DeepTech covers science-intensive technologies spanning flow control, quantum systems, and space infrastructure. These fields can enable new capabilities in computing, measurement, manufacturing, and exploration, while requiring substantial research and engineering.
Active flow control uses actuators and adaptive materials to influence airflow or liquid flow. It can improve aerodynamic performance and reduce drag, vibration, and energy use in vehicles and industrial systems.
This category covers generative AI models and retrieval-augmented generation, which connects model outputs to relevant external information. These approaches shape how organizations build AI systems that can respond to specialized questions with grounded, current context.
Quantum computing develops processors, algorithms, and error-control methods that use quantum effects for computation. Research focuses on making these systems reliable and identifying problems where they may offer practical value.
Quantum sensing uses quantum effects to measure physical signals, while related quantum networks can support secure communications. These technologies may enable sensitive measurements and new approaches to protecting information.
This category covers robots that act with varying degrees of autonomy, including humanoid machines and coordinated swarms. Advances matter as robotics moves into settings that require flexible interaction, collaboration, or operation at scale.
Space technologies support satellite communications, orbital safety, in-space manufacturing, and the use of local resources beyond Earth. They matter as more services and missions depend on reliable access to and operations in space.
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