| What it does | AI-native platform for engineering physical products from natural language descriptions
| AI-native forward deployed engineering software for enterprise customer deployments
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| Stage | Not given
| Startup
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| Founded | Not given
| 2025
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| Based in | NL
| Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | Explore: €19.99/month (1,000 credits), Create: €49.99/month (2,500 credits), Engineer: contact for pricing. Yearly billing available with up to 21% savings.
| 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
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| Key features | - Natural language product descriptions converted to 3D models
- Exact CAD geometry generation
- Bill of materials with complete parts list
- Manufacturing-grade geometry with part dimensions and assembly
- Electronics design in open beta
- System architecture and engineering reasoning
- Self-checking geometry verification
- Real-time simulation and testing
- Export to multiple file formats and manufacturers
- Collaborative engineering with AI agents
| - 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
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| What makes it different | - Exact, buildable geometry instead of visual approximations
- No CAD or engineering knowledge required
- Complete engineering data with traceability and reasoning
- Proprietary geometry kernel for real engineering, not guessing
- Dedicated capacity and collaborative scoping for enterprise
| - 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
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 4 ▲ +1 (up) since last check | 7 ▲ +4 (up) since last check |
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| Trust Flow (Majestic) | 7 | 1 |
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| Citation Flow (Majestic) | 27 | 20 |
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| Referring domains (Majestic) | 44 | 7 |
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Autonomyware
Meetext