1) In- and intra-operational
2) BioFeedback SoCs
3) On-site implant
RISC-V architecture
Highly efficient built-in computation engines for biosignal data processing
Deterministic latency for high-efficiency biofeedback
Data interface compatible with BrainFlow, Timeflux and others
High level API for data processing pipeline specification
Optimizing dataflow compiler for mapping algorithms to BSPU hardware
Latency and power estimation and optimization
Biomedical equipment and implants (for mental & healthcare, stroke rehabilitation, epilepsy, etc.)
Professional Trainings (sports, aviation, crew and others)
Personal fitness and well-being
Metaverse, Entertainment
Attention and focus estimation (market research, assisted driving, etc.)