Run your AI coding agents as one managed engineering team.

Your developers already run Claude Code and Codex. Kadmo runs them as one coordinated team: shared role-based agents for QA, frontend, backend and senior review, on your infrastructure, live inside Jira and GitHub, on any LLM. We set the first team up with you.

The problem

That AI makes you faster and better is settled. Running it well is not.

All of this is barely a year old: 84% of developers already use AI tools (Claude Code, Codex, Cursor) and agents now write nearly half of all code on active projects. But every developer runs a private setup, nothing is shared, and most companies assume the answer is more licences. Same agents, two very different outcomes.

! Private assistants & solo agents
Every developer runs a private setup
No shared guardrails or skills
Agents drift and ship what nobody asked for
Code pasted into personal AI accounts
Invisible cost on personal cards
Orchestrated agent teams
One orchestrated team: roles, playbooks, gates
Knowledge written once: every agent loads it
Senior review gates every merge
Your team only reviews what gets flagged
Progress and cost visible per agent
kadmo.ai / Fleet 126 LIVE
Fleet console: live VMs, roles and telemetry
Sources: Stack Overflow Developer Survey 2025 · GitHub (≈46% of code AI-written for active Copilot users)
The solution · continuous delivery

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

Drop a ticket and step away. Agents plan, build, review, merge and deploy to production; a QA agent then tests the change on the live site. Anything unclear pauses the run instead of guessing. You're back only to review what gets flagged and verify it shipped.

Pipeline auto-plays. Click any stage to jump to it
kadmo.ai / Intake SCRUM-1301
Drop a ticket into the work pool; each picks up a playbook
The product

Compose the team. Coordinate with playbooks. Watch the fleet live.

One platform for the whole loop: define who does what, codify how the work flows, and watch it all run in real time, with the full transcript of every run.

01 · Roles

A role for each layer of your team.

Define roles once (PM, QA, SD, SE); each role knows what it may touch. Kadmo maps each agent to the work it does best and coordinates the handoffs across the change.

PMScopes tickets into ordered tasks
SDBuilds, refactors and fixes
QAReviews, tests and gates quality
SESenior review and merge
kadmo.ai / Roles
Role library: Software Engineer, QA, PM, Skill Discovery, CSM, Ops
kadmo.ai / Playbook checkout-v3
Playbook editor: role steps, gates, and Jira status sync
02 · Playbooks

Define the work once. The team runs it end to end.

Playbooks codify how work flows: trigger, build, review, ship, with quality gates between the steps. Write the recipe once and every ticket runs the same way. What the fleet learns is written down as skills; every agent loads them on the next run.

1
recipe per workflow
tickets, run identically
03 · Live

One control plane. Watch the fleet in real time.

Agents, jobs and spend in one live view (running, queued, cost per agent), with your team looped in only on what gets flagged.

kadmo.ai / Jobs STREAMING
Active now
3
Spend today
$672
▲8%
Throughput
3/h
Fleet
3/5
Active jobs LIVErefreshes 5s
Hagent-hzpmr-thompsonQA Regression · GOSCMS-1299~9m left
InitSetupExecutionTeardown4/6
Hagent-hzogu-galileoQA Regression · GOSCMS-1281~14m left
InitSetupExecutionTeardown3/6
Product · Runs on your stack

The multi agent orchestration platform for your stack. Bring your own everything.

No rip-and-replace. Kadmo is the orchestration layer: it wires your existing tools into two continuous loops, and you can swap any layer without touching the others. The engine underneath is an open-source MCP server. Self-host it on its own if you'd rather start there.

The dev cycle Loops continuously
Deploy
AWSGoogle CloudHetzneryour VPC
Agents run on VMs in your own account.
Tickets
JiraLinearGitHub IssuesSlack
Agents pick up, work, and update tickets, from your board or from Slack.
Code / Review / Deploy
GitHubGitLabBitbucket
Code, review and ship in the repo you already use.
next ticket · 24/7
The model cycle Swap any layer
Agent CLI
Claude CodeClaude Code RouterCodex
Claude Code at scale: the agentic CLI your devs already run.
LLM Provider
AnthropicOpenAIVertex AIBedrockself-hosted
Any model: vendor-hosted or your own.
Billing
SubscriptionAPI usageSelf-hosted
Pay whichever is cheapest.
Trust · Security

Your code never leaves your perimeter.

Agents run on infrastructure you own, behind your firewall, on a model stack you control, with guardrails defined once and enforced on every run. Kadmo orchestrates; it never holds your code.

VPC · behind your firewall
agent-eu-curie
backend · scoped
qa-runner-ada
QA · read-only
senior-review
merge · gated
Kadmo control plane orchestrates inside your network
source tickets credentials
controlled egress
prompts · your keys
Model provider
Bedrock Vertex OpenAI self-hosted
Sandboxed by role

Each agent gets its own VM and scoped credentials. QA runs read-only; merges stay gated behind review.

Egress you control

Outbound traffic is allowlisted per agent. You decide what every VM can reach.

Audit built in

Every run keeps its full transcript: prompts, diffs and actions, replayable any time.

Proof · live in production

It's already working — real numbers from GoStudent.

450+
tickets shipped in one month
by the agent fleet at GoStudent
92.5%
accepted without rework
first-pass yield on senior review
~7
engineers' worth of output
run by one product lead
“Using Kadmo, our product lead had the output of roughly 7 full-time engineers. At higher quality.
GoStudent · one month of production data
First team · installed with you · 2–4 weeks

We set up your first agent team.
The platform makes the second one free.

Thirty minutes: we walk through running Kadmo on your stack and scope your first agent team, off the critical path. Then we install it with you: on your infrastructure, in your repos, live against real tickets in two to four weeks. Everything we build stays yours.

Claude Opus/Sonnet byAnthropic · your subscription or API
Install timelinewith you, on your stack
1agent team, installed with you × 2–4weeks = liveon real tickets from your backlog
1
agent team, live on your stack
roles, playbooks and quality gates, built with you
24/7
running around the clock
add agents to add capacity, not headcount
100%
yours to keep
playbooks, skills and infra stay in your accounts
Start with one team, on one thing that is already stuck.