Dropp Cortex deploys private models, governed agents, secure knowledge systems, and AI operations inside your cloud or data center — so your data stays yours and AI delivers measurable operational outcomes.
Sovereign AI infrastructure is only useful when it becomes part of real business operations. Cortex connects private AI infrastructure to governed agents, workflows, knowledge, monitoring, and measurable outcomes.
“Sovereign AI” means more than where a model runs. We design for control at every layer.
Your documents, prompts, and outputs stay inside the boundary you define — and never train a shared or third-party model.
Open-source or custom models you can inspect, fine-tune, version, and replace — with no dependency on a single external vendor.
Runs in your cloud account, your data center, or an air-gapped environment — the infrastructure boundary is yours to define.
Your team can operate, audit, and extend the platform after handover — not locked into an ongoing black-box dependency.
Sovereign AI is the right track when data control, auditability, or jurisdiction are non-negotiable.
Business and regulatory constraints we design around from day one.
A layered platform, not a single model endpoint — each layer deployed inside your boundary.
Document ingestion, secure vector storage, and retrieval — indexed inside your environment.
Private LLM serving and fine-tuning, with version control over every deployed model.
Governed agents that take permissioned actions against your systems, with defined guardrails.
Logging, evaluation, access control, and audit trails across every request.
Deployed as a set of services inside your infrastructure — not a call to an external black box.
The right boundary depends on your constraints, not a one-size-fits-all pitch. Each model has its own data flow — never a mix of “fully on-premise” and “calls an external API.”
The same platform capabilities, wherever your boundary is drawn.
Deploy and fine-tune open-source or custom models, with full version control and no shared multi-tenant inference.
Enterprise search and retrieval over your own documents, fully isolated from public networks when required.
Agents that act on your systems within explicit permissions, approval steps, and audit logging — not open-ended autonomy.
Inference scaling, memory management, and model monitoring, built on Dropp Technologies' infrastructure experience.
Role-based access, SSO integration, and full request-level audit trails across models and agents.
Ongoing evaluation of model outputs, drift detection, and logging built for compliance and quality review.
Every engagement includes documentation and hands-on knowledge transfer to your team — so the platform stays operable, auditable, and extensible without an ongoing dependency on Cortex.
A staged path that proves value before you commit to full-scale deployment.
We define the boundary, the data flow, and the success criteria for a limited pilot.
Week 1–2A working deployment against a real use case, inside your chosen boundary.
Weeks 3–8Hardening, access controls, and monitoring for full operational use.
Weeks 9–14Ongoing support, or full knowledge transfer to your internal team.
OngoingIt means data, model, deployment, and operational control all stay inside a boundary you define — not just where a server happens to sit.
Yes. In an air-gapped deployment, there is no network path to the public internet at any point — updates are delivered through a controlled offline process.
No. We most commonly deploy open-source models for full control and inspectability, but the architecture also supports licensed or custom models where that fits your requirements.
Most pilots are scoped for 6–8 weeks against a single, well-defined use case, so you can evaluate real results before committing to production.
Data flow is defined explicitly for your chosen deployment model before work starts — see the deployment models above for exactly what does and doesn't leave your boundary.
You own the deployed models, data, and infrastructure. Documentation and knowledge transfer are part of every engagement so your team can operate independently.