No hardware ownership
No hardware ownership
Cloud modules
NeuroCompute Cloud Modules
Remote experimental compute service for memristive hardware. Select a module, upload your dataset and Python script, run the experiment remotely and receive structured results.
How it works
Customer uploads a dataset and Python script. The local server prepares the device, runs the experiment, collects output signals and returns structured results.
Upload
Local server
Device state
Run pulses
Collect output
Results
No local calibration
No local calibration
Repeatable remote runs
Repeatable remote runs
Device reset or preparation for the next customer
Device reset or preparation for the next customer
Structured results and experiment logs
Structured results and experiment logs
Initial modules
Spinal Cord Twin / CPG
Waitlist-onlyA hardware-supported model for spinal rhythm generation, gait dynamics and stimulation-response experiments.
Gait dynamicsCentral pattern generatorsNeurorehabilitation research
Best for
- • Neurorehabilitation research
- • Spinal cord modeling
- • Neuroprosthetics
- • Stimulation-response workflows
STDP Learning
Waitlist-onlyA hardware learning module where spike timing changes synaptic weight, demonstrating hardware that learns.
Bio-inspired learningSynaptic plasticityAdaptive hardware
Best for
- • Bio-inspired learning
- • Adaptive synapse behavior
- • Simple neural learning experiments
- • Demonstrable hardware learning
Coming soon modules
Reservoir Computing
SoonProcesses temporal input signals using memristive dynamics as a reservoir.
Temporal signalsBiosignalsReservoir dynamics
Best for
- • Time-series data
- • Biosignals
- • Sensor data
- • Wearable AI
- • Low-complexity temporal classification
Associative Learning
SoonA hardware demonstration of paired-stimulus learning, similar to Pavlovian associative learning.
Paired stimulusLearning demoNon-digital AI
Best for
- • Education
- • Research demos
- • Grant storytelling
- • Intuitive explanation of non-digital AI
Bio-Signal Classifier
SoonClassification of EMG, gait, stimulation-response or other biomedical time-series signals.
EMGGaitBiomedical time series
Best for
- • Medtech startups
- • Rehabilitation technology companies
- • Wearable devices
- • Clinical research groups
Device Characterization
SoonRemote device-level experiments: I-V curves, retention, endurance, switching variability and multilevel conductance.
I-V curvesRetentionEndurance
Best for
- • Materials science groups
- • Semiconductor researchers
- • Organic electronics labs
- • Corporate R&D
Flexible / Wearable Synapse
SoonTesting flexible, low-voltage and potentially biocompatible organic memristive elements.
Flexible devicesLow voltageWearables
Best for
- • Wearable electronics
- • Prosthetics
- • Flexible electronics
- • Biomedical device research
Educational Demo
SoonA simple visual demonstration of how physical materials can learn.
TeachingWorkshopsDemos
Best for
- • Universities
- • Workshops
- • Public research programs
- • Innovation events
- • Investor demos
Third-party Device Modules
SoonA future route for integrating external memristive devices into the NeuroCompute.cloud platform.
External devicesPartner hardwareCustom modules
Best for
- • Labs
- • Device developers
- • Semiconductor partners
- • Hardware startups
Ready to test memristive hardware without building a lab?
Join the waitlist for early access to Spinal Cord Twin / CPG and STDP Learning modules, or talk to us about a research pilot or vertical application.