ReefNetAI Beta is now live!

Today we are opening ReefNetAI Beta. This is an early milestone for the platform, but it already reflects the core direction behind our work: making coral reef monitoring, analysis, and conservation workflows more connected, more scalable, and more practical for the teams doing the work.

ReefNetAI is being built to support scientists, NGOs, policymakers, and local monitoring teams with AI-driven image recognition, environmental data integration, and project-level coordination tools. Beta is our first step toward bringing those pieces into one working system.

What is included in Beta

• Early access to ReefNetAI segmentation and review workflows.
• A first look at project-based monitoring coordination inside the platform.
• Initial feedback loops that will directly shape upcoming product improvements.

Beta is not the finish line. It is the start of building ReefNetAI in close conversation with the people who will actually use it in the field and in research workflows.

Over the coming months, we will focus on improving segmentation quality, strengthening monitoring workflows, and making the platform more useful for real conservation and restoration programs. We are especially interested in learning where teams need clearer review flows, stronger environmental context, and better project coordination.

What comes next

This beta release is meant to be collaborative. We expect the platform to evolve quickly as we learn from how users apply ReefNetAI to surveys, restoration projects, and reef monitoring operations.

If you are exploring ReefNetAI during beta, thank you for being part of this stage. Your feedback will help define the product roadmap and shape a platform that can genuinely support reef science and conservation work.