Real-time intelligence
where it matters most
Deploy AI directly on cameras, robots, and edge devices. No cloud latency. No privacy risks. Lightning-fast inference.
Trusted by industry leaders






Edge AI that actually works
Production-ready SDK for deploying AI models on edge devices. Drop it into your PyTorch project and start running inference today.
We're building the infrastructure for the next generation of intelligent systems. From autonomous vehicles making split-second decisions to industrial robots operating in real-time, our SDK enables AI to run where it matters most: at the edge. No cloud dependency, no latency bottlenecks, just pure performance on commodity hardware.
Two years. A new computing substrate.
NeuratronLLM-Edge 4B
First 4-billion-parameter Neuramorphic foundation model. Air-gap enforced by the kernel. The entire stack lands as one product.
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Models that run where the cloud can't.
Air-gapped, hybrid neuromorphic LLMs designed for the edge. Inference, adaptation and tokenization happen on a single device. No outbound calls.
NeuratronLLMEdge4B
Hybrid SNN + SSM kernel on top of a 4B base, running fully air-gapped on a single Jetson AGX Orin. Adapts on the device.
Parameters
5.096B
Throughput
9.88tok/s
Vision
24.5FPS
Power
≤60W
NeuratronLLM-Edge · Generation 2
Larger context, multilingual, distilled vision-language
Micro-edge kernels
SNN-only inference for MCU-class targets
Deployed in production today
Real companies running real workloads on edge devices.
The future of AI isn't in the cloud, it's everywhere else. From manufacturing floors to city streets, from underwater drones to space satellites, intelligent systems need to make decisions in milliseconds, not after a round-trip to a data center. We're powering the autonomous systems that can't afford to wait.
Real-Time Video
Security cameras, autonomous vehicles, quality inspection systems
Robotics & IoT
Sensor fusion, motion planning, predictive maintenance
Audio Processing
Always-on voice assistants, acoustic monitoring, speech recognition
Event Cameras
Dynamic vision sensors, high-speed tracking
Battery-Powered
Drones, wearables, solar-powered edge nodes
Industrial
Manufacturing automation, quality control, predictive systems
Edge AI without compromise
Traditional AI frameworks force you to choose: performance, efficiency, or ease of use. We built a platform that delivers all three.
Our mission is to democratize edge AI. Every developer should be able to deploy intelligent systems without needing a PhD in computer architecture or access to massive cloud infrastructure. We're making edge AI accessible, efficient, and production-ready for everyone.
Ultra-Fast
Sub-25ms inference time
Energy Efficient
15-50W power budget
Private
Data never leaves device
Production-Ready
Deploy immediately
Performance that matters
Measured on real production workloads. Efficient, fast, and ready to deploy on edge devices today.
We don't optimize for benchmarks, we optimize for reality. Our technology is battle-tested in demanding real-world environments where milliseconds matter and power budgets are tight. From Jetson devices to industrial compute modules, NeuraTensor delivers consistent, predictable performance across diverse edge hardware platforms.
Protected by Patent Pending
Our Neuratron™ neuromorphic edge inference architecture is the result of years of original research. A U.S. provisional patent application has been filed with the USPTO covering core innovations in spiking neural network deployment on resource-constrained silicon.
SNN Inference Engine
INT8 spiking autoencoder running on $2 Cortex-M33 silicon with 5.15 ms deterministic latency.
Quantization Pipeline
Power-3 weighted scoring + per-layer symmetric quantization that survives INT8 deployment.
Edge Deployment Stack
End-to-end toolchain from PyTorch training to ARM Cortex-M binary with embedded scoring weights.
Ready to deploy edge AI?
NeuraTensor SDK ships as a binary library. Drop it into your PyTorch project and start running inference today.
Join the teams building the next generation of intelligent systems. Whether you're deploying to a single device or managing a fleet of thousands, we provide the tools, support, and infrastructure you need to succeed. Let's build the future of edge AI together.