The Intelligine platform

A private artificial intelligence operating system, deployed end to end inside the customer environment.

The Intelligine platform orchestrates models, proprietary data, internal agents, internal tooling, persistent memory, and governance policy under a single control plane that operates inside the customer cloud, on-premises data center, or air-gapped environment.

40+
Public language models orchestrated through one anonymizing endpoint
72h
Elapsed time to a working minimum viable product
30d
Elapsed time to production deployment inside the customer environment
100%
Customer ownership of underlying data and trained model intellectual property
Layered architecture

6 engineered layers operating inside one customer-defined network boundary.

Every Intelligine component is deployed inside the customer virtual private cloud, customer private cloud, or customer on-premises data center, customer data never crosses the perimeter, and any request that does require a public model is anonymized at the egress layer before it leaves the customer environment.

  • Ingress layer: single sign-on, model context protocol, representational state transfer, and customer internal tooling
  • Orchestration layer: routing across more than 40 public large language models alongside the customer private model
  • Memory layer: persistent, tenant-scoped, encrypted storage spanning agents and sessions
  • Governance layer: written policy, sensitive entity redaction, and a complete audit trail
  • Model core: the customer private model fine-tuned on customer proprietary data
  • Egress layer: anonymizing agentic proxy that modifies outbound queries on a per-request basis
Egress gateway · anonymizedL6
Orchestration · routingL5
Governance · audit & policyL4
Memory · encrypted · tenant-scopedL3
Your Private Model · ownedL2
Ingress · SSO · MCP · toolsL1
Capabilities of the platform

Every capability that the regulated organization requires, under written governance policy.

/01

Multi-model orchestration

Routing across Generative Pre-trained Transformer 4, Claude, Gemini, Llama, Mistral, DeepSeek, and the customer private model, with per-request decisions taken on the basis of cost, latency, and faithfulness.

/02

Persistent memory layer

Encrypted, tenant-scoped contextual memory that survives across sessions, across users, and across long-running agents.

/03

Agent framework

Long-running autonomous agents that operate against tool access bound by customer policy, with full traceability throughout the agent lifecycle.

/04

Retrieval-augmented generation

Ingest of proprietary documents, customer databases, and customer application programming interfaces, made queryable in seconds with citation-bound responses.

/05

Governance and entity redaction

Prompt-level redaction of personally identifying information, role-based access control, and organization-wide safety rules enforced at runtime.

/06

Complete audit trail

Every token, every request, and every routing decision is logged, exportable, and ready for review by an internal regulator or external supervisor.

Ready to build against the customer’s own private artificial intelligence?

A direct conversation with an Intelligine architect produces a documented scope for a 72 hour minimum viable product and a 30-day path to production inside the customer environment, with no sales development outreach and no extended discovery phase.