Security limits AI
Cloud-only LLMs require sending sensitive data outside secure environments.
Unstable cloud cost
Metered cloud inference makes costs unpredictable and difficult to control.
Integration Challenges
Existing on-prem systems don’t mesh well with cloud-native AI platforms.
Limited Control
Cloud APIs restrict how enterprises can tailor and observe model behavior.
01
On-prem AI compute (LLMs, RAG, workflows)
02
Cloud-based identity, monitoring, and coordination
03
Zero-trust private networking via Headscale
04
Secure multi-tenant governance
05
Pre-packaged, domain-ready model
1
Tenant Zone
User portal and enterprise integrations within your existing infrastructure
2
Cloud Control Plane
Identity, RBAC, and orchestration without accessing your data
3
On Prem AI Zone
LLM hosting, RAG engine, and workflow execution on your hardware
Used in regulated sectors
Trusted by organizations in finance, healthcare, and government for secure AI deployment
Built on open standards
Leverage open-source models, Kubernetes, and standard protocols without vendor lock-in
CIO, CTO, and CISO priorities
Addresses security, compliance, cost control, and integration from the ground up