| What it does | AI-native forward deployed engineering software for enterprise customer deployments
| The approval layer for AI agents
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| Stage | Startup
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| Founded | 2025
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| Based in | Not given
| US
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| Pricing model | Freemium
| Freemium
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| Pricing | Free during launch for all plans. Developer: $0/month (1 customer, 2 environments). Startup: $249/month or $2,988/year (10 customers, 25 environments). Growth: $849/month or $10,188/year (75 customers, 150 environments). Enterprise: Custom pricing. If using Meetext's AI model, charged on usage at ap
| Open Source: free and self-hosted. Free: $0/month hosted plan with up to 5 members. Scale: $20 per user per month. Enterprise: Custom annual contract.
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| Key features | - Supports 14 enterprise destinations including Slack, Teams, ChatGPT, Claude, Salesforce, ServiceNow, HubSpot, Notion, Linear, Atlassian, Asana, Google Chat, Cursor and VS Code
- Personal data masking and usage budgets with kill switch
- Health checks, incident response and three-layer monitoring
- Customer-written acceptance criteria that rerun on each publish
- Hosted MCP endpoints and customer installation portals
- Cross-customer gap detection and pull request generation
- Permission-aware AI agent that requests confirmation before acting
| - Tool call interception for all agent frameworks
- Automatic approval rules to prevent fatigue
- AI judge for complex rule evaluation
- Works with LangGraph, CrewAI, Mastra, Claude Agent SDK and more
- Open Agent Approval Protocol for framework independence
- Self-hosted or cloud-hosted deployment options
- Custom permission policies and organization controls
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| What makes it different | - Automates the repeatable deployment work that scales linearly with customer count, avoiding the need to hire more forward deployed engineers
- Priced per customer environment rather than by API traffic or usage volume
- Verifies changes only when customer-written acceptance criteria pass, not just when code is deployed
- Includes AI agent for common operational tasks but all changes require human confirmation
| - Framework-agnostic: works with any AI agent through the open Agent Approval Protocol
- No vendor lock-in: open source spec and SDKs let you swap providers without rewriting agents
- Comprehensive audit trail for accountability and compliance
- Meets reviewers where they work with multi-platform notifications
- Policy-based routing to eliminate approval bottlenecks
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 7 ▲ +4 (up) since last check | 30 ▼ −1 (down) since last check |
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| Trust Flow (Majestic) | 1 | 6 |
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| Citation Flow (Majestic) | 20 | 28 |
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| Referring domains (Majestic) | 7 | 48 |
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