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Meetext vs Elpis

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 Elpis
DetailMeetext logo MeetextElpis logo Elpis
What it doesAI-native forward deployed engineering software for enterprise customer deployments Portable context for terminal coding agents
StageStartup Not given
Founded2025 Not given
Based inNot given Not given
Pricing modelFreemium Open source
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 Not given
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
  • Context Ledger for curating admitted instructions, files and memory
  • Deterministic context admission before model processing
  • Workflows with Mother agent team design and checking
  • Love Spot drawing board with Matilda companion
  • Desktop app with theme customization
  • Support for GPT, Claude and Gemini models
  • Terminal and desktop app sharing state
  • Portable context for terminal coding agents
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
  • Deterministic context admission ensures agents see processed context before model receives it
  • Context Ledger provides transparent curation of agent inputs
  • Mother agent orchestrates multi-agent workflows with checking and merged results
  • Collaborative drawing interface with AI companion
Community votes00
DR (Domain Rating by Ahrefs)7 +4 (up) since last check7 no change since last check
Trust Flow (Majestic)10
Citation Flow (Majestic)2012
Referring domains (Majestic)76

4 details filled in for both companies.

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