AN AI FRAMEWORK THAT LEARNS FROM ITS EXPERIENCES
Our AI framework, Hivemind, enables individuals and teams of unmanned systems to learn from their experiences in the real world and across millions of simulated experiences. From this groundbreaking learning, these teams of unmanned systems become capable of executing a wide variety of missions with minimal human input.
Hivemind strives to achieve self-actualizing, exponential performance improvement and capability expansion, and in doing so, will yield transformational strategic capabilities.
Shield AI’s Hivemind framework has the potential to be applied to a variety of unmanned systems. The first application of Hivemind is Shield AI’s autonomous quadrotor, Nova.
Today Hivemind enables robots to autonomously access and explore GPS-denied areas such as building interiors and caves to gather mission-critical, ground-level intelligence. Like we do, these robots learn from their experiences.
Through a variety of additional applications, Hivemind can enable unmanned systems to execute a variety of missions with minimal human input. From swarms of robots to individual quadcopters, and from small robots to 5,000-pound vehicles, our Hivemind-powered products create the capabilities that will make a critical difference on the edge in the AI era.