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),

Description: Inspired by the "Notion" aesthetic and the Second Brain philosophy, Mode.AI is a distraction-free coaching ecosystem. It goes beyond text, offering Simulated Live Video Sessions  with voice-enabled AI agents and automated email roadmaps to keep users accountable to their goals. Developed as a high-velocity response to the Better Creating Hackathon  challenge. The Concept Self-improvement is often lonely and disorganized. Users drown in productivity apps that a

Description: A dual-layer intelligence system for grid resilience. Trained on the client's specific historical fault and fleet data , it uses Machine Learning Clustering to identify weather-triggered hotspots and activates a Predictive Logistic Model to simulate real-world traffic. The result: strategic crew positioning that ensures SLA compliance before outages occur. The Challenge In power distribution, uncertainty is the enemy. Operators struggle with two blind spots: kn

Description: A cross-platform app that moves beyond static libraries. We built an AI-native engine that generates unique meditation scripts and neural voice audio in real-time, adapting tone and pacing to the user’s specific emotional state instantly. The Concept Traditional wellness apps rely on pre-recorded, "one-size-fits-all" libraries. We envisioned a system capable of infinite personalization—an app that listens to the user's immediate emotional needs and constructs a