Enterprise AI, built on organizational context.

Much operational work requires people to read documents, interpret rules, weigh trade-offs, and connect information across systems. Nodyn enables AI agents to take on these steps by grounding them in explicit organizational context—so work no longer depends on humans stitching everything together.

Software is built around workflows. Organizations are built around people, roles, responsibilities, and collaboration. Nodyn models your organizational reality, allowing agents to collaborate and orchestrate work across teams instead of being confined to a single workflow.

Organizations need to understand what their AI has done, and why. Nodyn records agent decisions and reasoning as structured context, making behavior explainable and creating reusable knowledge that improves automation over time.

Nodyn captures organizational knowledge in a shared organizational graph, that mimics how your organization works. A contextual, digital twin. Because dependencies are explicit, changes can be made once and consistently applied across teams, systems, and agents—without duplication or side effects.

Agents understand their purpose, constraints, and relationships within the organization. This allows them to act predictably, adapt when context changes, and signal when instructions no longer fit reality.

Organizational knowledge can be updated in natural language by the people who do the work. This removes the need for developers to adjust agents for every change and keeps AI behavior aligned with day-to-day operations.

AI actions must be accountable. Nodyn forces agents to follow explicit decision steps, explain their reasoning, and log outcomes. This makes behavior traceable, auditable, and explainable to regulators and stakeholders.

Organizational knowledge and sensitive data are shielded from LLM's. Nodyn keeps control over what is shared, what is abstracted, and what remains internal—reducing exposure to vendors, governments, and unintended reuse.

Different processes require different trade-offs. Nodyn is model-agnostic and supports multiple hosting options, allowing organizations to route each use case to the most appropriate model and environment. This avoids lock-in and makes the AI stack adaptable as technology, regulation, or geopolitics change.

Agents handle execution and decision-heavy steps. People provide oversight, direction, and context—creating clear roles and predictable collaboration.

Domain experts capture and refine knowledge directly. This keeps agents aligned with real practice and avoids loss through handovers or abstraction.

Teams can begin with a narrow scope and see value quickly. As agents are added and knowledge accumulates, the organizational network grows—making expansion easier and increasing the impact of each new addition.