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JevModel vs Kadmo

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

JevModel compared with Kadmo
DetailJevModel logo JevModelKadmo logo Kadmo
What it doesStructured AI decisions via API and playground 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 modelNot given Not given
PricingFree: 5 successful runs per UTC day after email verification. Starter: $9.90/month for 30M tokens/month. Builder: $19.90/month for 80M tokens/month. Pro: $39.90/month for 200M tokens/month. Scale: $79.90/month for 500M tokens/month. Tokens refresh monthly and do not roll over. One-time token packs a 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
  • Choice decision type: select from supplied options
  • Score decision type: assign level on defined scale
  • Noul decision type: yes/no judgment against criterion
  • Decision flows: chain questions on canvas with branching
  • Batch processing for CSV, TXT, JSONL files up to 1,000 rows
  • Shared account balance across console, batch and API
  • Export results as CSV or JSONL
  • Failed requests are refunded
  • Probabilities included with all answers
  • 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
  • One API and console for playground, flows, batch and API access
  • Only questions on the executed path in flows are billed
  • Built on TypeSafe AI's Jev structured decision model
  • Test and measure decisions on your own data before production
  • Custom decision criteria defined by your own labels and rules
  • 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)27 no change since last check8 no change since last check
Trust Flow (Majestic)911
Citation Flow (Majestic)2725
Referring domains (Majestic)796

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