
- Unless topic-specific conditions provide otherwise, RIA applicants must form a consortium of at least three independent legal entities established in three different countries: at least one in an EU Member State and two others in different Member States or Associated Countries. Affiliated entities do not count toward the minimum.
- Zakres projektu
- Projects must develop safe and trustworthy closed-loop scientific experimentation systems integrating laboratory automation with AI-driven decision-making and robust data infrastructure, demonstrate retrofitting an existing advanced laboratory, include human oversight, and address the food/biotechnology impact area stated in the topic. Software development is prioritised; complementary equipment may be purchased only when justified.
- Inny warunek
- Single-stage call opened 13 October 2026 and has a deadline of 2 February 2027 at 17:00 Brussels local time. The Work Programme permits the Director-General to move opening by up to one month or deadline by up to two months; no later amendment was verified.
- Inny warunek
- The Work Programme expects around EUR 3.00 million per project and anticipates 1 project(s), but expressly permits proposals requesting different amounts. This is an indicative expectation, not a fixed project minimum or maximum.
- Inny warunek
- The catalogue row identifies this exact topic as HORIZON-RAISE-2027-01-02; the retained current normalized record marks it open. Official topic conditions are in the 2026-2027 Work Programme.
Kwoty i koszty
- Budżet orientacyjny
- 3 000 000 €
Budżet tematu z tabeli budżetowej portalu. Limity na projekt i ryczałty są w warunkach konkursu.
- Alokacja naboru
- 30 500 000 €
- Koszt kwalifikowalny
- Topic action type is Research and Innovation Actions. The current SEDIA action metadata identifies the corresponding Horizon grant model; the official Work Programme controls the topic-specific amount and conditions.
- Koszt kwalifikowalny
- Direct-contract natural persons and paid seconded persons may count as personnel only if assigned to the action, subject to general eligibility, working under conditions similar to employees and with results belonging to the beneficiary unless otherwise agreed. Their rate must reflect actual contract/secondment costs and not be significantly different from comparable employee costs.
- Koszt kwalifikowalny
- For employee personnel in budget-based actions, the MGA uses actual personnel costs: daily rate is the person’s annual personnel costs divided by 215, multiplied by identifiable action day-equivalents; annual reported EU-grant day-equivalents cannot exceed 215 less parental leave. This is an accounting formula, not a salary ceiling or offered wage.
- Alokacja tematu
- 3 000 000 €
Personel i usługi
Inna rola
Koszt personelu, który grant może sfinansować
The budget-based grant may include employees/equivalent, direct-contract natural persons, and seconded persons only subject to the MGA personnel conditions; SME-owner/natural-person beneficiary work uses the applicable unit-cost method. No topic-specific headcount, FTE, salary amount, pay cap, or employment duration is prescribed. This describes conditional cost eligibility, not a topic-mandated hire.
Dokumenty źródłowe
Dane naboru
- Otwarcie
- 13 paź 2026
- Tryb terminów
- Single-stage
- Program
- Horyzont Europa · 2021 - 2027
- Konkurs
- HORIZON-RAISE-2027-01 · AI in Science
- Rodzaje działań
- HORIZON Research and Innovation Actions
- Słowa kluczowe
- AI
- AI Science
- AI in Science
- Alternative protein sources
- Biotech
- Food
- Food Systems
- Food ingredients
- Interdiscipinary Research
- Laboratory automation
- Precision fermentation
- RAISE
- Research automation
- Robotics
- Self-driving labs
- Źródło
- ec.europa.eu
- Sprawdzono
- 23 paź 2026
- Aktualizacja portalu
- 13 paź 2026
- Status przeglądu
- Przegląd częściowy
- Przejrzano
- 23 paź 2026
To skrót ze strony źródłowej, nie tekst urzędowy. Kwalifikowalność, warunki i system składania wniosków są u źródła.