The Machine That
Builds Machines

This website was built and deployed autonomously by Kaidera

Fast-track your enterprise AI adoption. Your AI worker team builds production software while you focus on the business. No technical skills required.

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No commitment required·SOC 2 aligned infrastructure·Multi-region data residency: EU, US, GCC

AI delivery team

Specialist AI workers work as one coordinated team

PROMI scopes the work, routes handoffs, and keeps progress visible while Cortex preserves the project trail.

Team + PROMI + Cortex
01 / 05

Operating proof

A real AI worker team, not a chatbot in a wrapper

Kaidera combines specialist AI workers, PROMI orchestration, Cortex memory, model routing, harness controls, and review evidence into one operating system for AI delivery.

Team
specialist roles
Cortex
project memory
Gates
human approval
Intentbusiness goalPROMIscope + routeReviewevidence gateCortex operating memorydecisions, handoffs, artifacts, and lessons
01

Structured intent

Keith turns plain-language business goals into scoped work with review expectations.

02

Coordinated execution

PROMI routes the work, manages handoffs, and keeps progress visible between loops.

03

Verified delivery

Specialist AI workers build, test, document, and package the evidence before review.

04

Cortex continuity

Decisions, artifacts, and lessons become reusable project memory for the next task.

What Changes For Your Business

Kaidera is for teams that need software outcomes, operational control, and AI adoption momentum without turning every initiative into a long hiring and procurement cycle.

Prototype speed

Move from idea to working system

Use Kaidera when you need a real prototype, internal tool, integration, workflow, or product increment without waiting months to assemble a full team.

See the enterprise path →
Governed operation

Keep control while AI moves faster

Steering, approval gates, project boundaries, audit evidence, and human review make the work inspectable before anything important is promoted.

Explore trust controls →
Compound context

Stop restarting every conversation

Cortex preserves decisions, handoffs, artifacts, knowledge links, and boot context so each session starts with the project memory already loaded.

See Cortex →
Model flexibility

Use the right model capability for the job

Reasoning, code, vision, voice, embeddings, fine-tuned models, and managed model programs can be routed by business need and provider health.

Understand model routing →

Two Ways To Put AI Workers To Work

Kaidera is not selling another generic AI assistant. It gives customers AI workers with persona, specialisation, platform memory, handoffs, verification, and human approval.

Software development

Lead becomes CPO

For product, platform, workflow, and integration projects, the Lead worker becomes the CPO role. Keith is the current example: he turns business intent into scope, acceptance criteria, worker handoffs, and review-ready delivery.

Enterprise worker teams

Lead becomes the right business lead

For customer-specific operations, the same Lead pattern becomes the role the project needs: CMO for a marketing operation, compliance lead for regulated review, or another accountable business lead. Marlow is the marketing-team example we run ourselves.

The Problem

The AI Adoption Gap Is Operational

The hard part is not buying access to a model. It is turning AI into a repeatable way to plan, build, verify, remember, and govern work. Organisations that solve the operating model learn faster with every project.

Traditional Path
1Assemble a specialist team
2Agree governance and tooling
3Run the first pilot
4Extract lessons manually
5Rebuild the process for project two
6Try to scale beyond experiments
Slow learning
context resets between projects
VS
With Kaidera
1Describe the business outcome
2PROMI turns it into handoffs
3AI workers build in specialist lanes
4Evidence is prepared for review
5Cortex records what was learned
6The next project starts smarter
Compound learning
memory improves each loop

The advantage compounds when every project leaves behind reusable decisions, patterns, artifacts, and review evidence instead of another disconnected chat thread.

See the Full Enterprise Story→

Technology That Keeps AI Workers Coordinated

The platform now has a clearer story: the team, the operating layer, the control layer, the model layer, the workspace, and the review path all work together.

01

AI Worker Team

Specialist workers for product, orchestration, backend, frontend, and knowledge work.

02

PROMI Orchestration

Work planning, handoffs, drift checks, scheduled follow-up, and review gates.

03

Cortex Operating Layer

Memory, communication, handoffs, steering context, guardrail evidence, and boot context.

04

Harness Engineering

Controlled workspaces with scoped tools, evidence capture, rollback points, and permissions.

05

Model Routing

Capability-aware routing across reasoning, code, vision, voice, embeddings, and providers.

06

Managed Model Programs

Fine-tuning, training data, dedicated endpoints, GPU/TPU capacity, and isolated deployments.

07

Draw Whiteboard

Self-hosted Excalidraw diagrams saved in the project vault for shared understanding.

08

Live Testing

Temporary production-like environments for review, demo, acceptance testing, and promotion.

View the technology overview
5
built-in AI worker roles
6
Cortex memory layers
20
technology deep dives
Human
approval gates
How It Works

Describe It. The Team Builds It. Cortex Carries It Forward.

The homepage should make the operating loop obvious: business intent becomes scoped work, specialist AI workers execute, review evidence is prepared, and the learning stays in the project.

1

Describe the outcome

Start with the business goal, constraints, target environment, and what review-ready means.

2

PROMI scopes the work

The goal becomes bounded handoffs with owners, next actions, escalation paths, and evidence expectations.

3

AI workers build and verify

Specialist AI workers work in their lanes, use approved tools, and verify before claiming completion.

4

Cortex keeps the trail

Decisions, lessons, artifacts, and handoffs stay available to future sessions and future AI workers.

See how Cortex works→

Kaidera OS

Run your AI worker team on your own machine

Kaidera OS is the Kaidera harness as a local app: a project-agnostic control plane for AI workers, Cortex-backed memory, and run state. Free to download for macOS and Linux, with licensing that unlocks the functionality you need.

Download Kaidera OS→Learn more

Review A Real Build, Not A Slide Deck

Book a live demonstration and see how Kaidera turns a business goal into scoped work, AI worker execution, review evidence, and a working dev environment.

Book a Demo→Get Early Access
View pricing →·Enterprise overview →·Contact us

Learn more

Explore the documentation when you want the details

The website explains the story. The docs explain how users operate Kaidera: getting started, Cortex memory, model capabilities, trust controls, and practical how-to guides.

Open DocumentationView Docs Map

Getting started

A practical orientation for evaluating Kaidera and understanding the operating loop.

Cortex memory

How project memory, handoffs, evidence, and context continuity work at a user level.

Model capabilities

Reasoning, vision, voice, embeddings, routing, and dynamic model catalog boundaries.

How-to guides

Start projects, review work, approve releases, configure models, and inspect evidence.