My AICORTEX (1)

Sovereign AI operating platform

Stop renting intelligence.Start owning it.

AICORTEX unifies your models, data, memory, agents and controls in one private AI operating platform, deployed where you choose and governed by you.

  • Private by design
  • Modular architecture
  • Your infrastructure

Built for the people accountable when AI reaches production.

AICORTEX turns architectural control into something each responsible owner can inspect, approve, and operate.

  • Data sovereignty
  • Private cloud and on-premises
  • Auditable infrastructure code
  • FedRAMP-aligned deployment patterns
  • Security leaders

    Know where requests, data, credentials, and tools cross a boundary.

  • Platform owners

    Replace models and services without rebuilding the system around them.

  • Business operators

    Receive a sized deployment with acceptance criteria and operating visibility.

Architecture before procurement.Every build resolves its dependencies, infrastructure envelope, acceptance criteria, and operating path before handoff.
Build My AICORTEX Explore the platform
Enter the workshop

You do not need to reject cloud AI to own your intelligence.

Ownership means you control the architecture around the model: where data is stored, which model gets a request, which tools the agent can call, which actions need approval, what gets logged, how long memory persists and what can be replaced later.

  • Choose where data and memory live
  • Change models without rebuilding the platform
  • Keep tools, approvals, and observability under your control

Models are one part of the operating system.

Every layer can evolve independently while remaining anchored to the same core, policy boundary, and deployment model.

Intelligence

Route local and cloud models through one governed AI gateway. Change providers as quality, cost, privacy or availability changes.

2 blueprints

Knowledge

Turn documents, databases, embeddings and graph relationships into grounded context your AI can retrieve.

3 blueprints

Agency

Give AI modular MCP tools for research, coding, reporting, data access and custom workflows.

2 blueprints

Control

Centralize identity, permissions, budgets and human approvals so autonomy does not require unrestricted access.

2 blueprints

Security

Protect self-hosted AI with tunneled ingress, SSO, behavioral detection, scanning and optional runtime enforcement.

2 blueprints

Observability

Collect metrics, logs and traces so your AI platform is measurable, diagnosable and reportable.

2 blueprints

Interfaces

Deliver the same intelligence through web chat, Telegram, APIs, speech, mobile and purpose-built applications.

2 blueprints

Automation

Use code-defined automation and containerized infrastructure patterns to make deployment, recovery and evolution repeatable.

1 blueprints

Build with architectural consequences in view.

Explore freely, then validate a real deployment envelope before a quote is ever calculated.

  1. Discover

    Explore 16 productized capabilities and what each unlocks.

  2. Configure

    Add capabilities; prerequisites resolve automatically.

  3. Validate

    Describe your hardware and see the planning envelope fit.

  4. Deploy

    Preview the blueprint, unlock pricing, receive the package.

Browse all 16 blueprints
AI Experience

Private AI Workspace

One private workspace for models, knowledge, tools, search, voice and collaborative AI.

2 vCPU4 GB RAM
Knowledge

Persistent AI Memory

Let agents recall relevant history across sessions instead of starting over.

1 vCPU2 GB RAM
Agents

Research Intelligence

Search, crawl, extract, structure and retain web intelligence as reusable organizational knowledge.

2 vCPU3 GB RAM
Business Platform

AI Platform-as-a-Service

Operate governed AI capabilities for multiple users, teams or customers from one controlled platform.

2 vCPU5 GB RAM

Secured and observed by design.

Security and operations are platform layers, not services bolted on after deployment.

Security layer

Threat Detection & Runtime Security

Layered security using behavioral detection, application remediation, deception, vulnerability scanning and optional eBPF runtime observability/enforcement.

  • Intrusion prevention, the reverse-proxy bouncer, the honeypot and the threat map are live.
  • The vulnerability scanner runs as a scheduled scan, not a resident service.
  • Runtime security enforcement is optional and currently disabled pending an observe/enforce redesign; it is never marketed as active.
Operations layer

AI Operations Center

A unified observability stack for infrastructure and applications with alerting, correlation and long-retention metrics.

61 containers15 pods0 orphans0 gaps

Run it your way

Your infrastructure remains your decision.

Start with the systems you have or size a clean environment around the build you create.

Existing VPS

Add capabilities to a server you already run.

New VPS

A clean cloud host sized to your build.

Cloud account

Your AWS, GCP, Azure or other cloud account: a VM, Kubernetes or serverless.

On-prem

Hardware in your office or data center.

Workstation

A capable desktop, ideal for local-AI builds.

Questions buyers ask

Straight answers.

Architecture and operating reality should be clear before a sales conversation.

Why not just buy ChatGPT Business?

Use it when it solves the problem. AICORTEX is for the capabilities around and beyond a single SaaS workspace: your own model gateway, private RAG architecture, persistent session memory, knowledge graph, custom MCP tools, self-hosted observability, multi-channel agents and application backends.

Isn't self-hosting too complicated?

That complexity is exactly what a blueprint packages. The buyer receives the architecture, prerequisites, deployment sequence, configuration choices, operating requirements and acceptance test rather than starting from a blank server.

Do I have to run every model locally?

No. AICORTEX is hybrid by design. Route some workloads to cloud providers and others to local inference while keeping one application-facing API and policy layer.

Is this just a chat UI install?

No. The chat UI is one interface in a larger platform spanning model routing, data, embeddings, persistent memory, knowledge graphs, agent tools, approvals, identity, ingress security, metrics, logs, traces, reports and specialized applications.

What if one open-source project changes?

Replaceability is part of the architecture. Standard interfaces such as OpenAI-compatible APIs, MCP, OIDC/OAuth, OpenTelemetry, standard relational databases and containers reduce the cost of changing individual components.

When do I see pricing?

After you configure your build and validate hardware fit, the final step reveals authoritative pricing computed server-side, with blueprint, bundle, deployment and managed-operation options itemized.

Map the system you need

Select any capability to inspect its outcome, footprint, and place in the platform. Additions resolve required dependencies automatically.

Core Selected Automatic Required path
Foundation

AICORTEX Core Platform

Deploy the owned AI substrate once, then add capabilities as modules.

2 vCPU3 GB RAM6 services
Core: always presentView blueprint
The platform is modular. The outcome is yours.

Assemble your private AI operating platform.

Explore capabilities, validate hardware, and review the architecture before unlocking authoritative pricing.

Build My AICORTEX Inspect the technology