Forge Orbital vs Brian2 Atlas
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Forge Orbital compared with Brian2 Atlas
| Detail |
Forge Orbital |
Brian2 Atlas |
| What it does | AI accountability that grows into governance
| Distributed neural simulation with MPI for Brian2 models
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| Stage | Not given
| Startup
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| Founded | Not given
| 2026
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| Based in | US
| GB
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| Pricing model | Not given
| Open source
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| Pricing | Not given
| Not given
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| Key features | - Governance: checks proposed AI actions against defined rules before execution
- Recorded decision records that can be reviewed, replayed and verified later
- Evaluation: compares AI agent performance using representative test cases and expected outcomes
- Optimization: recommends model and cache candidates based on usage, prices and evaluation evidence
- Regress detection identifies changed action paths and quality regressions
- On-premises and private cloud deployment
- Integration with existing AI tools via connectors and wrappers
- No model training on customer data; separate data boundaries from external AI providers
- Cost comparison and optimization across model and cache configurations
| - 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
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| What makes it different | - Independent accountability: checks run inside your systems, not asking another AI to audit AI
- Your people keep authority: Forge produces decision evidence, your business enforces results
- Recorded decision evidence that auditors and regulators can examine
- Designed for consequential work in regulated industries like financial services
- Not another dashboard: integrates into your workflow without replacing your AI tools
| - Distributed execution without sacrificing Brian2's familiar modelling interface
- Open-source with published arXiv paper and reproduction materials
- Explicit, verifiable execution plans via AtlasIR
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | Not checked yet ▼ −1 (down) since last check |
| Trust Flow (Majestic) | 0 | 3 |
| Citation Flow (Majestic) | 7 | 19 |
| Referring domains (Majestic) | 22 | 14 |
4 details filled in for both companies.
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