Intelligine is a private AI operating system that orchestrates 40+ frontier language models alongside your own private model, your proprietary data, your internal agents, and your existing tools, all governed by policy you write and deployed inside the network boundary your security team already controls.
Most large organizations have ended up with over a dozen disconnected AI tools, no consolidated audit trail, and no clarity over which data has left the firewall. Intelligine consolidates that estate into one governed system your tech leaders can defend in front of a regulator.
Each function inside a typical regulated enterprise has chosen its own artificial intelligence vendor over the last 24 months, and each of those vendors has trained on whatever proprietary content it could reach inside the customer perimeter, which means that operational data is now scattered across more than a dozen software-as-a-service logins, the underlying models answer to someone else's product roadmap rather than the customer's, and the chief information security officer typically cannot produce a defensible inventory of which information actually left the firewall during the previous fiscal quarter. Intelligine is the private artificial intelligence infrastructure layer that consolidates that fragmented estate into one governed operating system, in which a private model that the customer owns orchestrates every other model, every internal workflow, and every dataset under policy that the customer writes and audits.
Customers can adopt a single module, the entire suite, or any combination in any order, because the orchestration layer at the center of the platform remains constant regardless of which products are activated and in which sequence.
Intelligine Oasis is the private AI operating system that consolidates every software platform, every data source, every Slack message, every email, and every functional dataset under a single governed roof, and renders the entire organization queryable through the customer's own private model, fully single-tenant by architectural design and deployed locally or privately inside the customer environment.
Arena offers parallel queries against models such as Generative Pre-trained Transformer 4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, Llama 3.1, DeepSeek V3, and the customer private model, with each request routed under written policy and scored for response quality before delivery to the user.
Vault ingests proprietary content from sources including Microsoft SharePoint, Amazon Simple Storage Service, Atlassian Confluence, and customer-specific databases, and every answer is generated by a foundation model that has been trained from scratch on customer proprietary data, with the trained weights, the runtime, and the operating playbook formally handed to customer engineering staff on the 30th calendar day of the engagement.
The Query Modifier is the perimeter component that intercepts every outbound request to a public language model, rewrites identifying entities into semantically equivalent placeholders before the request leaves the customer environment, and re-binds the original entities locally on the inbound response so that downstream answers retain the specificity of the original question.
Redacted prompts strip away the context that public large language models depend on for accuracy, and the result is a noticeably worse answer. The Intelligine agentic Anonymizing proxy modifies the customer query in real time so that public models continue to receive enough semantic context to respond well, while private information stays inside the customer firewall throughout the entire request lifecycle.
The following example illustrates how the Query Modifier transforms a question that contains identifying customer specifics, internal memo references, exact currency amounts, and proprietary algorithm names into a semantically generalized rewrite that reads as natural English, preserves the analytical question being asked, and is safe to send to a public language model.
A live demonstrator against the customer's own queries is reserved for business contacts who are evaluating Intelligine for a customer engagement. Schedule a 30-minute discovery session with the architect team.
Book a time for platform access →The conventional alternative is an 18-month systems integrator engagement that ages out before it ever ships, and that is not a model that Intelligine operates under.
A 90-minute architecture call that produces a documented set of customer data sources, an agreed success metric for the engagement, a confirmed deployment target inside the customer environment, and the name of the architect who will run the build.
A working prototype operating against real customer data inside the customer technology stack, wired into customer single sign-on, and exposed to a controlled population of customer users during the 1st calendar week of the engagement.
A private model that has been fine-tuned on customer proprietary data, deployed inside the customer virtual private cloud, on-premises data center, or air-gapped environment, and formally handed over to the customer operations team along with documentation and runbooks.
Real names, real backgrounds. The team that lands inside your VPC for 30 days is the same team that scoped the engagement.
When the operations team is realistically using only a small percentage of the features inside a typical customer relationship management, electronic medical record, or revenue cycle management platform, Intelligine builds the specific subset of functionality that the customer actually needs directly on top of the customer's private model, with 2-week pilot programs that operate exclusively against customer data inside the customer environment.
Revenue-cycle agents that read customer charge masters, payer rules, and historical denials, built directly on the customer private model so that the small subset of features that operations actually uses is delivered without the surrounding software-as-a-service contract.
Trade surveillance copilots tuned to the specific products, desks, and suspicious transaction and order reports that the customer compliance function operates against, with citations bound back to the customer policy library rather than to a generic vendor knowledge base.
Sales and customer service workflows that read every artifact attached to a particular customer account rather than only the structured fields that fit inside a conventional customer relationship management record, with the underlying intelligence operating against the customer private model.
Intelligine deploys today across industries in which auditability, data sovereignty, and regulatory compliance are statutory obligations rather than discretionary purchasing criteria.
Intelligine supports 4 distinct deployment topologies under a single annual commercial agreement, and the commercial model is structured around heavy, medium, and light usage tiers that scale with actual consumption rather than with seat count.
Deployment into customer Amazon Web Services, Microsoft Azure, or Google Cloud Platform accounts in the geographical region that the customer specifies, using the customer infrastructure-as-code pipeline and the customer continuous integration and delivery tooling, with all encryption operating against customer-managed key management service keys.
Deployment into customer-owned hardware in the customer data center, with Intelligine providing the model runtime, the training stack, and the operator runbook, and with full support for disconnected software updates that arrive on signed media.
Deployment into sovereign and defense environments where every software update is reviewed by customer change control and physically delivered on signed installation media, and where the production environment requires no outbound network connectivity to external infrastructure.
Heavy enterprise users, lightweight occasional users, and edge field users all served by a single customer private model, with commercial pricing that scales with measured usage behavior rather than with the count of provisioned seats.
The Intelligine training pipeline operates exclusively on customer data, exclusively inside the customer environment, and exclusively for the customer private model that the engagement is producing, which means that there is no shared training corpus, no cross-tenant weight transfer, and no path through which one customer dataset can influence another customer model under any circumstances.
A customer that chooses to leave the platform retains full ownership of the trained model weights, retains the deployment runtime which is portable across container infrastructure, and retains the documented operating runbook, and the only commercial obligation that ceases at that point is the engineering retainer for the Intelligine team, because the absence of any technical lock-in is the explicit design intent of the entire product.
The patent-granted agentic anonymizing proxy at the perimeter, the query modification methodology that preserves answer quality, the contractual transfer of model intellectual property to the customer, and the fixed 30-day commitment to a production deployment are capabilities that an open-source orchestration framework alone cannot provide, and Intelligine packages all four of those capabilities into a single supported product.
A single named Intelligine architect runs the entire engagement from initial scoping through to production handover for the full 30-day duration of the build, and that named architect is the same individual who scoped the engagement during the pre-sales conversation, with no subcontractors and no offshored delivery layer in between.
A customer that operates exclusively on a hosted enterprise offering from a public model vendor does not own the underlying model weights, cannot inspect those weights for compliance purposes, has its prompts and responses retained by the vendor under varying terms, and indirectly contributes to the vendor product roadmap through usage patterns, and none of those properties are acceptable inside a regulated environment that is subject to external audit.
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.