VOLV

VOLV is an enterprise AI platform designed to run entirely within a customer’s own infrastructure. It focuses on safety, governance, and control, aiming to prevent data from leaving the building while offering frontier-grade AI capabilities. The tool targets institutions that require strict data and operational controls, such as banks, healthcare providers, and government bodies. The approach emphasizes running models and agents locally with governance enforced at every step.

The system architecture centers on three layers: models, governance, and agents. The models are owned by VOLV and are intended to operate on the client’s hardware. Governance ensures data stays in and actions are verified against live systems. Agents execute business operations across various departments under the client’s rules.

The main capabilities include owning the full stack (models, governance, agents) and providing frontier-grade performance with data remaining within client controls. It supports operations from customer-facing tasks to back-office processes, all aligned with compliance needs. The platform stresses scalability, efficiency, and local deployment to meet regulatory requirements.

VOLV outlines plans to deploy inside clients' environments and offers hybrid options for sensitive data. It emphasizes sovereignty, in-country data retention, and the possibility to run the rest of the stack where it fits on the timeline.

Use cases

• Regulated enterprises such as banks, healthcare, and fintech use VOLV to run AI with data staying on premises