Case Study: Greenny achieves demo-ready AI carbon credit computation in two weeks with Hal9

Hal9 Helps Greenny Compute Carbon Credits with AI

Greenny, a startup focused on making carbon credit measurement and offsetting accessible with AI, needed a fast, accurate, and scalable way to compute carbon credits to demo to customers and attract investors. Traditional development was too slow, so Greenny turned to Hal9 and the Hal9 Platform to build a prototype that could handle diverse datasets and regulatory requirements quickly.

Hal9 implemented an AI-powered carbon credit computation system using the Hal9 Platform’s Python-based workflows, Streamlit apps for an interactive interface, and a cloud-deployed API integrated with Greenny’s datasets. Built in just two weeks, Hal9’s solution delivered a demo-ready product that impressed stakeholders, accelerated fundraising and customer acquisition, and provided a customizable, scalable foundation for Greenny’s growth.