When our team needed a better way to manage and share coral restoration resources, we trusted AVI. They delivered a clean, accessible UX/UI platform tailored to our mission—while also building a pipeline to generate and analyze photomosaics of underwater coral. AVI implemented a machine learning model using traditional convolutional neural networks (CNNs) to identify coral types—an approach they had been developing even before OpenAI emerged. Their use of SegmentAnything and enhancements to existing AI models support coral outplanting and research efforts. AVI’s deep technical expertise, responsiveness, and innovation helped us streamline support and elevate our conservation impact in meaningful, scalable ways.