Signal Analysis and Processing
Our team has extensive experience developing signal processing pipelines for a wide range of neural (and other!) bio-signals, from intracortical electrodes to ECoG, fNIRS, EMG and more. We have designed and optimized digital signal processing strategies for various systems, ranging from embedded systems to cloud-based platforms.
Machine Learning
AE Studio boasts extensive experience in developing machine learning services for neurotechnology and business applications. Our solutions consistently deliver industry-leading ML performance, as evidenced by our top ranking in every category of the first Neural Latents Benchmark competition. In addition to superior performance, our solutions are designed with commercial scalability and industry best practices in mind.
Companion Apps
User experience is crucial for a successful product, whether it's in neurotechnology, medical, web, or app development. Our team of user experience experts and product developers will collaborate and innovate with you to create amazing companion apps for your neurotech product.
Real-Time Processing
Many neurotechnology applications require low-latency, real-time processing of neural signals. Our team has experience developing real-time processing pipelines for a variety of neurotechnology applications, from brain-computer interfaces to closed-loop neurostimulation systems.
Neuroscience Experiment and Analysis Design
We believe that analysis and experimentation go hand in hand. To that end, we offer a holistic approach to our services, utilizing an iterative agile methodology to work closely with you in designing scientifically-robust experiments that ensure the conclusions drawn from our analysis and the software developed for your product meet your needs and delight your users.
Standards, Privacy, and Scaling
Neurotechnology is improving the quality of human life. We believe that building neurotechnology based on common standards with a strong commitment to user privacy will accelerate the benefits of neurotech. Therefore, we work collaboratively with the neuroscience community to develop standards and secure methods of analyzing neural data (we won a best paper award at the most recent NeurIPS conference!).