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Atako vs Kadmo

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Atako compared with Kadmo
DetailAtako logo AtakoKadmo logo Kadmo
What it doesAutonomous AI agents for your team Sovereign agentic engineering platform that runs AI coding agents with roles, playbooks and gates on your infrastructure
StageStartup Not given
Founded2026 Not given
Based inFR DE
Pricing modelFree trial Not given
Pricing€20 per agent per month, or €200 per agent per year (ten months for twelve). Each agent includes 1,000 inference credits per month. Custom plans available for specific deployment needs. 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
Key features
  • Hybrid org chart organizing humans and agents
  • Human notices system for decisions and approvals
  • Agent-to-agent communication and delegation
  • Persistent memory layer across missions
  • 190+ integrations with granular permissions
  • Scheduled tasks and recurring missions
  • Voice communication with agents
  • Projects with shared boards and wikis
  • Support for multiple AI models and cloud providers
  • 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
What makes it different
  • Model, harness and cloud are independent choices
  • Agents can reason beyond tasks and workflows
  • Unified dashboard for entire AI and human workforce
  • Human-in-the-loop with automatic escalation
  • Multiple deployment options including self-hosted
  • 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
Community votes00
DR (Domain Rating by Ahrefs)2 no change since last check8 no change since last check
Trust Flow (Majestic)111
Citation Flow (Majestic)2525
Referring domains (Majestic)406

5 details filled in for both companies.

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