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Brian2 Atlas vs GitMir

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

Brian2 Atlas compared with GitMir
DetailBrian2 Atlas logo Brian2 AtlasGitMir logo GitMir
What it doesDistributed neural simulation with MPI for Brian2 models AI model of your product's business logic accessible to people and AI agents
StageStartup Not given
Founded2026 Not given
Based inGB GB
Pricing modelOpen source 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
  • Distributed simulation across MPI ranks
  • Multi-backend execution (CPU, GPU, Browser, MPI)
  • AtlasIR typed intermediate representation
  • Native forward and reverse execution for training
  • Retains Brian2 modelling interface
  • GPU execution on Apple Metal and NVIDIA CUDA
  • WebAssembly browser execution
  • CPU reference and AOT compilation
  • 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
  • Distributed execution without sacrificing Brian2's familiar modelling interface
  • Open-source with published arXiv paper and reproduction materials
  • Explicit, verifiable execution plans via AtlasIR
  • 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)Not checked yet −1 (down) since last check27 no change since last check
Trust Flow (Majestic)33
Citation Flow (Majestic)1928
Referring domains (Majestic)1450

5 details filled in for both companies.

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