Project cooperationUpdated on 25 April 2025
SezAI: Secure On-Premise Generative AI for Industry Optimization
About
SezAI offers advanced generative AI solutions designed explicitly for secure, closed-environment operations within industrial enterprises. Utilizing our proprietary Large Language Model (LLM), MARS, SezAI enhances efficiency by intelligently optimizing processes while ensuring complete data security and regulatory compliance.
Key capabilities:
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Closed Environment Deployment: Operates fully on-premise, ensuring sensitive data remains within your secure infrastructure.
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Customizable AI (MARS LLM): Our proprietary model is specifically trained to address the unique needs of industrial sectors, enabling high performance in specialized use cases.
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Process Optimization: Drives measurable improvements in production efficiency, workflow automation, resource allocation, and operational decision-making.
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Enhanced Data Security: Guarantees robust data protection with no external data transmission, satisfying stringent compliance and security regulations.
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Industry-specific Adaptation: Easily integrates into various industry domains such as manufacturing, energy, logistics, and critical infrastructures.
We seek collaboration with consortia interested in secure, privacy-focused generative AI solutions to transform and optimize industrial processes within Horizon Europe's Cluster 4 - Industry calls.
Stage
- Completing the consortia
Topic
- CL4-INDUSTRY | ADV_MANU | TWIN-TRANSITION-02: Physical and cognitive augmentation in advanced manufacturing
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-39: Towards human-centric, sustainable and resilient energy-intensive industries
- CL4-INDUSTRY | AI_in_SCI | DIGITAL-61: AI Foundation models in science
- CL4-INDUSTRY | KNOW_VAL | HUMAN-62: Artificial Intelligence for knowledge valorisation
- CL4-INDUSTRY | TECH_INFRA | HUMAN-65: System innovation experimentation for Industry 5.0
Call
- Cluster 4 2025 Call - INDUSTRY: all topics
- Cluster 4 2025 Call - INDUSTRY two-stage: all topics
Type
- Partner seeks Consortium
Attached files
Organisation
Similar opportunities
Project cooperation
Technical Expertise in Artificial Intelligence and Natural Language Processing (NLP)
- Partner seeks Consortium
- Cluster 4 2025 Call - INDUSTRY: all topics
- CL4-INDUSTRY | AI_in_SCI | DIGITAL-61: AI Foundation models in science
- CL4-INDUSTRY | AI_in_SCI | DIGITAL-62: Facilitated cooperation for AI in Science
- CL4-INDUSTRY | KNOW_VAL | HUMAN-62: Artificial Intelligence for knowledge valorisation
Antonio García Cabot
Associate Professor and Head of Research Lab at INTELIA Lab (University of Alcala, UAH)
Alcalá de Henares (Madrid), Spain
Project cooperation
Searching For Partners: HORIZON-CL4-INDUSTRY-2025-01-HUMAN-65
- Partner seeks Consortium
- Cluster 4 2025 Call - INDUSTRY: all topics
- Cluster 4 2025 Call - INDUSTRY two-stage: all topics
- CL4-INDUSTRY | TECH_INFRA | HUMAN-65: System innovation experimentation for Industry 5.0
Matthias Keller
Doctoral Researcher at Vlerick Business School
Brussels, Belgium
Project cooperation
🇪🇺 Open Source Cloud & Edge Computing Platform
- Completing the consortia
- Partner seeks Consortium
- Cluster 4 2025 Call - INDUSTRY: all topics
- Cluster 4 2025 Call - INDUSTRY two-stage: all topics
- CL4-INDUSTRY | AI_in_SCI | DIGITAL-61: AI Foundation models in science
- CL4-INDUSTRY | AI_in_SCI | DIGITAL-62: Facilitated cooperation for AI in Science
- CL4-INDUSTRY | TECH_INFRA | HUMAN-64: Pilot initiatives on Technology Infrastructures
- CL4-INDUSTRY | KNOW_VAL | HUMAN-62: Artificial Intelligence for knowledge valorisation
- CL4-INDUSTRY | TECH_INFRA | HUMAN-65: System innovation experimentation for Industry 5.0
- CL4-INDUSTRY | KNOW_VAL | HUMAN-63: Value creation pilots for scaling up innovative solutions
Alberto P. Martí
VP of Open Source Innovation at OpenNebula Systems
Madrid, Spain