The Problem
Security firms deploying AI models for threat detection and alert triage have no fast way to estimate compute costs before rollout. Engineers prototype blind, then hit budget overruns mid-deployment.
The Solution
etxNexus-Q is a self-contained compute cost calculator and node monitoring dashboard built in React + TypeScript. Security teams input model parameters, expected traffic, and latency targets: the calculator returns Q-Credit projections per second, hour, day, and month. No external APIs. No backend.
Pages
- Home: Live node health stats (active nodes, credits/hour, avg latency)
- Allocator: Compute Cost Calculator with real-time slider-driven projections
- Network: Mocked node grid showing active vs offline infrastructure
Use Cases
- Pre-deployment cost estimation for AI-powered SOC tools
- Proof-of-concept dashboards for MDR platform demos
- Internal tooling for teams running LLM-based threat triage at scale
Impact
- Demonstrates that prototype-speed UI delivery is now a competitive
- Zero external dependencies: fully demoable offline
