AI assistants and workflows that run entirely on your own hardware or private cloud. Built for businesses that can't put sensitive data into public AI tools, and won't.
Every prompt you send to a public AI tool is a copy of your work leaving your walls, to a server you don't control, under terms you didn't write.
Contracts, case files, patient records, financials, source code, pasted into a public model, now sitting on someone else's infrastructure.
HIPAA, GDPR, attorney-client privilege, financial confidentiality. Most public AI tools were never built to honour them, and one leak ends the conversation.
Retention, training on your inputs, vendor access, sudden policy changes. With public AI, the terms can shift under you at any time.
We deploy private, on-premise AI assistants and workflows directly onto your own infrastructure, so the intelligence comes to your data, not the other way around.
A capable AI assistant for your team, drafting, research, summarisation, Q&A over your own documents, running fully inside your walls.
Automated review, intake, classification and document workflows wired into your existing systems, with nothing routed to a public API.
Deployed on your servers, your private cloud, or air-gapped hardware. The model and the data sit side by side, under your roof.
Same capability, different perimeter. Move up the ladder as your rules demand.
A dedicated environment inside your own cloud account. Single-tenant, your keys, your region. Fastest to stand up, and enough for most data-residency rules.
On your servers, behind your firewall. The model and your data sit side by side under your roof. Nothing crosses your perimeter.
No internet at all. For controlled, classified, or absolute-secrecy work. The system runs entirely disconnected, updated by hand on your schedule.
It runs on an open-weight model on your hardware, so there is no lock-in to any one AI vendor, and you can swap or upgrade the model without rebuilding. Your data never trains anyone's model but yours.
Not a science project. These are the systems we deploy inside your walls, each one built around a job your compliance team can sign off on.
Your matters, precedents, and filings, searchable and draftable by AI, with privilege preserved and nothing sent outside.
A private medical scribe that turns the visit into structured notes, with protected health information that never leaves the building.
Retrieval and drafting over controlled, sensitive documents, for defense suppliers and any business holding regulated data.
Ask questions, search, summarise, and draft across your own files and systems, with answers grounded in your documents, not the public internet.
Intake, classification, and review workflows wired into your existing systems, automating the busywork without exposing the data.
Ongoing cross-border AI governance and risk guidance, so your use of AI keeps clearing legal, compliance, and the board.
If your data is privileged, protected, controlled, or bound to a jurisdiction, the public cloud was never an option. This is.
A clear path from "we can't use public AI" to a private system your team uses every day.
We map your data, your compliance lines, and your hardware, then design the right private deployment for the way you actually work.
We stand up the AI on your own infrastructure, on-prem or private cloud, connected to your documents, locked behind your access controls.
We onboard your people, build the prompts and workflows that fit your practice, and hand you a system you own and run.
Sovereign isn't a setting we toggle, it's the architecture. The trade-offs that force others to choose between AI and confidentiality simply don't apply.
Your documents, prompts and outputs stay inside your network. No public API calls, no third-party logging, no surprise retention.
Nothing is used to train outside models. Nothing is sent to a vendor. Your work is yours.
The deployment lives on your hardware under your control. No lock-in to a platform that can change its terms on you.
Sovereignty is enforced by how the system is built. Here is exactly what that looks like, control by control.
Architected to support HIPAA, GDPR, and attorney-client-privilege obligations. Because the system runs inside your boundary, your existing controls and certifications extend to it, you are not asking us to be certified, you are extending the certifications you already hold.
The model and your data are co-located inside your boundary. The public internet stays on the other side of the line, by design.
Begin with the Sovereignty Assessment, fully credited toward your deployment if you proceed. The plan is yours to keep, and yours to act on with anyone.
Confidentiality rules, client consent requirements, and the very public risk of AI-invented citations mean most firms simply cannot put matter files into public AI tools. So we built the version that never leaves the firm.
Ask about your own files, precedents, and policies and get answers grounded in the firm's documents, each one citing the source file it came from. Not the model's memory, your records.
Ask it about a case that doesn't exist in your records and it says exactly that: "I don't find that in the firm's records." No fabricated citations, no invented holdings, by design.
The whole system, models, documents, and questions, runs inside the firm's own boundary. Nothing leaves the building, so privilege and confidentiality stay exactly where they belong.
We run this system ourselves and demo it live on our own hardware, using a fictional firm's files. Watch it cite real sources and refuse a fake case before you trust it with yours.
The honest answers, the same ones we'll put in front of your CISO and your auditors.
On infrastructure you control, your own servers on-premise, your private cloud tenant (AWS, Azure or GCP), or air-gapped hardware. The model is co-located with your data inside your boundary. There is no public endpoint in the path.
No. The system runs inside your environment, behind your access controls. Your documents, prompts and outputs stay on your infrastructure. We don't operate a shared service that your data passes through, so there is nothing for us to see and nothing for us to retain.
Nothing changes, because the data was never ours to hold. The deployment lives on your hardware and the data stays where it always was, inside your boundary. There is no vendor copy to delete and no account to wind down.
Yes. For the most sensitive environments we deploy fully air-gapped, no inbound or outbound internet path at all. Updates in that mode are delivered through your own controlled, offline process rather than over the network.
It depends on the models and workloads you choose. We size this precisely during the Sovereignty Assessment, from a single GPU server for a focused assistant up to a small cluster for heavier, organization-wide use. We'll fit the deployment to hardware you have or specify exactly what to buy.
Updates apply to the model and software layer, not your data. New model versions and improvements are deployed into your environment under your change control, your data is never moved, copied or exposed to do it. In air-gapped deployments, updates are staged through your offline process.
Every sovereign deployment is scoped to your data, hardware and compliance needs. These are the typical starting points.
A fixed-scope study: data map, compliance review, hardware fit and a deployment plan you can act on with anyone. Fully credited toward your build.
Best when you need certainty before you commit. Most engagements start here.
A private AI assistant and core workflows deployed on your infrastructure, with team training and handover.
One-time build on your hardware or private cloud. You own the result.
Ongoing operation, tuning, new workflows and on-call support, while everything stays inside your walls.
For teams who want the system run for them, privately, at scale.
For mid-market and enterprise teams that cannot ship AI on a public endpoint, Sovereign scales into a fully governed program: private deployment, the controls your auditors expect, and an engagement run alongside your own people.
Most of the work is control: deployment boundaries, encryption, access, retention, and the evidence to prove it. We architect for the auditors, not around them.
We work alongside your technical and compliance teams, build on your infrastructure, and hand over a system your people can run and govern.
Risk map, controlled build, and an operated system with the monitoring and documentation your CISO, board, and regulators sign off on.
Deployments are designed to sit inside your own controls for HIPAA, PHIPA, GLBA, CMMC 2.0, Quebec Law 25 and GDPR. Your auditors audit your deployment; we do not claim a certification on your behalf. For regulated clients we sign the right paper before any data is touched: a HIPAA Business Associate Agreement or Ontario PHIPA agreement for healthcare, GLBA service-provider terms for finance, and our data processing agreement, signed on request, for every engagement. Export-controlled (ITAR/EAR) work is scoped case by case with counsel.
Enterprise engagements begin with a fixed-fee Governance & Risk Assessment, under NDA.
One call. We'll show you exactly how private AI runs on your own ground, and what it takes to deploy it. Your data never leaves the building.