Kadmo · Agent Orchestration Platform

Run your AI coding agents as one managed agent fleet.

Your developers already run Claude Code and Codex on their own. Kadmo runs them as an agent fleet along your processes, on your infrastructure, behind your own model gateway. An extra team that never sleeps.

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✓Customer result: at GoStudent one product manager ships the output of seven engineers, above 90 percent accepted on first pass.

01

01 · Known problems

Ten developers, ten different setups.

Every developer built their own agentic coding setup. Ten or more agents, like ten people who cannot talk to each other. Each developer got faster. The company did not.

01Everyone runs their own setup

02Each month there is a better model

03It starts hallucinating

04Code sits in private accounts

05Nobody can price a ticket

06Knowledge leaves with the person

Claude Code

Codex

Cursor

by hand

“Quality depends on whose machine the agent ran on, not on a company standard.”Engineering Manager

Claude→Gemini→ChatGPT→Kimi6 switches in one month

“Every switch costs me my context and a fresh setup.”Senior Engineer

context window

the agent starts to hallucinate

“It ran two hours on a big ticket, then shipped something nobody asked for.”Product Manager

your code→personal AI account→third party cloud

“Half our codebase was in personal AI accounts before we had a policy for it.”CISO

11 subscriptionspersonal cards? € per ticket

“Nobody can tell me what a shipped ticket actually costs.”CTO

Agent A · own rulesAgent B · own rulesAgent C · no rulesshared company layer: missing

“What one developer taught his agent last week, the next one never sees.”Head of Engineering

02

02 · The three stages

Everyone is somewhere on this curve.

Most teams stop at stage two.

Output per team →

KADMO

most teams are here

10x

STAGE ONE

Chat assistants

One chat per person. Nothing shared.

STAGE TWO

Coding agents, one per developer

Faster individuals, team output lagging.

most teams are here

STAGE THREE

The agent fleet

One fleet with shared roles, playbooks and gates enables new horizons.

KADMO10x

Our expertise is stage three. We keep it state of the art so your team does not have to.

03

03 · Meet Kadmo

Think of Kadmo as an extra engineering team: your agent fleet.

It works in your tools, on your cloud, by your rules, superpowering your team.

Agents with clear roles

Engineers, a product manager, a reviewer and a QA agent. Each one does only its job.

It works inside the tools you already use

Your task board, your repository, your cloud, your models. Nobody needs to install anything.

You run it like any other team

Set the rules once, hand it tickets, get results back in the ticket.

CHAT CLIENTS

Slack

Teams

Signal

Kadmo Chat

Hermes

KADMO PLATFORM

Your company workspace

Gateway: one secure connection, your models
Playbooks: how work gets done
Roles, teams and permissions
Tasks, approvals and trace

KADMO AGENT FLEET

Specialist roles, on your cloud

SEPMQAREVIEWSECURITYDOCS

Take on real work, 24/7
Ask when they need you
Show what they did

YOUR AGENTS WORK IN YOUR TOOLS

CODE & GIT

GitHub

GitLab

Bitbucket

TASK MANAGEMENT

Jira

Linear

Notion

04

04 · How it works

EXAMPLE FLOW

You drop the ticket. The fleet takes it from there.

One example playbook. Agents in the roles you defined, each on its own machine, choreographed by a playbook that says how they work together. Your playbook defines where you step in.

0

Ticket

You · on your task board

1

Plan

PM · splits it into tasks

2

Build

Engineers · in parallel

3

Review

Senior review · your sign off

4

Test

QA · on the live site

✓

Done

Ticket resolved · PR merged

a gate fails → back to the engineer, until it passes

A ticket lands on your task board.

Jira, Linear or your own. Nothing new for the team to learn. The playbook picks it up from there.

The PM agent plans and splits the ticket.

Every task is sized to fit one agent, then handed to the right role. tasks ready → continue

Engineers build, each on its own machine.

Own branch, own context, in parallel. Anything unclear pauses the run instead of guessing. pull request open → continue unclear → pause and ask

A senior agent reviews. You sign off, if you want to.

Reviewed against your standards. Where the playbook says so, a person approves before the merge. merged → continue conflict → pause and ask

QA tests the change on the live environment.

Where your playbook says so, a person signs off before the ticket counts as done. tests pass → done tests fail → back to the engineer

Ticket resolved. Everything is written down.

