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Multimodal AI
Make powerful predictions by combining multiple sources of information such as images, documents, databases, or sensors. Multimodality empowers ENAIA to paint a more complete and detailed picture, uncovering insights that a unimodal AI might miss and ensuring a richer understanding of complex contexts.
Customized to your business
ENAIA learns from your own business logic to perform highly-specific tasks. Tailored to fit your unique requirements, ENAIA absorbs the nuances of your business to deliver highly accurate responses.
Data Privacy
Your data belongs solely to you. ENAIA will never use your data to train AI models for other customers. Our privacy policy is meticulously crafted to meet the utmost levels of data confidentiality, ensuring that your information is utilized solely for the purposes you agree to.
Easy to use
The web-based app makes it easy to interact with ENAIA and collaborate in the AI training and monitoring. Your teammates will be able to train and supervise the AI with a few clicks, without the need for AI knowledge. This feature ensures a user-friendly experience that maximizes efficiency and minimizes learning curves.
Easy to integrate
Plug ENAIA into your own system thanks to an intuitive RESTful API. Seamless connectivity allows for quick adaptation to your existing workflows, enhancing your system’s capabilities without extensive modifications.
Flexible deployment
Make predictions either on the Edge (on premise) or in the Cloud, and easily switch between production and testing environments. This dual setup allows you to choose the deployment strategy that best suits your operational needs and security standards, promoting scalability and adaptability to meet the ever-changing demands of your business.
Continual Learning
ENAIA periodically learns from new data to improve the accuracy of its predictions. This adaptive approach ensures that the system stays up-to-date with the latest trends and information, enhancing its predictive capabilities over time. By integrating feedback loops, ENAIA dynamically adjusts its model to ensure more relevant and timely outcomes.
Active Learning
ENAIA may ask you to label difficult predictions found in production to focus on those examples that provide the most valuable insights. This feature significantly reduces labeling efforts and optimizes the AI training process by concentrating on the data that yields the greatest improvement.
Monitoring
Stay informed with immediate alerts regarding unusual patterns or deviations, allowing for swift identification and resolution of potential issues in the model’s behavior. This proactive monitoring capability ensures the reliability of your system, offering peace of mind and operational continuity.
Multimodal AI
Make powerful predictions by combining multiple sources of information such as images, documents, databases, or sensors. Multimodality empowers ENAIA to paint a more complete and detailed picture, uncovering insights that a unimodal AI might miss and ensuring a richer understanding of complex contexts.
Customized to your business
ENAIA learns from your own business logic to perform highly-specific tasks. Tailored to fit your unique requirements, ENAIA absorbs the nuances of your business to deliver highly accurate responses.
Data Privacy
Your data belongs solely to you. ENAIA will never use your data to train AI models for other customers. Our privacy policy is meticulously crafted to meet the utmost levels of data confidentiality, ensuring that your information is utilized solely for the purposes you agree to.
Easy to use
The web-based app makes it easy to interact with ENAIA and collaborate in the AI training and monitoring. Your teammates will be able to train and supervise the AI with a few clicks, without the need for AI knowledge. This feature ensures a user-friendly experience that maximizes efficiency and minimizes learning curves.
Easy to integrate
Plug ENAIA into your own system thanks to an intuitive RESTful API. Seamless connectivity allows for quick adaptation to your existing workflows, enhancing your system’s capabilities without extensive modifications.
Flexible deployment
Make predictions either on the Edge (on premise) or in the Cloud, and easily switch between production and testing environments. This dual setup allows you to choose the deployment strategy that best suits your operational needs and security standards, promoting scalability and adaptability to meet the ever-changing demands of your business.
Continual Learning
ENAIA periodically learns from new data to improve the accuracy of its predictions. This adaptive approach ensures that the system stays up-to-date with the latest trends and information, enhancing its predictive capabilities over time. By integrating feedback loops, ENAIA dynamically adjusts its model to ensure more relevant and timely outcomes.
Active Learning
ENAIA may ask you to label difficult predictions found in production to focus on those examples that provide the most valuable insights. This feature significantly reduces labeling efforts and optimizes the AI training process by concentrating on the data that yields the greatest improvement.
Monitoring
Stay informed with immediate alerts regarding unusual patterns or deviations, allowing for swift identification and resolution of potential issues in the model’s behavior. This proactive monitoring capability ensures the reliability of your system, offering peace of mind and operational continuity.
