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Kadmo vs Syndicate

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 Syndicate
DetailKadmo logo KadmoSyndicate logo Syndicate
What it doesSovereign agentic engineering platform that runs AI coding agents with roles, playbooks and gates on your infrastructure Manage your own team of AI agents
StageNot given Not given
FoundedNot given Not given
Based inDE US
Pricing modelNot given Free
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 Not given
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
  • Atlas manager agent that breaks down tasks and delegates to specialists
  • Ready-made team templates for marketing, research, operations, and more
  • Agent Marketplace with 20+ built-in specialists
  • Four control modes from Minimal to Manual for agent autonomy
  • Support for Claude, OpenAI, Gemini, and GitHub Copilot on one team
  • Live activity feed, task board, and team inbox with file previews
  • Agent memory and shared Decision Ledger across sessions
  • Agent Creator to build custom specialists in plain English
  • MCP server integration to connect agents to outside services
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
  • One team can use multiple AI providers simultaneously
  • Atlas manager agent coordinates specialist agents with real-time task handoffs
  • Agents maintain memory across sessions with no re-explaining preferences
Community votes00
DR (Domain Rating by Ahrefs)14 +1 (up) since last check4 no change since last check
Trust Flow (Majestic)110
Citation Flow (Majestic)2524
Referring domains (Majestic)622

4 details filled in for both companies.

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