We replaced the fallible human eye with autonomous AI. Compatible with vehicle dashcams, aerial drones, and 360° cameras , GridVision AI processes footage from any angle to detect vegetation and structural risks in real-time. Eliminating manual data entry and visual fatigue. Link Demo: https://gridvision-ai-760819247096.us-west1.run.app/ Video Demo: The Challenge Electrical distribution networks span thousands of kilometers, and traditional inspection suffers from a dual bot

Description: An automated cross-platform system that monitors 22 strategic zones across 7 regions. By processing real-time NOAA/GFS predictive models, IngemoAlert translates complex weather variables into binary operational alerts (Safe/Critical), allowing grid operators to anticipate service disruptions. The Challenge Electrical distribution networks are highly vulnerable to rapid climate changes. Operators needed a centralized, real-time mechanism to anticipate risks acro

Description: We transformed the manual tracking of high-value distribution assets (transformers & regulators) into a unified digital ecosystem. By integrating PowerApps with Power BI , we provide real-time location tracking, status updates, and a single source of truth that eliminates inventory blind spots. The Challenge Managing the inventory of Distribution (Dx) equipment—critical assets like transformers and voltage regulators—relied on fragmented, manual workflows. Thi

Description: We engineered a hybrid automation engine for Chilquinta Energía that generates over 7,000 technical inspection reports annually . By orchestrating Power Automate , GIS , and a custom Python core, we reduced manual workload by 7,000+ hours/year , using AI to draft technical conclusions and integrate field evidence autonomously. The Challenge Generating thousands of inspection reports annually was a bottleneck. The manual consolidation of field data (PowerApps),