Domyn Platform

Domyn Platform is the central layer of the Domyn architecture: a modular platform designed to create, orchestrate, and govern proprietary AI agents within regulated and high-responsibility environments.

At its cognitive core are language models with advanced reasoning capabilities, including Domyn’s proprietary models—such as Domyn Small and Domyn Large—as well as third-party models that can be natively integrated into the architecture. The entire system is engineered for interoperability, enabling seamless interaction and collaboration with external intelligent agents in multi-LLM and multi-agent environments.

Enterprise-Grade Infrastructure and Full Integration

Surrounding this cognitive core is an enterprise-grade software ecosystem that includes a permission management system tailored to visibility requirements in regulated settings, an advanced auditing framework to monitor and govern all interactions, and a certified integration engine for secure connection to both structured and unstructured data sources—as well as legacy systems within the organization’s IT infrastructure. Domyn Agent is accessible through a dedicated application designed for business users, or it can be integrated into existing systems via API—adapting flexibly to any IT environment. Each instance of Domyn Agent is containerized and deployed exclusively within the organization’s private infrastructure—on-premises or on private cloud—to ensure complete isolation, data protection, and full technological sovereignty.

Contextual Intelligence for High-Responsibility Environments

At the center of its semantic architecture operates a proprietary Business Knowledge Graph, which connects and interprets enterprise data, dynamically shaping contextual understanding and continuously refining itself through interaction. Unlike general-purpose systems, Domyn Agent is built to understand, act, and decide within high-responsibility environments—adapting to industry-specific language, complying with operational processes, and supporting complex decisions with transparency, auditability, and precision.