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Kadmo vs Commt

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

Kadmo compared with Commt
DetailKadmo logo KadmoCommt logo Commt
What it doesSovereign agentic engineering platform that runs AI coding agents with roles, playbooks and gates on your infrastructure Private AI Agent Platform for Businesses
StageNot given Not given
FoundedNot given Not given
Based inDE GB
Pricing modelNot given Not given
PricingTrial: 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 Entry: $244/month (30% off early access, regular $349/month) for up to 5,000 requests per month. Pro: $559/month (30% off early access, regular $799/month) for up to 16,000 requests per month.
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
  • Build agents without code from the dashboard
  • Ground agents in your own knowledge bases
  • Connect twenty built-in integrations
  • Set request limits per project
  • Switch between models with one click
  • Control agent data retention
  • Set guardrails on agent responses
  • Use frontier and open-source models
  • Connect through API or MCP servers
  • Test agents in playground before production
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 only access what you explicitly allow, not the entire internet or your systems
  • No message content stored by default, only metadata for usage reports
  • Predictable monthly pricing with a hard request limit, no surprise bills
  • EU-hosted with isolated storage and databases
  • Agents evolve without rebuilding when switching models or tools
Community votes00
DR (Domain Rating by Ahrefs)26 +1 (up) since last check36 no change since last check
Trust Flow (Majestic)112
Citation Flow (Majestic)2516
Referring domains (Majestic)68

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