Silo AI

Silo AI is Europe's largest private AI laboratory, headquartered in Helsinki, Finland. Established in 2017, the company boasts a team of over 300 AI experts, including 125 PhD-level specialists, making it a powerhouse in the AI industry. Silo AI offers customizable AI solutions and comprehensive services to help businesses across various sectors integrate advanced AI technologies into their products and operations. The company has successfully implemented over 200 production-grade AI projects, demonstrating its expertise and effectiveness in delivering AI-driven solutions.

Silo AI's offerings include end-to-end AI implementation services, from strategy formulation to production deployment, leveraging its extensive team of experts. The company specializes in areas such as computer vision, natural language processing, and machine learning operations (MLOps). Additionally, Silo AI has contributed to the AI community by developing open-source large language models, such as Poro and Viking, which are available for public use. Their MLOps capabilities provide robust tools and infrastructure for scalable AI feature development and deployment.

Highlights:

• Europe's largest private AI lab with over 300 AI experts
• Successful delivery of over 200 production-grade AI implementations
• Specialization in computer vision, NLP, and MLOps
• Development of open-source large language models
• Comprehensive end-to-end AI services

Key Features:

• Customizable AI solutions through Silo OS platform
• Access to a team of 300+ AI experts, including 125+ PhDs
• End-to-end AI services from strategy to production
• Open-source AI models like Poro and Viking
• MLOps capabilities for scalable AI development

Benefits:

• Extensive AI expertise with a large team of specialists
• Customizable solutions adaptable to various industries
• Strong partnerships with major tech and industry leaders
• Focus on open-source AI development
• Comprehensive support from strategy to deployment

Use Cases:

• Automotive HMI design with generative AI
• Maritime asset management using AI platforms
• Logistics optimization through machine learning
• Energy sector conservation with computer vision
• Weather insights improvement via deep learning