AI Twin is an evolution of a digital twin. While a digital twin uses real-time data to simulate, monitor, and analyse performance, an AI twin adds intelligence to every step of the value chain. It not only simulates but also predicts and optimises processes, making decisions autonomously. This enables faster response times, continuous improvement, and more efficient operations across the business.

There are several approaches to integrating data into the solution. Typically, we read directly from a storage bucket owned either by our client or by jahan.ai, with client access to the bucket. We can also connect directly to client data sources, with support for Fabric, Snowflake, Databricks, BigQuery, Oracle, SAP, Microsoft Dynamics, and more. Additionally, we can access an SFTP server if required by the client. We offer a comprehensive list of integration patterns, and the exact approach can be determined based on the customer’s specific requirements.

Our product includes full support for Single Sign-On (SSO) from a list of identity providers, including Microsoft Entra ID. This enables streamlined and secure access management across the organization, allowing users to log in once and gain access to all integrated systems without the need for multiple logins.

Whenever we transit with data inside our platform, we use TLS1.3. All data in our databases are encrypted using AES256 as provided by default by google. The key used for the encryption is also encrypted using encryption keys. 

We support batch, on-demand, real-time integrations. The exact way of integration will be established based on the customer’s specific requirements and needs.