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Meetext vs Stilops

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Meetext compared with Stilops
DetailMeetext logo MeetextStilops logo Stilops
What it doesAI-native forward deployed engineering software for enterprise customer deployments AI agents for specific business functions that rehearse tasks as test runs before execution
StageStartup Not given
Founded2025 Not given
Based inNot given DE
Pricing modelFreemium Paid
PricingFree 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 Roles range from € 99 to € 499 per month excluding VAT, with included monthly tasks varying by role: Administrative Assistant and Association Secretary at € 99/mo (40-45 tasks); Secretary at € 109/mo (50 tasks); Process Documentation and Planner at € 129/mo (15-40 tasks); Customer Service at € 229/m
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
  • Pre-built roles from a catalogue (31 roles)
  • Fingerprint verification on approval (SHA-256)
  • Full audit trail of proposals, test runs and approvals
  • Integration with 12+ pre-connected services
  • Custom REST API and MCP server connections
  • Servers in Germany within EU
  • AI Act compliance file (limited risk classification)
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
  • Test runs show actual outcomes with no side effects before real execution
  • No automatic approvals—every proposal requires explicit human approval
  • Approved test run and execution count together as one task, not two
  • Declined proposals are free and don't count against quota
Community votes00
DR (Domain Rating by Ahrefs)7 +4 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)10
Citation Flow (Majestic)200
Referring domains (Majestic)70

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