| What it does | Sovereign agentic engineering platform that runs AI coding agents with roles, playbooks and gates on your infrastructure
| The agent-native Growth OS that turns your AI agent into a disciplined growth hacker
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| Stage | Not given
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| Founded | Not given
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| Based in | DE
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| Pricing model | Not given
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| 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
| Free: 1 member, 1 project, unlimited free contributors and viewers. Solo: $19.90/month for 1 member with unlimited projects. Team: $39/month for up to 3 members, then $10/month per extra member, with unlimited projects and private projects.
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| Key features | - 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
| - Complete experiment backlog with candidate ideas
- Status tracking from idea to outcome
- Shared experiment learnings across team and agents
- ICE, PIE, RICE scoring frameworks with voting
- Enforced experiment stages with mandatory results and learnings
- MCP server for AI agent read and write access
- Skills that teach agents the methodology
- Plugin for Claude Code and Codex
- Web app for team review and collaboration
- OAuth security with granular permissions
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| What makes it different | - Agents run on your infrastructure with no code leaving your perimeter, maintaining full data sovereignty and GDPR compliance
- No vendor lock-in with support for any AI model; switch models as better ones ship
- Integrates seamlessly into existing tools and workflows without requiring installations or migrations
- Live in days with transparent cost accounting per run in real tokens
| - Agents cannot bypass the method: tests cannot close without measured results and written learnings
- Enforced workflow prevents confident guesses and invented wins
- Shared memory ensures experiments are never repeated and evidence is preserved
- Agents read and write to the same record as teams under identical rules
- Data stays in EU on Hetzner servers in Finland
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 8 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 11 | 1 |
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| Citation Flow (Majestic) | 25 | 18 |
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| Referring domains (Majestic) | 6 | 4 |
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