Inflect Systems/On-prem & local SI
Run Super Intelligence (SI) agents entirely on your own hardware.
Nothing leaves the building unless you decide it does. I run local models on your machines, inside your network — airgap-ready, data-diode compatible, and governed for use near real equipment. Cloud is an option you turn on, not a dependency you inherit.
Local first, cloud only when you choose it
SI, super intelligence, is the new federal name for AI. Private SI is AI built for one plant: local, grounded in your prints and tags, never sent to a cloud. Most AI tools assume your data can leave. On a plant floor, in a regulated environment, or on a segmented OT network, that assumption is the dealbreaker. I build the other way around.
Your data stays on your floor
Local inference means prompts, code, drawings, and floor data never leave your network. A private / offline profile with no external egress covers anything that must never leave at all.
Provider spend stays near zero
The models run on your own machines — Qwen, Llama, DeepSeek and the like — so the work is not billed by the task. Anything that still has to call a paid API runs under a limit you set.
No vendor trap
Delivered with source, docs, and repeatable deploy steps your team can operate. No per-seat tax just to let the people doing the work see the work.
Built for networks that can't phone home
The security posture isn't a setting bolted on at the end — it's the shape of the system. These are the controls that make on-prem real.
Local models, served by you
Open-weight models run on your own GPUs or CPUs. The work stays in your building; no prompt, output, or file is sent to a third party to get an answer.
Private / offline profile
A no-external-egress profile means an agent can't reach the open internet at all — everything it needs is inside the perimeter you control.
Airgap-ready delivery
Ships as containers, tarballs, vendored assets, and local databases. If the target network has no internet, the system is designed to keep working anyway.
Data diode option
When an OT network must stay one-way, a unidirectional gateway lets telemetry, historian data, and logs leave through a physical one-way path while nothing flows back in.
Passive, read-only monitoring
Where it fits, watch the control network without touching it — a mirror/SPAN port or read-only tap means the monitor can't put a single packet on the wire the machines run on.
Restricted egress by default
Even when connectivity exists, locked agents pass through default-deny allowlists, so an agent can't quietly reach systems it doesn't need.
How data moves when it must stay inside
Read the floor, reason locally, put a person in the loop, and write back only through approved paths — all without the data leaving your perimeter.
PLC / sensor / old machine
Tags, alarms, counters, files, or serial output from the equipment you already run.Local collector / historian
Passive tap or read-only exporter turns raw changes into usable history — on your network.Local model
An on-prem model reads context, manuals, and live state. No data leaves the building to get an answer.Employee / manager
A person sees the explanation, the evidence trail, and the approval request before anything changes.SAP / MES / CMMS / report
Approved output lands where work already happens — through internal paths you control.Governed, not just isolated
On-prem is necessary but not sufficient. Even inside your walls, agents run commands and reach tools — so none of that is left to trust.
Isolated execution
Anything that runs unattended runs boxed in: dropped Linux capabilities, no new privileges, hard CPU, memory and process limits, and a read-only root where the work allows it.
Per-agent capped keys
Agents never hold master credentials. Each gets a budget-capped virtual key — pausable, rate-limited, and revoked when the session ends.
Curated tools, server-side secrets
Tools come from a controlled, pinned catalog launched by absolute path. Secrets are filled on the server and never returned to the browser or the agent.
Hardware-approved root
Agents never get root. Privileged host actions run only from vetted templates, only after a person approves with a physical security key — all of it audited.
Read-only near machines
Around real equipment, writes require an engineered path: simulation, review, approval, rollback, and a human who owns the change.
Your data never trains a model
On local models nothing leaves the building at all. Even against a hosted model, your data is never used for training and never phoned home to us.
Local when it must stay local
On-prem SI isn't about being anti-cloud. It's about control: knowing exactly where your data lives, what can reach it, and who approved the last action taken near a live machine.
I follow a failure across software, hardware, controls, and data, and I would not ship a system for a plant floor without that control baked in. If your environment has to stay inside the building, this is the version built for you.
Keep it in the building.
Bring the deployment constraints you are working under, and we will talk through what running this on your own hardware, inside your own network, actually takes.