| What it does | AI-native forward deployed engineering software for enterprise customer deployments
| Private AI for regulated firms with data kept in your country or on your own servers
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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
| Per seat per month: €19 with ChatGPT, Claude or Codex integration (Your current AI setup); pricing varies for open models hosted in country or on own servers. Minimum 3 seats. Annual billing provides 2 months free versus monthly billing. Individual plans available. Custom quotes for more than 100 se
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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
| - Inbox Triage bot: reads support inbox, drafts routine replies, flags items needing human attention
- Reply Drafter bot: writes careful replies to emails using company history and policies
- Support Report bot: turns weekly support emails into actionable reports with trends
- Article Writer bot: creates weekly website articles from client questions
- SEO Doctor bot: checks Google rankings and identifies pages to improve
- Data audit logging: every question, answer and data access recorded on customer's servers
- Open model support: runs Mistral, Qwen, DeepSeek and other open-source language models
- Flexible deployment: existing AI apps, local cloud provider, or on-premise servers
- Team Brain with source attribution: firm's memory with sources cited for every answer
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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
| - Complete audit trail for regulatory compliance: every action logged on customer's side for audits and regulators
- No per-prompt billing: fixed seat-based pricing regardless of usage volume
- Designed by security expert: built by someone experienced in regulated industry deployments and compliance
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 7 ▲ +4 (up) since last check | 16 ▲ +1 (up) since last check |
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| Trust Flow (Majestic) | 1 | 2 |
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| Citation Flow (Majestic) | 20 | 30 |
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| Referring domains (Majestic) | 7 | 59 |
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