Turn-Key Air-Gapped Supercomputing
A complete on-premise dedicated AI compute environment, delivered ready to operate. Zero data leaves the firm's physical walls — there is no external endpoint to leak, intercept, or subpoena.
// Private AI Infrastructure · Canada
Private generative AI,
Private generative AI,
sealed inside your perimeter.
CipherVertex is the definitive partner for on-premise dedicated AI compute. We design, deploy, and operate private LLM infrastructure for Canada's most regulated enterprises — air-gapped by architecture, billed as fixed compute, never as variable public-cloud tokens.
Zero data egress
Fixed compute economics
PIPEDA-aligned by design
01 — The Executive Challenge
Public LLMs externalize your risk.
Every prompt sent to a public model is a data-handling decision made outside your governance. For regulated enterprises, three frictions compound quietly until they reach the boardroom.
01
Variable token economics
Public AI bills scale with usage, not with budget. A successful pilot quietly becomes an unbounded operating line item, and finance loses the ability to forecast the cost of its own productivity.
02
Data egress & confidentiality exposure
Privileged files, patient records, and proprietary IP leave your custody the moment they reach a third-party endpoint. What is convenient for a knowledge worker is a reportable event for a privacy officer.
03
Sovereignty & PIPEDA exposure
A "Canadian region" is not Canadian custody. Foreign subprocessors, cross-border processing, and external legal reach quietly erode the compliance posture your counsel signed off on.
02 — The Vault Method
A different architecture, by design.
We do not route your data to safer cloud. We remove the route entirely. The Vault Method delivers production-grade generative AI that lives, reasons, and is audited entirely within your own walls.
Multi-Agent Deterministic Workflows
Surgical AI systems engineered to reason over complex enterprise documents with repeatable, defensible outputs — built for matters where "approximately correct" is not an acceptable answer.
Fixed-Cost Compute Models
Dedicated infrastructure on a predictable schedule — per-seat economics at parity with enterprise cloud AI subscriptions, and 15–20%+ lower at scale. Your AI budget becomes a fixed CAD line, not a moving target.
100%
On-premise data residency
20%+
Lower 3-year cost at scale vs cloud AI seats
0
Data egress events
100%
Auditable inference
Figures are modelled across reference deployments at sustained enterprise workloads; the methodology — and your custom numbers — are shared in your briefing. Size your fleet scenario below.
03 — Built for regulated sectors
Where the cost of a leak is measured in careers.
CipherVertex is purpose-built for environments where data simply cannot leave the building — and where a single confidentiality failure is existential, not inconvenient.
Reason over discovery, contracts, and privileged files without a single byte crossing the firm's threshold or waiving privilege.
Privilege preservedPut clinical and operational AI to work over patient records inside the institution, aligned with HIPAA and PIPEDA custody requirements.
PHI never leavesProtect process IP, specifications, and operational data while deploying AI across complex technical document libraries on the plant floor.
IP stays proprietaryClient identities are withheld by design. For the enterprises we serve, confidentiality is not a feature of the engagement — it is the product. We provide references and audited proof points under NDA during a boardroom briefing.
04 — Infrastructure & Fleet Sizing
Size your sovereign fleet.
Size your sovereign fleet.
Lock in your perimeter.
Set the dials to your organization. The engine models the sovereign Vault fleet topology required to sustain your enterprise workload inside your perimeter. Detailed pricing, hardware specifications, and firm 3-year TCO models are confidential corporate IP and provided exclusively under mutual NDA during your boardroom briefing.
recommended_fleet—
cluster_topology—
power_architecture—
data_custody100% ON-PREMISE · SEALED
billing_structureFIXED COMPUTE · ZERO PER-TOKEN
Adjust the dials to model your environment.
Fleet topologies are modelled to your organization's concurrency, document volume, and compliance tier. To protect client confidentiality and proprietary hardware engineering, detailed financial proposals, hardware specifications, and comparative TCO models are treated as strictly confidential and delivered exclusively under mutual NDA during a private boardroom briefing.
05 — Questions counsel asks
Answered before the meeting.
The questions every CISO, GC, and CFO raises in the first briefing — answered plainly here, in depth in the room.
Can frontier-class AI really run entirely on-premise?
Yes. Modern open-weight model families deliver frontier-class reasoning when engineered, fine-tuned, and grounded for a specific domain. We size the model and the dedicated compute to your actual workload, so capability is matched to your documents and your throughput — not to a public benchmark.
What does a typical deployment timeline look like?
Most environments go from boardroom briefing to production inference in 8–12 weeks: exposure mapping and workload modelling first, then hardware delivery and commissioning, then model engineering, retrieval grounding, and identity integration inside your perimeter.
How does this align with PIPEDA and solicitor–client privilege?
Because no prompt, document, or inference ever crosses your physical threshold, there is no third-party disclosure to analyze, no foreign subprocessor, and no cross-border transfer. Custody remains undivided — the cleanest possible posture under PIPEDA and the strongest available protection for privileged material.
What happens to our data and our usage telemetry?
Nothing leaves. The deployment is air-gapped by architecture: no external endpoints, no phone-home telemetry, no vendor analytics. Every inference is logged to your own immutable audit trail, readable by your compliance team and no one else.
What does it cost compared to public-cloud AI?
Pricing is structured as fixed compute — never variable per-token bills. Because enterprise environments require tailored capacity, security zoning, and deployment engineering, exact commercials, hardware pass-throughs, and 3-year TCO projections are presented exclusively under mutual NDA during a boardroom briefing. Request a briefing to begin the conversation.
Do you support hybrid postures, or is it all-or-nothing?
Hybrid is a first-class posture: a sovereign on-premise core for regulated, privileged, or proprietary work, with controlled public edges for low-sensitivity tasks. Many engagements start hybrid and consolidate inward as usage grows.
Bring AI inside the perimeter
Your data is your most regulated asset.
Your data is your most regulated asset.
Your AI should respect that.
Book a confidential boardroom briefing. We will map your current public-cloud exposure, model your fixed-compute TCO, and show you what sovereign AI looks like inside your own walls.