SOARING YOUR CONSORTIUM TO HORIZON EUROPE GRANT SUCCESS
Eagle Synergy Network supports the development of Horizon Europe consortium projects with expertise and a partner-centric mindset.
From shaping initial concepts to preparing proposals, we work alongside collaborators throughout the grant lifecycle, applying innovative approaches tailored to each project’s unique strengths.
Our team’s interdisciplinary background in research and innovation enables us to help position consortia for competitive,
well-structured proposals aligned with European priorities.
Our Mission
Fostering Collaboration – We bring together diverse partners across academia, industry, and society to co-create strong, multidisciplinary consortia.
Enabling Excellence – We support the translation of ambitious research ideas into structured proposals that respond directly to Horizon Europe’s priorities.
Driving Impact – We aim to ensure that projects not only succeed in funding competitions but also generate lasting contributions to science, innovation, and society.
Our Strategic Capabilities
Strategic Partnerships
We help organizations identify, build, and sustain strategic alliances that enhance their innovation capacity. From concept to execution, we enable partnerships that generate mutual value, extend capabilities, and reinforce competitiveness across global markets.
Technology Transfer
We bridge the gap between research and real-world impact by turning scientific breakthroughs into viable, market-ready solutions. Our expertise covers intellectual property strategy, commercialization planning, and partnership development to accelerate technology adoption across industries.
AI-enabled matching
Our AI-driven matching engine analyzes organizational strengths and R&D priorities to identify the most relevant funding opportunities. By combining automated insights with expert validation, we streamline the grant discovery process and enhance win rates.
Sectoral Expertise
Our extensive cross-sector experience—from health and life sciences to AI, sustainability, and advanced industries—enables us to craft strategies attuned to each market’s distinct dynamics. This sector-specific approach drives sharper positioning, stronger partnerships, and measurable impact.
Innovation Strategy
We guide organizations in shaping clear, future-oriented innovation trajectories by aligning emerging technologies, market dynamics, and internal capabilities. Our tailored strategic frameworks transform innovation goals into actionable, scalable initiatives that drive sustainable long-term value.
AI Governance
We design governance frameworks that promote responsible, transparent, and secure AI adoption. Our approach embeds ethical standards, robust risk management, and organizational alignment to ensure the safe and sustainable deployment of AI across all operations.
Consortium Building
We design, establish, and manage high-performing consortia that bring together industry, academia, and the public sector. Our structured methodologies foster effective collaboration, streamline governance and communication, and ensure each partner contributes strategically toward shared goals.
AI Compliance
We help organizations navigate the evolving landscape of AI regulation at both national and international levels. Our compliance solutions address data protection, transparency, accountability, and documentation requirements—minimizing risk while fostering innovation and trust.
Our Collaborators
We leverage a strong partner ecosystem that spans across the technology stack and seasoned, certified specialists to deliver exceptional customer value.
HORIZON-HLTH-2026-01-TOOL-03
Integrating New Approach Methodologies (NAMs) to advance biomedical research and regulatory testing
Pacific AI’s AI Policy Suite is highly relevant
Opens: 10 February 2026
Deadline: 16 April 2026
Funding: €5–8M per project | Total budget €50M
Type: Research & Innovation Action (RIA)
This call supports the integration of next-generation New Approach Methodologies (NAMs) to create safer, more predictive, and human-relevant biomedical tools.
NAMs include technologies such as: advanced in vitro systems, organ-on-chip platforms, computational and AI-driven prediction models, high-throughput screening methods, and data-rich human-based models.
Why join?
Consortia will help shape Europe’s future of non-animal, innovative testing. Ideal partners include research institutes, biotech and MedTech developers, AI specialists, regulatory science experts, and health agencies.
Opportunity:
Selected projects will join an EU-wide NAMs cluster, gaining increased visibility, collaboration opportunities, and influence in regulatory innovation.
Upcoming Opportunities
HORIZON-WIDERA-2026-06-ERA-04
Piloting Innovative Support for Academic Startups & Spinoffs
Strengthening knowledge valorisation and market uptake across Europe.
Opens: 10 December 2025
Deadline: 12 March 2026 (17:00 Brussels time)
Funding: ~€2.0M per project (lump sum) | Total budget €4.0M
Type: Coordination & Support Action (CSA)
Programme: Horizon Europe – WIDERA (ERA)
This call supports innovative, pilot-based approaches that help academic startups and spinoffs validate market and societal needs, engage end-users, and strengthen pathways to industry uptake. The focus is on upgrading knowledge-valorisation ecosystems and accelerating the translation of research results into real-world impact.
What projects will do:
Funded consortia will run at least 20 pilot actions across Europe, enabling university spinoffs and early-stage startups to test desirability, refine value propositions, and engage with industry, societal actors, and end-users. Projects will also develop and share practical methodologies and best practices for market and societal fit, ensuring broad geographical coverage and inclusivity.
Why join?
This is an excellent opportunity for organisations experienced in real-world experimentation and innovation support, including science and technology parks, living labs, innovation hubs, accelerators, and knowledge-valorisation actors. Selected projects will connect to the EU Knowledge Valorisation Platform and collaborate with existing ERA initiatives, gaining strong visibility and policy relevance at EU level.
HORIZON-HLTH-2027-03-TOOL-08
Towards Artificial General Intelligence for healthcare
Strong expertise in artificial intelligence, data, and health-innovation ecosystem building is highly relevant — particularly in strategic roadmap creation, trustworthy artificial intelligence, multimodal health data readiness, and stakeholder community building.
Opens: 03 June 2027
Deadline: 22 September 2027
(17:00 Brussels time)
Funding: ~€2.90M per project
Type: Coordination and Support Action
What this call supports
This topic funds coordination and support activities that help Europe develop and responsibly use the next generation of advanced artificial intelligence models for healthcare, moving toward artificial general intelligence for healthcare applications.
It focuses on how researchers and innovators can:
Develop and apply advanced artificial intelligence models for healthcare, including the expansion of large foundation models toward inclusive and personalised medicine
Leverage highly heterogeneous and multimodal health data, spanning clinical records, medical imaging, laboratory data, and molecular information
Co-create a shared, pan-European roadmap for the development of next-generation artificial intelligence models for healthcare
Why join?
This is an ideal opportunity for consortia aiming to shape Europe’s strategic direction in advanced artificial intelligence for health, especially where success depends on:
Pan-European coordination across artificial intelligence, biomedical research, clinical expertise, ethics, and health-data infrastructures
Practical alignment of model development with trustworthy artificial intelligence requirements and emerging European regulatory frameworks, including the European Health Data Space and the Artificial Intelligence Act
Transforming fragmented multimodal health data into interoperable, privacy-preserving resources suitable for advanced model development