Deploy private AI · Signature
Your own LLM. Your data. Your perimeter.
We deploy capable open-weight models on your own infrastructure — on-prem or private VPC — with the vector stores, orchestration, access control, and monitoring that make them an enterprise platform, not an experiment.
The problem
Sound familiar?
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Your data and documents are too sensitive for public AI APIs.
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Per-token pricing makes scaled usage unpredictable and expensive.
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Regulators and customers demand data residency and auditability.
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Vendor lock-in is a board-level concern.
What we deliver
Why private AI
Public AI APIs send your data outside your control. For regulated and IP-sensitive enterprises, that is a non-starter. Private AI gives you modern capability without surrendering data, sovereignty, or auditability.
Data never leaves
Models, prompts, and outputs stay on your infrastructure — on-prem or private VPC. Air-gapped deployments available.
Compliance-aligned
Architected for HIPAA, GDPR, and sector rules, with full audit trails of every interaction.
No per-token lock-in
Predictable cost at scale, lower latency, and freedom to swap models as the open-weight frontier advances.
Full control
You own the models, updates, access policies, and retention. Role-based access to every capability.
What we deliver
Our private-AI architecture
Everything inside your boundary: model serving, vector store, orchestration, RBAC, and monitoring — engineered as one platform.
Model serving
Open-weight LLMs (Llama-class, Mistral-class, Qwen-class and successors) tuned and served for your workloads.
Retrieval & knowledge
Private vector stores and RAG pipelines over your documents, wikis, and systems of record.
Access & audit
Role-based access control, PII handling, and complete audit logging for every query and action.
Operations
Monitoring, evaluation, and model lifecycle management — run by us or handed to your team.
What we deliver
Deployment options
On-premise
Your data center, your hardware, your rules. Suited to government and the most regulated workloads.
Private cloud (VPC)
Dedicated, isolated cloud deployment with your keys and your network controls.
Hybrid
Sensitive workloads stay inside; commodity workloads burst out. One governance layer over both.
Air-gapped
Fully disconnected deployments for sovereign and classified environments.
Design your private AI stack.
Tell us where it hurts. We’ll come back with a concrete approach, a realistic timeline, and the proof points to back it.