Mission areas

Compute & Energy

Intelligence needs an operating foundation.

Illustrative documentary scene; see media credits

AI products depend on the relationship between energy, compute capacity, workload scheduling, and governance. These layers must work together without erasing local control.

Connect authorized capacity

Capacitas creates a civilization layer across federated multi-compute cluster resources. Its scope connects diverse compute substrates and facilities while respecting local ownership and security boundaries. Federation begins with authorization: which resources may participate, which workloads may run, and who retains control.

Govern execution

Compacitas supplies the verifiable governed runtime for models and agents. Scheduling and optimization are part of that runtime, alongside execution evidence. Multiplex focuses on usable GPU capacity, while the Grid supports authorized federation across facilities. The operational question is not just whether a workload finished, but where and under which policy.

Start with the energy requirement

Helio Array brings an advanced-energy perspective spanning nuclear, directed energy, solar, storage, and resilient infrastructure. Different mission environments have different power needs. Product planning must connect those physical constraints to the computational work the organization intends to perform.

Build a coherent foundation

Together, these companies frame the infrastructure conversation around governed capacity. AI Laboratories can shape product requirements with those constraints in view, so prototypes are not designed in isolation from the resources, ownership boundaries, and operating conditions they will eventually encounter.