GitMir vs PrivOS

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

GitMir compared with PrivOS
Detail	GitMir	PrivOS
What it does	AI model of your product's business logic accessible to people and AI agents	AI Operating System for Enterprise
Stage	Not given	Not given
Founded	Not given	Not given
Based in	GB	US
Pricing model	Freemium	Not given
Pricing	Free: 10,000 starting credits plus 1,000 per month. Engineering: $29 per active developer per month with 30,000 pooled credits each month. GitMir Vibe: $9 per person per month. Cloud Compute: $99 per project per month. MeetAI: $49 per project per month. GoBots: $99 per venture per month. Market: $49	Free (Community): $0/user/month for up to 10 users, bring your own LLM keys. Starter: $20/user/month (annual) with 5,000 LLM credits/user/month. Professional: $30/user/month (annual) with 10,000 LLM credits/user/month. Enterprise: $45/user/month (annual) with 20,000 LLM credits/user/month and dedica
Key features	Builds features, rules and customer paths and keeps them current with every push Shows what each commit changed in the business logic, not only in the code Provides change impact analysis before merge showing what could break Checks PRDs and specifications against the product Delivers understanding to AI agents over MCP Runs locally on your machine with GMM Local Finds risky patterns and problems in the product Enterprise deployment inside your security boundary Integrates with Claude Code, Cursor, Codex and VS Code MCP access for agents with 1-10 credits per answer	Team chat with channels, threads, and room-scoped isolation Smart Lists & Data with spreadsheet and Kanban views Documents & Files with centralized storage and versioning AI Bot Agents with permission-bounded execution MCP Apps for custom portals and integrations Sandbox isolated execution environment Full audit trail for compliance Multiple deployment options: cloud, self-hosted, air-gapped Room-level isolation and data boundaries Autonomous AI workflows with Sense → Think → Act cycles
What makes it different	Nearly 3× fewer errors on Benchmark 001 compared to alternatives 8.4K tokens per question instead of 27.4K for competitors Results published and measurable; method is proprietary Reduces AI cost per completed agent action from $0.35 to $0.08	Self-hosted, air-gapped deployment for complete data sovereignty EU-compliant with GDPR, NIS2, and EU AI Act compliance built-in Room-scoped AI agents with full permission control and audit trail
Free plan	Not given	Not given
Open source	Not given	Not given
Platforms	Not given	Not given
Public API	Not given	Not given
Community votes	0	0
DR (Domain Rating by Ahrefs)	27 no change since last check	20 no change since last check
Trust Flow (Majestic)	3	4
Citation Flow (Majestic)	28	31
Referring domains (Majestic)	50	125

5 details filled in for both companies.

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