Neul Labs: Dependable AI and Agent Systems
What Neul Labs does
I founded Neul Labs in 2024 to build and deliver the systems around an AI model: identity, authority, state, evaluation, execution boundaries, recovery, and operational ownership.
Current delivery includes agentic AI services using Azure AI Foundry and AKS/Kubernetes, custom sandboxing, and MCP in .NET. Customer names, architectures, usage scale, and security outcomes remain confidential.
Public reference work
The Neul Labs GitHub organisation provides inspectable implementations and research artefacts, including:
- Regulus for runtime identity, purpose, policy, privacy, human oversight, kill switches, and evidence export.
- fast-langgraph for durable agent state and checkpoint operations.
- grite for Git-native multi-agent coordination events.
- agentvfs for isolated agent workspaces and execution boundaries.
- brat as a crash-safe multi-agent harness.
These projects establish public design and implementation work. Unless a separate primary source says otherwise, they do not establish third-party adoption, independent audit, certification, or universal performance.
The operating thesis
An agent becomes a production system when it can cause side effects. Dependability then comes from explicit permissions, durable state, idempotent actions, evaluation, observability, recovery, rollback, and an accountable human owner—not from a more persuasive demonstration.