Project cooperationUpdated on 25 April 2025
AI-driven Multilingual Voice Assistants for Enhanced Enterprise Efficiency
About
Our solution provides advanced, interactive digital assistants capable of engaging users through natural language processing and conversational AI, available across kiosks, websites, and mobile platforms. These assistants seamlessly integrate with enterprise systems, utilizing company-specific data to offer highly accurate and personalized responses.
Key features include:
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Multilingual support: Our assistants communicate fluently in over 80 languages, facilitating global enterprise usage.
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Multimodal deployment: Accessible via kiosks, web browsers, and mobile applications, ensuring convenient and consistent user experience.
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Company-specific data integration: Rapidly trained on enterprise documents, policies, and product information for precise and relevant interactions.
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Voice interaction: Enables hands-free, natural conversations, significantly enhancing user accessibility and interaction speed.
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Real-time analytics: Captures and provides analytics on user interactions to continuously improve service delivery and operational insights.
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Scalability and security: Designed to scale efficiently with robust data security and compliance with enterprise standards.
We are seeking to join consortia that aim to enhance manufacturing, industry, and business efficiency through AI-driven solutions, particularly under Horizon Europe's Cluster 4 - Industry call.
Stage
- Completing the consortia
Topic
- CL4-INDUSTRY | ADV_MANU | TWIN-TRANSITION-02: Physical and cognitive augmentation in advanced manufacturing
- CL4-INDUSTRY | ADV_MANU | TWIN-TRANSITION-05: Advanced manufacturing technologies for products for the net-zero industry
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-39: Towards human-centric, sustainable and resilient energy-intensive industries
- CL4-INDUSTRY | KNOW_VAL | HUMAN-62: Artificial Intelligence for knowledge valorisation
- CL4-INDUSTRY | TECH_INFRA | HUMAN-65: System innovation experimentation for Industry 5.0
Type
- Partner seeks Consortium
Attached files
Organisation
Similar opportunities
Project cooperation
SezAI: Secure On-Premise Generative AI for Industry Optimization
- 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 | KNOW_VAL | HUMAN-62: Artificial Intelligence for knowledge valorisation
- CL4-INDUSTRY | TECH_INFRA | HUMAN-65: System innovation experimentation for Industry 5.0
- 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
Can Göymen
CEO at Curiosity Technology
istanbul, Türkiye
Project cooperation
- Design - setting the project scope
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-32: Green and resilient flexible production processes
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-36: Safe and clean processing technologies and products
- CL4-INDUSTRY | ADV_MANU | TWIN-TRANSITION-02: Physical and cognitive augmentation in advanced manufacturing
- CL4-INDUSTRY | ADV_MANU | TWIN-TRANSITION-05: Advanced manufacturing technologies for products for the net-zero industry
Tuncay Kamas
R&D Project Engineer, M.Sc., Ph.D. at Tezmaksan
Sivas, Türkiye
Project cooperation
Co2 and energy efficiency for process indıustries
- Partner seeks Consortium
- Design - setting the project scope
- CL4-INDUSTRY | KNOW_VAL | HUMAN-62: Artificial Intelligence for knowledge valorisation
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-32: Green and resilient flexible production processes
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-36: Safe and clean processing technologies and products
- CL4-INDUSTRY | ADV_MANU | TWIN-TRANSITION-02: Physical and cognitive augmentation in advanced manufacturing
- CL4-INDUSTRY | ADV_MANU | TWIN-TRANSITION-05: Advanced manufacturing technologies for products for the net-zero industry
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-34: Smart integration of net zero technologies into Energy Intensive industries
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-39: Towards human-centric, sustainable and resilient energy-intensive industries
- CL4-INDUSTRY | RAW_MAT | MATERIALS-62: Strategic Partnerships for Raw Materials: Innovative Approaches for sustainable production of Critical Raw Materials
- CL4-INDUSTRY | ENE_INT_IND | TWIN-TRANSITION-37: Solving issues in carbon-neutral iron and steel making processes with diverse input materials of varying quality
ACD BİLGİ İŞLEM LTD.ŞTİ. ALİ KAFALI
R&D Manager at ACD BILGI ISLEM
ESKISEHIR, Eskişehir, Türkiye