Technical Blogs

Technical deep dives, architectural decisions, and research notes from the Cortex R&D team.

NemoClaw: The Security Layer AI Agents Actually Needed
Mar 23, 2026 // Rahi

NemoClaw: The Security Layer AI Agents Actually Needed

NVIDIA's NemoClaw doesn't replace OpenClaw — it wraps it inside an isolated Linux sandbox enforced by Landlock, seccomp, and network namespaces, with declarative YAML policies governing every outbound byte. If you've been waiting for autonomous AI agents to be usable in production without handing them the keys to your entire filesystem, this is that moment.

How LiveKit Works: The Complete Engineer's Guide
Mar 23, 2026 // Rahi

How LiveKit Works: The Complete Engineer's Guide

You've probably heard "real-time voice AI" thrown around a lot lately. Agents that answer your phone, book appointments, handle support calls — they're everywhere. And a huge chunk of them are quietly running on LiveKit under the hood. This post tears it apart, layer by layer, so you actually understand what's happening when someone calls your AI agent.

Mar 19, 2026 // Rahi

DataFlow: An AI-Powered Data Annotation Platform

Data labeling is one of the biggest hidden bottlenecks in ML projects. In this post, I walk through how I built DataFlow — a local, AI-powered annotation platform that takes a zip of images, accepts your label classes, and uses Meta's SAM 3 to automatically generate pixel-perfect segmentation masks across your entire dataset. No cloud, no manual polygon drawing, and no labeling team required. The result is a clean COCO-format dataset ready for any training pipeline — in an afternoon.