Sandlake builds and operates dedicated, single-tenant GPU infrastructure so enterprises can self-host inference and fine-tune their own models, without sending proprietary data to a public model provider.
Enterprises sitting on the most sensitive data and internal know-how are usually the first to be blocked from using public AI tools because of it. Sandlake's answer is infrastructure, not a policy exception: dedicated, isolated hardware where the data never has to leave in the first place.
Single-tenant hardware on every deployment, not a shared endpoint with a privacy policy attached.
We operate colocated infrastructure at scale so dedicated, single-tenant pods are affordable for a single workload, not just a whole enterprise.
Fine-tuning data is never reused, shared, or used to improve a public model.
Screening and regional scoping built into onboarding from day one, not retrofitted.
Sandlake is in active conversations with prospective enterprise customers and GPU and colocation suppliers across North America and the EU. We're building the team, the entity structure, and the first dedicated deployments in parallel.