MORE DATA, NEW CHALLENGES

We help you define the structure and specific objectives of YAIS, including responsibilities, functionalities, and custom tools to. Implement.
We work together to define the most suitable AI models for the development of YAIS that your business needs.

We configure a development and testing environment that replicates the production environment without interfering with your current operating systems. We use Docker containers to ensure consistency between development, testing, and production environments.
We implement CI/CD to automate testing and deployments, improving efficiency and reducing human errors.

We establish a series of defined questions for YAIS to execute an automated test, collecting the obtained responses. We implement a scoring and rating system.
We evaluate multiple models based on the same set of questions.

We deploy YAIS on your cloud infrastructure or the one that best suits your business needs, using managed services to ensure scalability and security. This includes the configuration of virtual networks, security groups, and necessary storage. We incorporate additional datasets and/or information from your company to expand YAIS's responsibilities and functionalities.

We implement monitoring and support mechanisms to ensure the continuous operation of YAIS.
We evaluate new versions of LLM models and potential technology upgrades to continuously improve the user experience.