Sensitive IP
Proprietary designs, formulas, research, or process knowledge that can't be exposed to external model providers.
For organizations with sensitive IP, regulated data, or strict security requirements — AI Deployed builds AI workflows that run entirely on your infrastructure, with no data ever leaving your perimeter.
For many of the organizations we work with, sending operational data to a third-party AI provider isn't an option. The IP is too sensitive. The regulations are too strict. The contracts are too explicit.
Sovereign AI flips the model. Instead of your data going to the AI, the AI comes to your data — running on hardware you control, behind your firewall, on a network you trust. No outbound API calls. No third-party model providers. No vendor lock-in on a frontier lab's roadmap.
If any of these describe your environment, sovereign deployment is the right starting point.
Proprietary designs, formulas, research, or process knowledge that can't be exposed to external model providers.
HIPAA, ITAR, CUI, CJIS, FedRAMP-bound, or other regulated information that can't leave specific environments.
Operational environments — manufacturing floors, secure facilities, classified networks — with no external connectivity by design.
Jurisdictional requirements that data — and the systems that process it — remain within specific national or regional boundaries.
Avoid dependence on a single frontier-lab roadmap, pricing model, or terms of service. Own the stack end to end.
Full visibility into what the AI sees, what it produces, and how it makes decisions — with logs you control.
We use modern open-weight models — Llama, Mistral, Qwen, DeepSeek, and others — running on hardware sized for your workload, behind your firewall, with your access controls.
Run models on your own servers — bare metal or virtualized — inside your existing data center or facility.
Deploy in your VPC on AWS, Azure, GCP, or Oracle — fully isolated, no shared inference endpoints, no third-party model providers in the path.
For environments with no external connectivity — secure facilities, classified networks, remote sites, manufacturing floors.
Workflow agents that run inside your environment — reading from your systems, writing to your tools, never reaching outside.
Sensitive workloads stay local; non-sensitive ones can use cloud frontier models. You set the policy, we wire the routing.
Adapt open-weight models to your domain, terminology, and workflows — without sending any of that data to a third party.
Every sovereign deployment is shaped by your security posture, hardware reality, and the workflows you need to automate.
Map your data classifications, network boundaries, and the workflows you want to automate first.
Select open-weight models matched to your workloads. Size hardware. Define the inference and storage architecture.
Stand up models and agents inside your environment. Wire them into your existing systems with your IAM and audit logging.
Fine-tune on your domain. Monitor performance, accuracy, and usage. Expand to additional workflows over time.
Classified networks, ITAR, CUI, IL5/IL6 environments.
PHI, clinical research data, proprietary trial information.
Process IP, formulations, designs, OT/SCADA environments.
PII, trading strategies, regulated workflows, audit obligations.
Critical infrastructure, NERC CIP, operational technology networks.
Pre-publication data, export-controlled research, classified work.
Privileged information, client confidentiality, regulatory matters.
State, local, and federal agencies with strict data residency rules.