| What it does | The agent-native Growth OS that turns your AI agent into a disciplined growth hacker
| Deploy production-grade AI agents in 2 minutes with built-in PII protection
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| Stage | Not given
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| Founded | Not given
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| Based in | US
| NZ
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| Pricing model | Not given
| Freemium
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| 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.
| Basic (Free): 100k tokens, 1k requests, GPT-6 Luna, email and community support. Starter: $19/month (was $49): 1m tokens, 10k requests, all models with newest first, priority 24/7 support, direct roadmap input, monthly 1:1 product call, free compliance assessment. Custom: contact for enterprise need
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| 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
| - Guardian Layer PII protection with remove, mask, transform or detect options
- Support for over 100 AI models including OpenAI, Anthropic, Google, Mistral and open-source
- Build with Python, JavaScript or visual no-code builder
- Multi-agent routing with specialized agents on different models
- Tools including web search, Gmail, X, URL scraping and document parsing
- Built-in knowledge base with automatic retrieval, embeddings and citations
- Zero infrastructure deployment with hosted endpoint and auto-scaling
- Session memory included in deployments
- Bring your own API key or use Custodian-managed models
- Custom entity types for PII protection
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| 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
| - Guardian Layer proprietary PII protection keeps context while protecting sensitive data
- Deploy production agents in 2 minutes with no infrastructure setup
- One-line model switching across 100+ models without changing agent logic
- Complete support agent with knowledge base and memory in 6 lines of code
- Built-in multi-agent routing for specialized agent teams
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 3 ▲ +3 (up) since last check | 3 ● no change since last check |
| Trust Flow (Majestic) | 1 | 9 |
| Citation Flow (Majestic) | 18 | 23 |
| Referring domains (Majestic) | 4 | 52 |