Memory + processing
Memory and processing can happen in one physical element.
Neuromorphic cloud · Organic memristors · Experimental hardware
Cloud access to brain-like hardware
Run experiments on organic memristor-based neuromorphic devices without building your own hardware lab.
A specialized compute layer for selected adaptive, temporal, bio-inspired and low-energy workloads. Not a general GPU-cloud replacement.
Start remotely
Start experimenting with memristive hardware remotely
Upload your dataset and Python script. Our 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
Why brain-like hardware matters
Conventional digital AI is powerful, but it is not always efficient for dynamic, adaptive and temporal workloads. Organic memristors offer a different path: physical devices that remember previous signals and change behavior over time.
Adaptive behavior
Device state can change over time in response to signals.
Temporal workloads
Promising for time-dependent and bio-inspired computation.
Selected low-energy AI
A route toward efficient AI for specific workloads, not a universal replacement.
Starting with two clear 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
Who should use it?
Built first for medtech, healthtech and research teams that work with biological signals and adaptive systems.
Medtech and Healthtech startups
Medtech and Healthtech startups
Neurostimulation companies
Neurostimulation companies
Wearable and biosignal startups
Wearable and biosignal startups
Academic researchers
Academic researchers
Corporate R&D teams
Corporate R&D teams
Clinical research partners
Clinical research partners
Grant consortia
Grant consortia
Strategic partners and investors
Strategic partners and investors
Latest updates
View all updatesResearch publicationJune 2026
Printed organic memristive device article published in Biomimetics
Victor Erokhin and co-authors published new work on printed organic memristive devices on rigid and flexible supports for neuromorphic applications.
Read the articleCompany milestoneJune 2026
NeuroCompute.cloud project launches
NeuroCompute.cloud is now preparing cloud access to organic memristor-based neuromorphic hardware for selected research, medtech, healthtech and R&D partners.
Join the waitlistResearch publicationApril 2026
Critical analysis of energy consumption in neuro-computational systems
Published in IEEE Access, this study benchmarks energy consumption across GPUs, NPUs, FPGAs, spiking processors, memristive devices, and biological neural systems.
Read the articleReady 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.