The agent-native Growth OS that turns your AI agent into a disciplined growth hacker
Fast AI model for structured decisions with probabilities, no waitlist
Stage
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Founded
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Based in
US
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Pricing model
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Freemium
Pricing
Free: 1 member, 1 project, unlimited free contributors and viewers. Solo: $19.90/month for 1 member with unlimited projects. Team: $39/month for up to 3 members, then $10/month per extra member, with unlimited projects and private projects.
Starter plan: $10 one-time with 100,000 credits. Plans range from $10 to $1,000 one-time; monthly and yearly subscriptions also available.
Key features
Complete experiment backlog with candidate ideas
Status tracking from idea to outcome
Shared experiment learnings across team and agents
ICE, PIE, RICE scoring frameworks with voting
Enforced experiment stages with mandatory results and learnings
MCP server for AI agent read and write access
Skills that teach agents the methodology
Plugin for Claude Code and Codex
Web app for team review and collaboration
OAuth security with granular permissions
Online playground for testing decisions
REST API with typed schema
Multiple decision types: choice, score, and noul
Support for multiple decision models
Agent integration through Jev Agent Skill
Probability and confidence scores for decisions
Support for text and JSON state input
Batch question processing in one request
Free playground runs included
Interactive demos and examples
What makes it different
Agents cannot bypass the method: tests cannot close without measured results and written learnings
Enforced workflow prevents confident guesses and invented wins
Shared memory ensures experiments are never repeated and evidence is preserved
Agents read and write to the same record as teams under identical rules
Data stays in EU on Hetzner servers in Finland
Free online playground with no waitlist
Low-latency structured decisions paired with LLMs
Probability-backed decisions for risk-aware automation
Keeps developer control over data and business rules