Boost.space vs Meetext

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

Boost.space compared with Meetext
Detail	Boost.space	Meetext
What it does	AI agents for product catalog revenue and business automation	AI-native forward deployed engineering software for enterprise customer deployments
Stage	Not given	Startup
Founded	2022	2025
Based in	CZ	Not given
Pricing model	Paid	Freemium
Pricing	Bob Agent Launch: $2,500 one-time (excluding VAT), includes up to 8 hours of expert work and first month of Agent OS. Custom Agent Launch: $5,000 one-time (excluding VAT), includes up to 16 hours of expert work and first month of Agent OS. Agent OS plans: Standard at $300 per month when paid annuall	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
Key features	Access to 9B+ commerce records for product research	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
What makes it different	One-time agent purchase with no subscription lock-in for the delivered agent Prove ROI in 4 weeks before committing to ongoing services Delivered agent remains yours with its training, memory and custom skills Reuse agent context and skills across multiple roles without starting from zero Transparent pricing with confirmed costs before purchase	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
Community votes	0	0
DR (Domain Rating by Ahrefs)	62 +1 (up) since last check	7 +4 (up) since last check
Trust Flow (Majestic)	18	1
Citation Flow (Majestic)	40	20
Referring domains (Majestic)	647	7

6 details filled in for both companies.

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