The Next Layer of the Stack

The Missing Layer Between
Kubernetes and Cognition

You abstracted hardware with the OS. Servers with the cloud. Now abstract intelligence with the Cognitive Layer.

Stop writing glue code for LLMs. Start building on intelligence infrastructure.

Nexus Forge visual workflow editor showing EE-Design-MAPO-Unified multi-agent workflow with connected AI agents, tournament judges, and GraphRAG integration
See How It Works
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18
Core Services
95+
MCP Tools
320+
AI Models
44
Services
The Challenge

Building AI Without the Cognitive Layer

Right now, you're juggling a vector database that doesn't talk to your graph, an LLM gateway with no memory, and a RAG pipeline held together with duct tape.

Sound familiar?

  • âś—Your AI features are scattered across 5+ vendors with no unified memory
  • âś—Every new model requires weeks of integration work
  • âś—You're paying for infrastructure your ML team built but can't maintain
  • âś—AI projects get stuck in development without clear production paths

The problem isn't your team. It's that you're building on the wrong layer.

Multiple
Vendors
Fragmented AI infrastructure
Complex
Integration
Custom glue code required
Slow
Deployment
Months from POC to production
Proven Results

NexusCRM: From Concept to Production

Our first vertical application demonstrates what's possible with Nexus. Built in 3 months, deployed to production, delivering measurable results.

Single API
Unified Access
320+ models, one interface
Cloud Native
K8s Ready
Production deployment included
44 Services
Included
Production-ready infrastructure
All-in-One
Platform
No vendor fragmentation

Real platform. Real infrastructure. Shipping today.

Nexus Dashboard home screen showing API key management, Teams plan status, rate limits, credits, and quick actions for creating API keys and viewing documentation

Dashboard Command Center

Nexus Data Explorer Geo View showing Manhattan map with geo-coded memory pins, spatial analysis widgets, and layer controls

GeoAgent Spatial Intelligence

Nexus Data Explorer showing 3D force-directed knowledge graph visualization with Graph Controls panel for search, layout, and interaction

GraphRAG Knowledge Graph

Infrastructure overview showing 18 running Kubernetes pods, CPU (424m), Memory (14563 Mi), Storage metrics, all healthy with zero failures

18 Kubernetes Pods — All Healthy

HPC Dashboard showing Connected Clusters, Running Jobs, Pending Jobs metrics with Local Compute connection, Manage Clusters, View Jobs, and recent job queue

HPC Cluster Management

Build Once. Leverage Everything.

Marketplace plugins don't rebuild infrastructure — they leverage the core Nexus stack. GraphRAG for memory, GPU for compute, n8n for orchestration.

Billing Marketplace Plugins tab showing Patent Assistant ($299/mo) and EE Design Partner ($299/mo) as installed paid marketplace plugins

Real Plugins, Real Revenue

Patent Assistant and EE Design Partner don't build their own infrastructure — they leverage GraphRAG for memory, GPU for compute, and n8n for orchestration. Build your vertical app on the same stack.

Spatial Intelligence, Built In

GeoAgent's mapping is a core service any plugin can call. From property management to logistics — one API, no mapping library required.

Nexus Data Explorer Geo View showing Manhattan map with geo-coded memory pins, spatial analysis widgets, and layer controls
n8n Services page showing API key, Quick Setup instructions, and Core Services including GraphRAG, FileProcess, and Sandbox — the foundation plugins build on

Every Plugin Inherits the Core Stack

GraphRAG memory, file processing, sandboxed code execution — core services included in every n8n deployment. Plugins consume them, never rebuild them.

Build Vertical. Scale Horizontal.

Build a vertical AI app. Launch it on the marketplace. Scale to thousands of users. The infrastructure handles the rest.

Billing & Services page showing Service Add-ons grid with Geo Agent, Mage Agent, Cyber Agent, Video Agent, Data Export, API Access, and Robotics Control

Core Services Plugins Consume

Infrastructure overview showing 18 running Kubernetes pods, CPU (424m), Memory (14563 Mi), Storage metrics, all healthy with zero failures

18 Pods — Production Infrastructure

n8n Instances page showing a running n8n instance deployed on Kubernetes (k8s_shared) in eu-central-1 region with Open, Credentials, Guide, Restart, and Delete controls

n8n Kubernetes Deployment

GPU Compute, JupyterHub, and Computer Vision

Dedicated GPU infrastructure with DeepSeek-R1 via vLLM, JupyterHub notebooks for interactive research, CVAT computer vision annotation, and MLFlow experiment tracking — research-grade computing built into the platform.

JupyterHub with EE Design MAPO GPU Accelerated Demo notebook alongside Nexus Terminal Computer with file browser and GPU compute output

Built for Vertical Software Companies

Whether you're building a new vertical SaaS product or adding AI to an existing application, Nexus provides the foundation you need.

SaaS Founders

Launch your AI-powered vertical product in months instead of years. Skip the infrastructure complexity and focus on your domain.

Enterprise Teams

Add AI capabilities to your existing applications with production-ready services. No ML team required.

Explore the developer docs →
Limited Early Access

50 Design Partners. One Cognitive Layer.

We're selecting 50 companies to shape the future of AI infrastructure. You'll get white-glove onboarding, direct access to our team, and input on the roadmap.

When these spots fill, you'll join the waitlist.

Explore Documentation

We're building for engineers who refuse to accept that AI integration should be this hard.

18
Core Services
95+
MCP Tools
MIT
Open Source
K8s
Cloud Native