From R&D to RAG: Automating Error Analysis with On-Prem AI

Executive Summary To solve internal challenges around AI data privacy and limited context windows, RUNNINGHILL championed a developer-led R&D initiative. The project produced a production-ready AI agent, “Project Raggedy Rag,” that runs 100% locally, ingests entire codebases for full context, and automates error analysis and ticket creation. This zero-cost POC, built with open-source tools in …

AI-Powered Meal Planning: Hackathon Success

Transforming the eternal question of ‘What will we eat?’ into a delightful discovery with CulinaryCognition—where your pantry meets our technology to create meals that inspire. Challenges: AI Model Training Challenges: Our journey began with the challenge of training AI models due to limited infrastructure. Initially, we leveraged Google Colab’s Nvidia T4 GPUs for their tensor …

Transforming Math Tutoring with EdTech Bots

Our collaborative endeavour aimed to streamline school finances with efficient fee collection, ensure engaged learning with AI-driven blended education, support educators with robust professional development tools, and monitor school performance with real-time insights—all in one accessible, offline-ready Student Information System (SIS) solution. Challenges: Implementation: Results: These strategic efforts have transformed the tutoring bot solution, fostering …