EngineeringJanuary 28, 2026

Agentic FTTH Design: How AI Agents Plan Fiber Networks End-to-End

By Ariel Aviv

Traditional FTTH planning requires weeks of manual work across GIS, CAD, and spreadsheet tools. Nexma's agentic approach compresses this into minutes.

A single AI agent reasons about topology, optical budgets, and real-world street geometry to produce deployment-ready fiber network designs. This post explores how the agent decomposes the design problem into phases, from service area analysis through equipment placement and cable routing, and how it ensures every output meets field-deployment standards.

Full article coming soon.

Why Geospatial AI Agents Are Uniquely Hard to Build

Over two years of building AI agents that design fiber networks on real maps, we learned something most LLM-agent literature ignores: the physical world doesn't tolerate hallucination. This post breaks down the five fundamental constraints and the design principles that survived production.

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Product

January 14, 2026

Automating Splice Diagrams with TIA-598 Compliance

Splice documentation is one of the most error-prone steps in fiber deployment. We built an AI-driven splice engine that generates fully compliant TIA-598 diagrams, tracks every fiber from OLT to ONT, and validates optical loss budgets before a single cable is pulled.

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Research

December 19, 2025

Why MIP Alone Isn't Enough for Real-World Network Optimization

Mixed-Integer Programming finds mathematically optimal solutions — but it doesn't know about building footprints, street access, or pole-mounted closures. We combine MIP with geography-aware heuristics to get the best of both: optimality where it matters, practicality everywhere else.

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