Business Model

DevAgents OS adapts to your team's reality, regardless of technical maturity or security requirements. We operate in three formats so every organization can find the model that best fits their context.

Managed Service

DevAgents OS operates the agents for you. We select models, providers, and integrations suited to the contracted scope. Your team focuses on the product while agents work under our operation and governance.

This format is designed for teams that want to capture value quickly without investing in AI infrastructure or internal training to operate agents. DevAgents OS handles model selection, agent provisioning, and the governance layer, delivering measurable results from the first cycle.

On-Premises License

The platform is deployed in your own infrastructure, with validation and integration with the models and tools defined by your team. Ideal for companies with compliance, data security, or regulatory restrictions that prevent the use of external services.

In this format, your team operates the platform internally with full control over data, models, and integrations. DevAgents OS provides the license, deployment documentation, and technical support to ensure the platform is operational and integrated with your existing stack.

Hybrid Model

Combines managed service, licensing, support, updates, and governance according to technical maturity and security requirements. The transition between formats happens as your team evolves.

This format recognizes that most organizations don't start and end in the same place. A team can begin with the managed model to validate impact, migrate to on-premises as they internalize operations, and keep the managed service for workflows where complexity justifies delegation. The hybrid model enables this evolution without switching platforms.

How an engagement starts

The process begins with an assessment of your current engineering flow: where the team loses time, where rework occurs, where decisions get lost, where quality breaks down, where security arrives too late, and where metrics fail to explain what is happening.

Based on that diagnosis, we define the most suitable operating format, map the first workflow, activate the agents, connect them to your stack, and measure impact before expanding.