// Solutions & Architecture

Capability that never
costs you custody.

Four engineered capabilities form the CipherVertex stack. Each is designed around a single non-negotiable: your data, your reasoning, and your audit trail remain entirely inside your perimeter.

Core Capability · 01

Private LLM Engineering

We deploy fine-tuned, localized multi-billion-parameter models — calibrated directly against your industry-specific data repositories and running entirely within your on-premise dedicated AI compute.

The model learns your language, your precedents, and your processes. Your data never becomes someone else's training set, and the intelligence you build remains an asset you own outright.

  • Domain-tuned. Calibrated to your sector's terminology, document structures, and reasoning patterns.
  • Localized & self-contained. The model and every inference live inside your walls.
  • Your data is never a product. Nothing is retained, replayed, or fed into a shared public system.
  • Version-governed. Behavior is pinned, documented, and reproducible for audit and review.
Model locality · on-premise EGRESS · 0
Enterprise corpus
Your documents, in your facility
Private fine-tuning
Dedicated AI compute, single-tenant
Dedicated inference
Answers generated within your perimeter
Perimeter · no external endpoint
Core Capability · 02

Advanced Retrieval & Grounding

Our private pipelines transform sprawling document libraries and discovery files into structured, deterministic reasoning surfaces — so the AI answers from what your records actually say.

Every conclusion stays anchored to its source and traceable back to the originating file, engineered to resist hallucination while preserving precise, defensible provenance across massive corpora.

  • Deterministic grounding. Answers anchored to your documents, not a model's best guess.
  • Source-traceable. Every output carries provenance back to the exact originating file.
  • Hallucination-resistant by construction. Reasoning is constrained to what your corpus contains.
  • Built for scale. Designed for the largest, messiest real-world document libraries.
Grounded reasoning · traceable HALLUCINATION · ✕
Document libraries & discovery
Massive, unstructured PDF archives
Structured knowledge surface
Deterministic, query-ready relationships
Grounded, cited answer
Every claim traceable to its page
Provenance preserved end-to-end
Core Capability · 03

Identity-Aware Security

Our on-premise solutions honor your existing internal permissions and document-access controls. The AI sees exactly what a given user is cleared to see — and nothing more.

Role-based access becomes an incorruptible compliance guardrail that travels with every query, every retrieval, and every generated answer — enforced at the infrastructure layer, never left to prompt etiquette.

  • Respects existing roles. Inherits the permission structure your organization already governs.
  • Permission-aware retrieval. A user's clearance scopes what the AI can read and cite.
  • Incorruptible guardrail. Access is enforced by the platform, not by trust.
  • Complete audit trail. Every interaction is logged for defensible, bulletproof review.
Access control · identity-aware AUDIT · ON
Identity & roles
Inherited from your directory of record
Permission-scoped retrieval
Clearance gates every document read
Answer within clearance
Nothing surfaced beyond the user's rights
Enforced at the infrastructure layer
Operating Model

Fixed compute. Predictable leverage.
No token taxi.

We replace the variable economics of public cloud with a deliberate operating structure — dedicated appliance leases and fixed monthly MLOps optimization retainers. You hold the capacity; we keep it performing; finance gets a number it can actually plan around.

Public Cloud · variable

  • ✕Billed per token — your costs rise with every success.
  • ✕Unforecastable monthly spend that finance cannot pin down.
  • ✕Data leaves your custody to be processed elsewhere.
  • ✕Shared capacity alongside unknown tenants.
  • ✕Compliance posture inherited from a vendor's terms.

CipherVertex · fixed

  • ✓Fixed monthly compute — your budget is set in advance.
  • ✓Per-seat costs at parity with cloud AI subscriptions — 15–20%+ lower at scale. Size your fleet.
  • ✓Dedicated, single-tenant capacity that is yours alone.
  • ✓Data never leaves your perimeter to be processed.
  • ✓A compliance posture you own and can audit directly.
Engagement · 01 Dedicated Appliance Lease

On-premise dedicated AI compute, installed and operated entirely within your facility on a fixed term.

  • Single-tenant capacity, reserved for you
  • Turn-key delivery and commissioning
  • No external dependency to operate
// Fixed monthly · zero per-token billing
Engagement · 02 MLOps Optimization Retainer

Ongoing tuning, monitoring, and lifecycle management of your private models and grounding pipelines.

  • Continuous performance optimization
  • Model governance and version control
  • Proactive monitoring and assurance
// Fixed monthly retainer · fully predictable
Engagement · 03 Private Cloud Infrastructure

A single-tenant private cloud for organizations that need sovereignty with elastic headroom under their own control.

  • Sovereign, isolated environment
  • Scale headroom without public exposure
  • Full audit and access governance
// Fixed capacity · sovereign control

See the architecture mapped to your environment.

In a boardroom briefing we translate these capabilities into a concrete deployment blueprint for your firm — and model the fixed-compute economics against your current public-cloud spend.