Sovereign AI Infrastructure
for Horizon Europe
The secure, GDPR-compliant AI backbone for sensitive research missions.
Trusted by consortia working with health data, national security, and critical infrastructure.
8peaks (kennis) provides the technology partner you need: on-premise Generative AI agents that never send data to public clouds. Built for Mission Cancer, Civil Security, Green Cities, and Common European Data Spaces.
Why Partner with kennis?
We solve the Data Sovereignty problem that blocks most EU research projects from using powerful AI.
Zero Data Leakage
Unlike OpenAI or Azure, your sensitive research data never leaves your infrastructure. Full compliance with GDPR, EHDS (European Health Data Space), and NIS2 Directive.
✓ On-Premise Deployment
✓ Private Cloud Compatible
✓ Air-Gapped Option Available
Technical Execution Layer
We're not just advisors—we deploy and run the AI infrastructure. Your consortium gets a working, production-ready system, not a research prototype. Perfect for Innovation Actions and Lighthouse Projects.
✓ Docker & Kubernetes Orchestration
✓ Scalable Edge/Cloud Hybrid
✓ Real-Time Processing
No-Code Agent Builder
Empower non-technical researchers with flow.kennisai.tech—our visual AI workflow designer. Build custom agents for clinical trials, threat intelligence, or climate modeling without writing code.
✓ Visual Drag-and-Drop
✓ Domain-Specific Templates
✓ Full Audit Trails
The Data Sovereignty Gap
Most Horizon Europe consortia want to use advanced AI models for research analysis—but cannot legally send patient records, intelligence reports, or infrastructure blueprints to US servers. kennis closes this gap by running powerful language models entirely within your own data center. You get cutting-edge AI without sovereignty risk.
Strategic Alignment with EU Priorities
kennis directly supports Horizon Europe Missions and Digital Europe Programme objectives.
Horizon Europe · Health
Mission: Cancer · EHDS Compliance
Virtual Human Twins & Patient Data Analysis
Enable privacy-preserving clinical AI for cancer diagnostics, treatment prediction, and virtual patient modeling. Our on-premise LLMs process EHR/genomic data without GDPR violations.
- Use Case: Federated learning across EU hospitals (data stays local)
- Compliance: EHDS, MDR (Medical Device Regulation), ISO 13485
- Models: Any medical-grade LLM deployed on-premise
Civil Security for Society
Border Control · Threat Intelligence · Crisis Management
Secure Intelligence Analysis Without Data Leakage
Provide air-gapped AI infrastructure for law enforcement, border agencies, and defense. Analyze classified documents, predict threats, and coordinate crisis response—all within national networks.
- Use Case: Real-time threat detection from unstructured reports
- Compliance: NIS2 Directive, NATO RESTRICTED compatibility
- Deployment: Secure government clouds (e.g., Proximus Sovereign Cloud)
Climate & Cities (Green Deal)
Mission: Climate-Neutral Cities · Smart Energy
Edge AI for Smart City & Energy Networks
Deploy distributed AI at the edge to process IoT sensor data from energy grids, transport systems, and environmental monitors—locally and in real-time. Reduce latency and carbon footprint of cloud transmission.
- Use Case: Predictive maintenance for wind farms, grid optimization
- Compliance: Energy Efficiency Directive, INSPIRE Directive
- Tech: NVIDIA Jetson, edge Kubernetes, federated learning
Digital Europe Programme
Data Spaces · AI TEFs · Cybersecurity
Common European Data Spaces Infrastructure
Serve as the AI layer for European Data Spaces (Health, Mobility, Green Deal, Manufacturing). Enable secure cross-border data sharing and AI-driven insights while maintaining full sovereignty.
- Integration: Gaia-X connectors, IDSA (International Data Spaces)
- AI TEFs: Testing & experimentation facility partner
- Standards: Interoperable with EU Cloud Services Catalogue
Our Technology Maps to EU Strategic Objectives
Horizon Europe Budget
(2021-2027)
Digital Europe Programme
(AI & Data)
Common European
Data Spaces
GDPR & EU AI Act
Compliant
Our Technical Contribution to Your Consortium
We can lead or contribute to these Work Packages (WPs) in your Horizon Europe proposal:
Work Package Leader: "Secure AI Infrastructure & Deployment"
Objective: Design, deploy, and maintain the sovereign AI platform for all consortium partners. Ensure interoperability, scalability, and security across multi-site deployments.
Deliverables:
- • D1.1: Infrastructure Architecture Document
- • D1.2: Deployment & Operations Manual
- • D1.3: Security Audit Report (3rd party)
Resources:
- • 2 FTE DevOps Engineers (36 months)
- • 1 FTE Security Architect (24 months)
- • Hardware/cloud infrastructure costs
Work Package Leader: "Data Sovereignty & Compliance (EU AI Act)"
Objective: Ensure all AI systems meet EU AI Act requirements (risk classification, transparency, auditability). Implement GDPR-compliant data governance frameworks.
Deliverables:
- • D2.1: AI Risk Assessment (per EU AI Act)
- • D2.2: Data Protection Impact Assessment (DPIA)
- • D2.3: Conformity Assessment Documentation
Resources:
- • 1 FTE Legal/Compliance Officer (18 months)
- • 1 FTE Data Governance Specialist (24 months)
- • External legal consultancy budget
Task Contribution: "Development of Domain-Specific AI Agents"
Objective: Build custom AI agents tailored to project use cases (e.g., medical diagnosis assistant, climate data analyzer, threat intelligence aggregator). Enable end-user customization via no-code tools.
Deliverables:
- • D3.1: Domain Agent Prototypes (M12)
- • D3.2: User Training Materials & Workshops
- • D3.3: Performance Benchmarking Report
Resources:
- • 2 FTE AI Engineers (30 months)
- • 1 FTE UX Designer (12 months)
- • Model fine-tuning compute budget
Task Contribution: "Dissemination & Exploitation (Innovation Management)"
Objective: Coordinate knowledge transfer activities, open-source contributions, and standardization efforts. Prepare commercialization strategy for post-project sustainability.
Deliverables:
- • D4.1: Dissemination & Exploitation Plan
- • D4.2: Open-Source Release (GitHub)
- • D4.3: White Papers & Technical Briefs
Resources:
- • 0.5 FTE Innovation Manager (36 months)
- • Conference participation budget
- • Marketing & communication budget
Building a Consortium?
Let's Secure Your Data Layer.
We're actively seeking partnerships for 2025-2026 Horizon Europe calls. If you need a technology partner with proven AI infrastructure and Belgian SME status, let's connect.
Email Us
info@8peaks.ioConnect on LinkedIn
/company/8-peaksPartner Inquiry Form
Tell us about your consortium and we'll respond within 48 hours.