What do we need to start?

A repository, a task board and one item from your backlog. Kadmo integrates with the tools you already use like Jira or Linear, GitHub or GitLab, so nothing needs to be replaced or migrated. Setup is completed with your team and live within days.

Where do the agents run and where does the code go?

Agents run on your own cloud infrastructure with scoped credentials for each agent. Code never leaves your perimeter, there are no personal AI accounts, it is GDPR ready, and you choose the hosting location. Model calls go through your own gateway.

Which models and coding agents does it use?

Claude Code and Codex are supported today on models from Anthropic, OpenAI and Google, either directly, through Bedrock, or behind your own gateway. There is no lock-in; you can switch to better models as they ship.

What does a ticket cost?

You know the cost to the cent. Every run reports its real token spend in the ticket in one place, so a shipped ticket has a price. The models run on your own accounts at your own rates.

How soon is a first visible result realistic?

After the potential scan one to two weeks, you know exactly where the lever is. A first working MVP typically takes one to six weeks and is testable on your real data. Only then do you decide on build and rollout.

Kadmo

Sovereign agentic engineering platform that runs AI coding agents with roles, playbooks and gates on your infrastructure

AI agents
Germany

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Kadmo metrics

Scan results for kadmo.ai from Ahrefs (Domain Rating) and Majestic (links); arrows mark the change since the last scan.
Metric	Value
Domain Rating	8 no change since last check
Trust Flow	11 no change since last check
Citation Flow	25 no change since last check
Referring domains	6 no change since last check
External backlinks	38 no change since last check

Ahrefs Domain Rating scanned 25 Oct 2026, updated 25 Oct 2026. Main topic: Computers/Software/Operating Systems (11). Majestic scanned 25 Oct 2026, updated 25 Oct 2026. Link stats via Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

Kadmo domain facts

From the registry's public RDAP record, checked 25 Oct 2026, 17:54 UTC.
Domain age	2 months
Registered	19 Aug 2026
Expires	19 Aug 2028
Registrar	NameCheap, Inc.
DNSSEC	Not signed

More about kadmo.ai's registration

Platform for running AI coding agents in specialized roles (engineer, product manager, QA, security, documentation) that work together through playbooks with

About Kadmo

Screenshot of the Kadmo homepage — The Kadmo homepage

Kadmo is a sovereign agentic engineering platform that orchestrates multiple AI coding agents working in parallel within your own cloud infrastructure. The platform provides pre-configured agent roles including Software Engineer, Product Manager, QA Engineer, Security, Documentation, and Skill Discovery, each specialized for specific tasks. Agents collaborate through playbooks that define workflows with gates at every handoff to ensure quality control. All code remains on your infrastructure, with full data residency control, GDPR compliance, and support for your existing tools like Jira, Linear, GitHub, and GitLab. The platform integrates AI models from Anthropic, OpenAI, and Google either directly or through your own gateway, with no vendor lock-in.

code review
infrastructure
workflow automation
ai agents
sovereign ai
playbooks
engineering automation

Features worth knowing

Multiple specialized agent roles (Engineer, Product Manager, QA, Security, Documentation, Skill Discovery, Website Builder)
Playbook-based workflows with gates at every handoff
Integration with existing tools (Jira, Linear, GitHub, GitLab, Slack, Notion, Teams)
Code execution on customer's own cloud infrastructure (AWS, Google Cloud, Hetzner)
Support for multiple AI models (Claude, GPT, Gemini, Codex) with no vendor lock-in
GDPR-compliant with data residency enforcement
Full transcript and audit logs for every agent run, replayable anytime
Governance controls including role-based access, approval policies, and spend budgets
Transparent token cost reporting per ticket

Pricing

Trial: Free for 15 days with €5 credit on Kadmo's LLM provider. Business: Flat monthly rate per workspace, unlimited seats, 100K runs per month, up to 100 agents on your cloud. Enterprise: Custom pricing with flexible terms, support for more than 100 agents by agreement. Model pricing: Claude Haiku

See Kadmo's full pricing (new browser tab)

Compare and explore

FAQ

What do we need to start?: A repository, a task board and one item from your backlog. Kadmo integrates with the tools you already use like Jira or Linear, GitHub or GitLab, so nothing needs to be replaced or migrated. Setup is completed with your team and live within days.
Where do the agents run and where does the code go?: Agents run on your own cloud infrastructure with scoped credentials for each agent. Code never leaves your perimeter, there are no personal AI accounts, it is GDPR ready, and you choose the hosting location. Model calls go through your own gateway.
Which models and coding agents does it use?: Claude Code and Codex are supported today on models from Anthropic, OpenAI and Google, either directly, through Bedrock, or behind your own gateway. There is no lock-in; you can switch to better models as they ship.
What does a ticket cost?: You know the cost to the cent. Every run reports its real token spend in the ticket in one place, so a shipped ticket has a price. The models run on your own accounts at your own rates.
How soon is a first visible result realistic?: After the potential scan one to two weeks, you know exactly where the lever is. A first working MVP typically takes one to six weeks and is testable on your real data. Only then do you decide on build and rollout.

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