ISODS has been implementing an Agentic AI platform built on a privacy-centric architecture based on R&D work in the past two years. This system utilizes multiple collaborative AI agents on office tasks while ensuring that data remains within its original environment. This initiative is supported by scientific research published by our professors, experts, and students.
Unlike traditional AI models that depend on external AI models on cloud, the platform is designed to operate entirely on-premises or within an organization’s private, secure infrastructure. This architecture is specifically engineered for any organization or sector managing highly sensitive information that requires advanced AI capabilities without the risk of external data exposure, especially in healthcare, law, finance, insurance, and government.
The core of the system consists of specialized AI agents that coordinate to solve complex tasks. These agents function as a cohesive expert team, providing deep technical analysis while maintaining absolute data isolation.
In the modern knowledge economy, information is a critical asset. Information asymmetry creates distinct competitive advantages, and we recognize the legitimate necessity for users to protect personal and client data from third-party exploitation.
We maintain that processing data directly on a user’s device is essential for:
-
Strengthening individual and corporate trust.
-
Mitigating the risks of data leaks.
-
Protecting information security effectively in an era of high data sensitivity.
The ability to process sensitive data locally, without exposure to external environments, represents a significant shift for industries that have historically faced barriers to AI adoption. We believe our Agentic AI platform provides a necessary solution for organizations requiring advanced intelligence without compromising security.