AI-Native Fiber Design​

Business Challenge

A US fiber provider needed to deploy outside-plant (OSP) fiber faster and at lower cost across a large, multi-jurisdiction footprint — without adding engineering headcount.

Traditional fiber engineering created the bottleneck. Manual GIS and CAD drafting produced long cycles between design, survey, and permit submission. Design rework, inconsistent as-builts, and permit rejections inflated capital budgets, while jurisdiction-specific requirements pushed timelines out by weeks. Skilled OSP engineers were scarce, making it hard to scale the team to meet the build schedule.

Solutions & Impact

Bounteous replaced manual AutoCAD tracing with an AI-native design process built on aerial imagery and GeoAI. An AI model automatically detects road boundaries and center lines from drone and satellite imagery — reaching 90.5% accuracy (Intersection over Union) — feeding an end-to-end, automated workflow that runs from high-level design through LLD, permitting, construction drawings, and as-builts without manual handoffs. LiDAR and boots-on-the-ground surveys, a proprietary Minimum Spanning Tree routing tool, standardized permit packages, and automated QA rounded out the delivery.

The impact was measurable across speed, cost, and quality. The AI-driven approach delivered a 75% improvement in labor efficiency, cutting a four-hour design task to under 20 minutes. HLD generation time fell 77%, CAD-based automation drove 60% efficiency gains, and permit-drawing preparation took 47% less time. The team submitted 1,750 permit packages across 14 jurisdictions and sustained 100% on-time delivery of HLDs, LLDs, permits, and construction drawings — performance that helped the client rank among its top-performing vendors. Because the underlying detection model generalizes to any field survey domain, the same approach extends to water, sewer, gas, and electric infrastructure.