AI Research
February 5, 2026
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.
January 28, 2026
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 designs.
January 14, 2026
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.
December 19, 2025
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.