NewAWS Loft · SF · Jul 9, 2026

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

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NEURATENSOR SDK

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.

Timelapse · 2024 → Today

Two years. A new computing substrate.

09/9
Release
24mo
Concept → silicon
Apr 2026· Today
Live

NeuratronLLM-Edge 4B

First 4-billion-parameter Neuramorphic foundation model. Air-gap enforced by the kernel. The entire stack lands as one product.

CAROLINE — 4B · air-gappedOpen product page

Click or hover any milestone to jump

Foundation Models

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.

Generation 1·Available now

NeuratronLLMEdge4B

Caroline

Hybrid SNN + SSM kernel on top of a 4B base, running fully air-gapped on a single Jetson AGX Orin. Adapts on the device.

Explore the model

Parameters

5.096B

Throughput

9.88tok/s

Vision

24.5FPS

Power

≤60W

Air-gapped
Hybrid neuromorphic
On-device adaptation
USPTO patent pending

NeuratronLLM-Edge · Generation 2

Larger context, multilingual, distilled vision-language

Soon

Micro-edge kernels

SNN-only inference for MCU-class targets

Soon
USE CASES

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

WHY NEURAMORPHIC

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

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.

INTELLECTUAL PROPERTY

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.

All technical content published on this site has been reviewed and sanitized to protect ongoing patent claims. For licensing or partnership inquiries regarding our IP portfolio, contact legal@neuramorphic.ai.

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.