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Apollo-1 vs GitMir

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

Apollo-1 compared with GitMir
DetailApollo-1 logo Apollo-1GitMir logo GitMir
What it doesNeuro-symbolic AI for enterprise agents that combine language understanding with symbolic logic in one integrated runtime AI model of your product's business logic accessible to people and AI agents
StageEstablished Not given
Founded2017 Not given
Based inUS GB
Pricing modelContact for pricing Freemium
PricingNot given 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
Key features
  • One integrated runtime combining neural and symbolic systems
  • Deterministic policy enforcement before action
  • Complete execution trace for every turn
  • Natural language program authoring with code generation
  • Consistent decisions from identical inputs
  • CPU-based logic execution with lightweight language models
  • Managed service and custom enterprise deployment options
  • 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
What makes it different
  • Symbolic logic governs decisions instead of neural weights
  • Lower operational costs through CPU-based logic and lightweight models
  • 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
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes00
DR (Domain Rating by Ahrefs)20 no change since last check27 no change since last check
Trust Flow (Majestic)113
Citation Flow (Majestic)3328
Referring domains (Majestic)15550

5 details filled in for both companies.

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