The PR is merged, the ticket is closed, and every step left a comment saying what it did and why.

END TO END DOCUMENTATION

05

05 · Agents out of the box

Kadmo comes with agents that are ready the day you start.

These seven agentic solutions come with Kadmo and add value from day one.

KADMOout of the box

Software Engineer

Product Manager

QA

Security

Documentation

Skill Discovery

Website Builder

Tap an agent

Software Engineer agent

READY

Takes a ticket, works on its own machine and branch, opens a pull request and fixes what review sends back.

Gate: a senior review, and your sign off where the playbook asks for it

Product Manager agent

READY

Turns a goal into an epic, splits it into tickets sized for one agent each, and checks the result against the intent.

Gate: you approve the breakdown before anything gets built

QA agent

READY

Runs your test suite on the live environment after every change or release and files what breaks as tickets.

Gate: a failed test blocks the release until it passes

Security agent

COMING SOON

Runs every night over dependencies, secrets, configuration and new code. The work nobody wants to do by hand.

Gate: critical findings stop the run and wait for a person

Documentation agent

READY

Reads what shipped, updates your docs and drafts the customer update, so documentation never falls behind the code.

Gate: nothing goes to customers before you approve the draft

Skill Discovery agent

READY

Reads your codebase and past runs and writes down what every other agent needs to know, so the next run starts smarter.

Gate: a reviewed skill lands in your repository, not in a private account

Website Builder agent

READY

Builds and updates pages from a brief: layout, copy and components, published to your site once you approve.

Gate: nothing goes live before you approve the preview

These seven are only the start. Adjust any of them, or add roles and playbooks of your own.

06

06 · Why the result is better

A Kadmo fleet runs more and better.

Six reasons why a Kadmo fleet beats a single coding assistant that takes a whole ticket alone.

01Specialist agents work as a team

02Context windows stay small

03Strict playbooks with quality gates

04It runs 24/7

05Self learning through skills

06Everything is documented

FE · your componentsBE · your API rulesQA · your test suiteonly what the role needs

A ticket is split across specialist roles. A frontend agent is better at frontend work than any generalist, and each agent loads only the skills and rules its role needs.

one

hallucinates

FE

BE

QA

One agent holds the whole ticket until its window fills up and it starts to hallucinate. The fleet splits the same ticket, so every window stays small and sharp.

PR open→gate→PASS → mergeFAIL → back into the loop

Every playbook fixes the steps and puts a quality gate at each handoff. Nothing moves on before its gate passes, a fail goes back through the loop instead of onto main.

09:00 standup→02:00 still building→07:00 PRs waiting24/7

The fleet keeps working after your team logs off, so the tickets you drop in the evening are reviewed and tested by the morning.

skill written once→every agent loads itand the next run too

What one run learns is written back into Git as a skill. Every following run loads it, so the fleet gets better with every ticket.

PM · what and why→SE · PR and changes→QA · what was testedin your ticket, plus the full run log

Every agent writes what it did and why into the ticket, and the run log keeps every tool call, cost and change. Any line of code traces back to the step that made it. No black box.

07

07 · Success story

One product manager shipped the output of seven engineers.

How GoStudent rolls out its tutoring centre tool with a Kadmo fleet.

0

tickets shipped in one month

by one product manager at GoStudent

0%

accepted without rework

first pass yield on senior review

0

full time engineers

the output one product manager delivered with a Kadmo fleet

Felix Ohswald, founder of GoStudent, posted it himself

GoStudent LinkedIn post: 456 tickets, 13 epics, continuous autonomous development from Jira board to dev environment

08

08 · Get started

What you get with Kadmo.

✓More output, same headcount. The fleet works 24/7 next to your team.
✓No lock in. A better model ships, you switch.
✓Quality holds. A senior review and your gates sit on every ticket.
✓Your cloud, your models, your gateway. Code never leaves your perimeter.
✓Data protection built in. No personal AI accounts, GDPR ready, hosted where you choose.
✓Fits into your tools. Nothing to replace, nothing to migrate.
✓Every step documented. You see what each agent did and why, in the ticket.
✓You know what a ticket costs. Real token spend per ticket, in one place.

10x your engineering output. Keep the quality.

Live within days. Try it on one thing from your backlog, see the result, then decide. Everything we build stays yours.

Book a meeting leopold.holstein@kadmo.ai