The Enterprise Agent Build & Runtime for the work your business runs on
Distributed neural simulation with MPI for Brian2 models
Stage
Not given
Startup
Founded
Not given
2026
Based in
Not given
GB
Pricing model
Freemium
Open source
Pricing
Free plan with 50 workflow executions per month and visual editor. Enterprise plan with custom pricing includes governance, dedicated VPC, and comprehensive support.
Not given
Key features
Visual editor and AI copilot
No-code visual editor, exportable to Python
Code-first API built for total control
Real-time tracing of every LLM call, tool call, and memory read
RBAC and audit with immutable audit trails and Enterprise IAM
Human-in-the-loop approval gates and intervention during execution
Runtime hooks inject PII redaction and policy checks
Automated and human-guided training for continuous improvement
Multi-LLM testing for model swapping at runtime
GitHub integration
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
What makes it different
Agentic use case generator powered by billions of agent runs
Intelligently guided by 700k agent workflow patterns
Control Plane sits in execution path ensuring every agent interaction is observable, compliant, and reversible
Every production run turns into training data to sharpen accuracy and save money
Distributed execution without sacrificing Brian2's familiar modelling interface
Open-source with published arXiv paper and reproduction materials
Brian2 Atlas