Neul Labs: High-Performance AI Agent Infrastructure in Rust

About Neul Labs

Neul Labs (founded 2024) builds the production runtime, safety, and observability layer for AI agents. Rust-native. The bet is that the next decade of competitive advantage in AI is not about the models — the models are commoditising — but about the infrastructure that surrounds them.

Key Pillars

• Production agent runtime. Memory, tools, prompts, planning. The runtime that lets agents operate reliably in production.
• Safety architecture. The Substrate Pattern, Defence in Depth, and Tiered Governance Model. Multiple independent layers of safety, each one tested against the others.
• Observability. Tracing, kill switches, audit logs, runtime policy gates. Know what your agent is doing in production.
• Performance. Rust-native. Async runtime tuned, memory-efficient, zero-copy where it matters.

Open Source

The Neul Labs work is published as open source at github.com/sarkar-dipankar:

• harmony-protocol — reverse-engineered OpenAI Harmony response format
• fragaria — Chain of Thought reasoning API with RL
• deepfake-detection-network — Decentralized deepfake detection
• fairflow-protocol-paper — Equitable MEV mitigation in Ethereum

Read More

• Founder of Neul Labs — full founder story
• AI agent infrastructure consulting — engagement model
• Docs — product documentation