Hi Product Hunt! 👋 I’m Atilla, an independent ecosystem orchestrator and infrastructure strategist. Over the last year, I've watched countless enterprises stall their autonomous AI deployments due to two massive fears: PII data leaks and unacceptable latency. Existing Python/Regex-based AI proxies add massive bottlenecks to production environments. That’s exactly why we built NemoClaw-in-a-Box. We stripped out the slow layers and built a C++/Rust SIMD engine that performs memory-level, zero-copy PII masking. The result is a sub-millisecond (<0.18ms) latency overhead. We also know compliance is a headache. So, NemoClaw automatically applies invisible cryptographic watermarks (HMAC-SHA256) to LLM outputs, instantly solving EU AI Act Article 50 transparency requirements. 🛠 Key Highlights: Blazing Fast: C++/Rust native engine. Vendor-Agnostic: Works seamlessly whether you run Llama locally or use OpenAI/Anthropic APIs. Drop-in Ready: Ships with Docker/K8s configurations. Deploy in 30 seconds. We are launching the open-core Community Edition today to help teams build safer, faster agentic workflows. I'd love to hear your feedback on our architecture, latency benchmarks, and how you currently handle LLM security in your own stacks. I’ll be here all day to answer your questions! 🚀

NemoClaw AI Shield

The 0.18ms Zero-Trust AI Firewall for Enterprise Agents.

The 0.18ms Zero-Trust AI Firewall for Enterprise Agents.