Suspporting the scientific study and practice of lucid dreaming.
If you’ve ever been aware you were dreaming as you continued to dream, you’ve had a lucid dream. Our mission is to assist people to have lucid dreams, experience them with greater skill and frequency, and to dispel misinformation.
Lucid Dream Induction
We’re developing easy-to-use, comfortable, inexpensive sensors and peripherals for home use. These work with our software platform to sense physiological state and provide sensory cues during the REM sleep stage (e.g. low-intensity lights and sounds that dreamers can perceive while remaining asleep) for pairings with preparatory waking practices. The system is adaptable to support various strategies that peer-reviewed research has shown to be effective.
Smart software platform
Standardized local software receives data from common polysomnography (physiological sleep monitoring) sensor types and choreographs output to local hardware components that produce sensory stimuli. Lucid dreams can be signal-verified, and other subjective dream experiences can likewise be signaled and time-stamped alongside polysomnography data.
Local device software communicates via the Internet to a centralized cloud-based software platform to store data longer term and receive induction protocol and other software updates. Insights gleaned from larger data sets and multiple users can accelerate progress toward increasingly effective lucid dream induction. Likewise, experimental designs involving simple communication to/from lucid dreamers is possible.
For Dreamers
Intelligent software helps you learn the prerequisites and tune your induction approach. Software adapts to your sleep patterns and lucid dreaming experience level. Multiple tactics help you to not only achieve lucidity, but remain lucid longer.
For Researchers
A data collection platform enables you to access anonymized and opted-in usage information that you and your team can use to help you study the lucid dreaming state, design experiments and develop increasingly effective induction protocols.