DeepCube
Active

Inference accelerator

Acceleration, Computing, Custom
Deep Learning

Business Overview

DeepCube is an award-winning deep learning pioneer that provides the industry’s first software-based inference accelerator to drastically improve deep learning performance on existing hardware. Modeled after the way the human brain develops during childhood, DeepCube’s patented technology is the first to be purpose-built for deployment of deep learning models on data centers and intelligent edge devices. Its proprietary framework can be deployed on top of any existing hardware, resulting in drastic speed improvement and memory reduction.

Led by a team of experienced deep learning researchers and developers, DeepCube has patented numerous innovations, including methods for faster and more accurate training of deep learning models, and drastically improved inference performance.

 

Founded
January 2018
Employees
20
Business model
B2B
Offering type
Software
Funding stage
Series A
Revenue status
Revenue Generating
Total funding
$12 Million
Sectors
Acceleration, Computing, Custom, Data Center, Edge Computing, Technologies

Founders

DeepCube
Eli David
CTO
Serial Entrepreneur AI Expert
DeepCube
Yaron Eitan
CEO

Board Members and Advisors

DeepCube
Michael Zimmerman
Advisor
DeepCube
Mohsen Moazami
Advisor

Funding Rounds

Calculated as the average ratio between the current funding round amount raised and the previous funding round amount raised. Note that 'plus' rounds are summed together. i.e. Series A = Series A and Series A+.
Funding Growth Multiple
1.8x

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

September 2020
Series A
$7 M

AI Technology Stack

AI Description

Inference-Focused: Deep Learning Platform. DeepCube enables intelligent edge devices to make truly autonomous decisions. DeepCube’s proprietary platform generates neural networks that use up to 100x less processing power and memory, enabling new opportunities. DeepCube additionally provides consulting services to its clients for the whole process of training and deployment of deep learning models on edge devices.

AI employees
3
AI application
Horizontal AI
AI types
Deep Learning
AI hardware
ASIC, CPU, GPU
AI inference
Cloud, Edge Devices, On-Premise

In The News

Deep Learning on steroids: Koch Disruptive Technologies gets in on DeepCube’s $7M Series A | Geektime

September 25, 2020

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