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Kadmo vs Skillburst

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 Skillburst
DetailKadmo logo KadmoSkillburst logo Skillburst
What it doesSovereign agentic engineering platform that runs AI coding agents with roles, playbooks and gates on your infrastructure Turn your team's best AI workflows into approved skills people can use inside the assistants they already have
StageNot given Not given
FoundedNot given Not given
Based inDE Not given
Pricing modelNot given Free trial
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 Free during public pilot. Paid plans not yet available.
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
  • Shared skill catalog with approvals and versioning
  • GitHub-backed skills and automatic releases
  • Support for Claude, ChatGPT, Cursor, Codex, and Gemini
  • Role-based access and audit-ready governance
  • Adoption measurement and rollout tracking
  • Full version history and one-click rollback
  • Skills with context files and scripts
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
  • Non-technical teammates use skills by name without learning prompt engineering
  • GitHub as single source of truth for technical teams
  • Measure real adoption with joined, connected, and activated metrics
  • Versioning and rollback without losing history
Community votes00
DR (Domain Rating by Ahrefs)14 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)110
Citation Flow (Majestic)2519
Referring domains (Majestic)620

4 details filled in for both companies.

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