Autonomous underwater and surface vessels are finding increased utility as data gathering tools in marine science applications. However, in most deployments, the number of robotic platforms deployed per human on the trip is typically equal too, or less than, one. Given the pressures of time, resources and expense in these expeditions, there is a need to flip this ratio to safely maximise data fidelity and to increase utility of the platforms beyond general monitoring tasks. QUT has been developing a Collaborative Ocean Robot Ecosystem (CORE) with the goal of addressing this to support and scale ocean exploration, monitoring, conservation and restoration. The CORE technologies are focused on abstracting away the autonomy and allow in-field domain experts to focus on quality and diverse data collection and conservation tasks. These include human and robotic system user interfaces, and collaboration frameworks for multi-platform task planning and execution. Additionally, the systems focus on increasing the level of autonomy through perception-to-action with onboard AI and decision support systems for enhanced sampling and intervention tasks. This presentation provides an overview of some CORE technologies with examples shown from field deployments illustrating the ability to scale ocean observation, repeat multi-resolution sampling, and automated restoration tasks.