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Wilson vs Kadmo

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

Wilson compared with Kadmo
DetailWilson logo WilsonKadmo logo Kadmo
What it doesThe AI coworker in your Slack that does the actual work Sovereign agentic engineering platform that runs AI coding agents with roles, playbooks and gates on your infrastructure
StageNot given Not given
FoundedNot given Not given
Based inNot given DE
Pricing modelFreemium Not given
PricingTeam: $29/month with 5,000, 25,000, 50,000, or 200,000 credits per month. Enterprise: Custom pricing with flexible volume credits. 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
  • Generates board decks and reports from live business data
  • Creates live dashboards pulling from connected business tools
  • Builds and deploys internal web applications with databases and logins
  • Writes code and creates pull requests on feature branches
  • Audits marketing spend across multiple platforms
  • Connects to thousands of business applications natively
  • Human-in-the-loop approvals for sensitive actions
  • Scheduled tasks and automated recurring reports
  • Customizable tone and communication style
  • SOC 2, HIPAA and GDPR compliance
  • 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
  • Never trains on your data with workspace isolation and secured storage
  • Delivers finished artifacts directly in Slack rather than explanations
  • Operates with backend credential injection keeping API keys hidden from models
  • Built on Dynamiq sovereign agentic OS designed for regulated industries
  • 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)Not checked yet no change since last check8 no change since last check
Trust Flow (Majestic)1011
Citation Flow (Majestic)1225
Referring domains (Majestic)106

4 details filled in for both companies.

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