Distributed neural simulation with MPI for Brian2 models
AI Agent Control Plane: Observability & Governance
Stage
Startup
Not given
Founded
2026
Not given
Based in
GB
IN
Pricing model
Open source
Freemium
Pricing
Not given
Free plan: $0/month with 50K events/month and 7-day retention. Team plan: $299/month with 2M events/month and 90-day retention. Business plan: $799/month with 10M events/month and 1-year retention. Enterprise plan: Custom pricing with volume pricing, custom retention, and unlimited policies.
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
Unified Agent Registry across LangChain, CrewAI, and OpenAI Agents SDK
End-to-End OpenTelemetry-native tracing with full execution visibility
Accurate cost tracking across 2,500+ models independent of trace sampling
PII and sensitive data detection with optional redaction and hard blocks
Prompt registry with versioning, comparison, and production label protection
Datasets, scorers, and experiment framework with evidence-attached promotion
Framework-agnostic design supporting dynamic agent identity and multi-agent systems
Real-time health scores and dashboard for agent performance monitoring
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
Only platform that enforces policies mid-execution instead of alerting after the fact
Zero runtime overhead guardrail detection using passive span processor inspection
Accurate cost totals at any sampling rate through OTEL metrics per LLM call
Framework-agnostic and portable through OpenTelemetry-native SDK design
Enterprise-grade security with SOC 2 Type II and RBAC built in