Agentic AI that runs inside your perimeter
Put autonomous agents to work on your most sensitive workflows without shipping the data anywhere. We deploy inference, retrieval, and orchestration on your hardware — or a hybrid split you control to the byte.
- Data plane stays on your hardware
- Open-weight or licensed models
- Locked-down egress by default
- Audit-ready data-flow evidence
Three places agents can live
Same agents, same governance — the difference is where the data and the model weights physically sit.
Fully on-prem
Models, retrieval, and orchestration run on hardware in your data center. Nothing about a request ever leaves the building.
Hybrid split
Sensitive inference and data stay local; only a non-sensitive control plane reaches a managed layer you approve.
Air-gapped path
When regulation demands it, the same stack runs with no outbound connectivity at all.
Local retrieval
RAG over your documents with the vector store and embeddings hosted entirely on your side of the wire.
Controls & policy
Approval gates, role scoping, and risk thresholds enforced before any agent action touches a system.
Evidence & audits
Data-flow maps, egress proofs, and decision lineage your assessors can actually verify.
The data plane never crosses the line
The trap with most "enterprise AI" is that the clever part — the model, the embeddings, the retrieval — lives on someone else's infrastructure, and your documents go to it. We invert that. The data plane runs where your data already lives.
In a hybrid deployment, the only thing that can optionally leave is a thin control plane: anonymized telemetry, version pins, and health signals. Prompts, documents, embeddings, and outputs stay inside your network, and egress for the data path is denied at the firewall, not by policy alone.
- Inference & embeddings hosted locally
- Control plane is opt-in and data-free
- Egress denied at the network layer
- Per-tenant key management you hold
From your racks to running agents
A measured rollout that keeps your security team in the loop at every gate.
Map
We inventory your data classes, network zones, and compliance obligations, then draw the exact boundary the agents must respect.
Size
We benchmark candidate open-weight and licensed models against your workloads to right-size hardware — CPU, GPU, or hybrid burst.
Harden
We deploy into your environment, lock down egress, wire approval gates, and turn on full action logging and lineage.
Operate
We monitor cost, latency, and quality, expand the agent fleet, and keep evidence current for your auditors.
Managed SaaS AI vs. on-prem & hybrid
Why teams with regulated data choose to keep the model close.
| Managed SaaS AI | On-prem / hybrid with Automatic.co | |
|---|---|---|
| Where data lives | Vendor cloud | Your hardware or your VPC |
| Inference | Off your network | Inside your perimeter |
| Egress | Implicit and broad | Denied at the firewall by default |
| Model choice | Vendor's roster | Open-weight or licensed, your call |
| Audit evidence | Trust the SOC report | Your own logs and data-flow maps |
Frequently asked questions
What does "hybrid" actually mean here?
Sensitive data, retrieval, and inference stay on your hardware; only non-sensitive control-plane traffic — health checks, anonymized metrics, version metadata — can optionally reach a managed layer. You decide where the line sits, and the data plane never crosses it.
Do we need GPUs, or can agents run on existing servers?
Both work. Many internal workflows run well on quantized open-weight models on CPU or modest GPUs you already own. For heavier reasoning we right-size on-prem GPU nodes, and a hybrid pattern can burst non-sensitive work to a VPC you control.
How do you prove data never left our perimeter?
Network egress is locked down at deploy time, every agent action is logged with full lineage, and we provide architecture diagrams, data-flow maps, and audit-ready evidence your security and compliance teams can hand to assessors.
Can a hybrid deployment later become fully air-gapped?
Yes. We architect for that path from day one — the same agents, models, and retrieval stack run with the managed control plane removed, so tightening from hybrid to on-prem or air-gapped is a configuration change, not a rebuild.
Bring your perimeter. We'll bring the agents.
One working session to map your data boundary and the on-prem or hybrid architecture that respects it.