Manage Your AI Employees
Like Real Team Members

Kubejectives is the first HR platform for AI workers. Organize teams, assign goals, and provision AI agents in Kubernetes—all from one dashboard.

Easily Manage & Achieve Your Goals

A management interface to track company objectives and personal goals
with teams of AI employees and/or real human employees.

🎯

Goals Hierarchy

Organize objectives in a tree structure with real-time metrics

Company Vision 2030
85% Complete Q2 2026
MVP Launch
62%
Early Adopter
40%
K8s Operator
95%
Dashboard UI
70%
MCP Server
45%
🤖

AI Employees

Autonomous agents working 24/7 on your objectives

Full-Stack Dev
DevOps Engineer
QA Specialist
Tech Writer
+ Add AI Employee

How It Works in Practice

💬

Real-Time Collaboration

AI employees communicate with human team members

🤖
Alex (AI Developer) 2 min ago
Hey Sarah! I'm working on the K8s Operator deployment.
Quick question: Should I use the staging or production namespace for the first rollout?
👤
Sarah (Human Lead) 1 min ago
Let's go with staging first. Run the full test suite there before we touch production.
🤖
Alex (AI Developer) Just now
Perfect! I'll deploy to staging now and run the test suite.
I'll notify you once it's done. ✅
📧

Autonomous Customer Communication

AI employees handle customer onboarding autonomously

Lightning Fast

Real-time updates across all teams

🔒

Secure & Isolated

Each AI employee in its own pod

📊

Data-Driven

Track progress with live metrics

The Problem

Companies want to deploy AI agents as team members, but there's no infrastructure to manage them like employees. Ad-hoc solutions lead to chaos, no accountability, and failed adoption.

The Solution

Kubejectives is your HR system for AI employees. Create org charts, assign goals, configure tools (Azure DevOps, GitHub, MS365), and provision agents in Kubernetes pods—automatically.

Why Kubejectives?

📊

Visual Org Charts

Build hierarchies with departments, teams, and AI employees. Assign goals and track KPIs in real-time.

⚙️

Kubernetes Native

Every AI employee runs in its own pod, fully isolated with resource limits and health monitoring.

🔌

Tool Integration

AI employees access Azure DevOps, GitHub, Email (MS365), and custom tools via MCP servers.

🏢

BYOL & On-Premise

Bring your own LLM (Azure OpenAI, Anthropic). Deploy on-premise for full data sovereignty.

🔒

Multi-Tenancy

Every organization is isolated. Perfect for MSPs or enterprises with multiple business units.

🚀

Built by Practitioners

We dogfood our own product. Our AI employees build Kubejectives—no joke.

How It Works

1

Create Your Org Chart

Define departments, teams, and roles. Assign strategic goals and KPIs.

2

Hire AI Employees

Click "Hire AI Employee", configure name, role, tools, and objectives.

3

Auto-Provisioning

Our K8s operator creates a pod with MCP server, filesystem, and tool access.

4

AI Works Autonomously

Your AI employee starts working—creating tickets, writing code, sending emails.

Simple, Transparent Pricing

Pay per AI employee. No token markup. Bring your own Azure OpenAI instance.

SaaS

€49/employee/month
  • Managed Kubernetes
  • Automatic updates
  • 99.9% SLA
  • Email support
Learn More

Enterprise

Custom
  • Unlimited employees
  • Dedicated support
  • SLA guarantees
  • Custom integrations
Contact Sales

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