Dropp Cortex deploys AI on infrastructure you control, for organizations that can't send their data to a third-party model API.
Plan Your AI TransformationSending sensitive data to a public AI API isn't an option for every organization — regulated industries, government-adjacent work, and companies with strict data residency requirements need AI that runs on infrastructure they control, not a vendor's cloud. Private and sovereign AI means deploying language models and AI systems on your own infrastructure or a dedicated private environment, so your data never leaves your control. We handle the deployment, the infrastructure it runs on, and the integration into your existing systems — the same engineers who understand your infrastructure also understand the AI layered on top of it.
Part of Dropp Cortex — Visit droppcortex.ai
Understand the data residency, compliance, and control requirements that apply.
Choose and, if needed, fine-tune a model suited to the task and infrastructure.
Stand up the model on your infrastructure or a dedicated private environment.
Connect it to the systems it needs to work with.
Maintain and support the deployment on an ongoing basis.
Yes — that's the entire premise of private and sovereign AI, and it's a hard requirement we design around, not a best-effort goal.
We select and, where useful, fine-tune open models suited to the task — the right choice depends on what the deployment actually needs to do.
The infrastructure cost is real, but for organizations that can't use a public API at all, it's the only option — not a cost comparison against an alternative that isn't available to them.
Yes — ongoing operation and support is part of the engagement, not a one-time deployment.