Dapple builds and operates private AI clouds for regulated enterprise.
Most enterprise AI infrastructure was designed for scale first and adapted for compliance after the fact. Regulated organizations need GPU infrastructure they fully control, compliance enforced before workloads run, and operational accountability that matches the standards they are held to. The gap between what exists and what these organizations actually require is large and growing.
That is why we started Dapple.
We deliver dedicated, single-tenant GPU environments with built-in governance, deterministic scheduling, and full-stack operations, deployed across global data centers. Every environment is purpose-built for the organization running it. No shared tenancy. No ambient trust.
Our platform sits between enterprise cloud control planes and physical GPU infrastructure, governing workload placement, compliance enforcement, and operational monitoring as a single system. Cloud platforms define intent. Dapple enforces it.
We believe infrastructure for regulated enterprise has to be correct by construction, not correct by inspection. Governance is not a layer we bolt on. It is the foundation everything else is built around.
We serve organizations where correctness is not optional: financial services, healthcare, energy, defense, and government agencies operating under strict data residency and sovereignty requirements.
We are a small team building something big, and we are just getting started. More to share soon.
If you are interested in learning more, reach out at hello@dapple.co.