About
Spintronic Analog AI Accelerators for Low-Power Edge Inference
SpinEdge develops spintronic-based analog AI accelerators for energy-efficient, real-time edge computing. Its technology enables in-memory analog processing using non-volatile spintronic memory cells, reducing latency and power consumption by eliminating the need for digital conversion of analog sensor data. This architecture is designed for high-performance AI inference in edge environments such as autonomous vehicles, drones, and industrial systems.
By combining analog computing with spintronics, SpinEdge delivers substantial improvements in speed and energy efficiency for on-device neural network execution, supporting scalable, low-power AI applications at the edge.
Identity
| Name | SpinEdge |
|---|---|
| Slug | spinedge |
| Type / kind | startup |
| Source _id | pbGorsInIlw6Wleac9lSWb7RyTnSrl0yFMNavI2mEysXQHUZw5fxAJ |
Status
| Status | active |
|---|---|
| Last update | 2026-05-17 |
Location
| HQ country code | IL |
|---|---|
| HQ region/district | North District |
| HQ city | Haifa |
| HQ address | Haifa, Israel |
Web & social
| Website | https://spinedge.ai |
|---|---|
| https://www.linkedin.com/company/98478903 |
Classifications
Primary sector Industrial Technologies
Sub-sectors
Industrial TechnologiesMicroelectronics & Photonics Solutions
Technologies
Semiconductors & Electronics
Target customers
Industrial ManufacturingDiscrete IndustriesSemiconductors & Electronics
Business models
B2B
Tags
semiconductors
Funding
| Total raised | — |
|---|---|
| Current stage | Pre-Funding |
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