Intelligence
Route local and cloud models through one governed AI gateway. Change providers as quality, cost, privacy or availability changes.
2 blueprintsPrivate AI, assembled around you
Build the AI platform you actually need.
Stop stacking disconnected AI subscriptions. AICORTEX gives you productized blueprints for a private AI workspace, model gateway, knowledge, memory, agents, security, observability, voice and application infrastructure on systems you control.
16
product blueprints
46
active workloads behind them
8
capability layers
1
owned platform
Interactive platform map
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
Blueprint 01 / Foundation
AICORTEX Core Platform
Deploy the owned AI substrate once, then add capabilities as modules.
2 vCPU3 GB RAM6 services
Core: always presentView blueprint
Why ownership matters
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
Eight interoperable layers
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.
Knowledge
Turn documents, databases, embeddings and graph relationships into grounded context your AI can retrieve.
3 blueprintsAgency
Give AI modular MCP tools for research, coding, reporting, data access and custom workflows.
2 blueprintsControl
Centralize identity, permissions, budgets and human approvals so autonomy does not require unrestricted access.
2 blueprintsSecurity
Protect self-hosted AI with tunneled ingress, SSO, behavioral detection, scanning and optional runtime enforcement.
2 blueprintsObservability
Collect metrics, logs and traces so your AI platform is measurable, diagnosable and reportable.
2 blueprintsInterfaces
Deliver the same intelligence through web chat, Telegram, APIs, speech, mobile and purpose-built applications.
2 blueprintsAutomation
Use Ansible and containerized infrastructure patterns to make deployment, recovery and evolution repeatable.
1 blueprintsFrom question to deployable system
Build with architectural consequences in view.
Explore freely, then validate a real deployment envelope before a quote is ever calculated.
- 01
Discover
Explore 16 productized capabilities and what each unlocks.
- 02
Configure
Add capabilities; prerequisites resolve automatically.
- 03
Validate
Describe your hardware and see the planning envelope fit.
- 04
Deploy
Preview the blueprint, unlock pricing, receive the package.
Start with an outcome
Blueprints that compose into more.
Blueprint 02 / AI Experience
Private AI Workspace
One private workspace for models, knowledge, tools, search, voice and collaborative AI.
Blueprint 05 / KnowledgePersistent AI Memory
Let agents recall relevant history across sessions instead of starting over.
Blueprint 09 / AgentsResearch Intelligence
Search, crawl, extract, structure and retain web intelligence as reusable organizational knowledge.
Blueprint 15 / Business PlatformAI Platform-as-a-Service
Operate governed AI capabilities for multiple users, teams or customers from one controlled platform.
Proof, not promises
Secured and observed by design.
Security and operations are platform layers, not services bolted on after deployment.
Threat Detection & Runtime Security
Layered security using behavioral detection, application remediation, deception, vulnerability scanning and optional eBPF runtime observability/enforcement.
- CrowdSec, the Traefik bouncer, the honeypot and the threat map are live.
- Trivy runs as a scheduled scan, not a resident service.
- Tetragon runtime enforcement is optional and currently disabled pending an observe/enforce redesign; it is never marketed as active.
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 VM
Your AWS, GCP, Azure or other cloud account.
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 an Open WebUI install?
No. Open WebUI 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, PostgreSQL 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.
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.