Brian2 Atlas vs digithings

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 digithings
Detail	Brian2 Atlas	digithings
What it does	Distributed neural simulation with MPI for Brian2 models	Open-source AI infrastructure you self-host on your own hardware with your own keys
Stage	Startup	Not given
Founded	2026	Not given
Based in	GB	Not given
Pricing model	Open source	Open source
Pricing	Not given	Self-host: $0 (open source, MIT-licensed). Service and Enterprise tiers available on contact for integration and custom development work.
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	Provider routing with LiteLLM
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	Complete ownership: your keys, hardware, data and audit logs stay under your control No vendor lock-in: compose individual modules with your existing stack rather than replacing it Full transparency: MIT-licensed, publicly developed on GitHub with open issues, PRs and commit history Every request traceable: one ID threads through all services with full audit logging
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)	Not checked yet −1 (down) since last check	5 −4 (down) since last check
Trust Flow (Majestic)	3	0
Citation Flow (Majestic)	19	13
Referring domains (Majestic)	14	1

4 details filled in for both companies.

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