The Deep Learning Development Platform

Our mission is to empower AI developers with powerful tools for building innovative AI based solutions.

Crafting the Next Generation of AI

Artificial intelligence lies at the core of the fourth Industrial Revolution.

Our goal at Deci is to enable more deep learning models to fully perform in production and fulfill their true potential.

We took an innovative approach, using AI itself to craft the next generation of deep learning.

A multi-talented team with a shared passion for technology

Founded in 2019 by world recognized experts in AI, with an innate passion for creative innovation, we forged a talented team of deep learning researchers and engineers.

Deci’s team consists of top AI researcher with advanced academic degrees from prestigious universities, as well as exceptional backgrounds in elite units and leading tech companies.

Our experts are fully dedicated to advancing the state-of-the-art and have co-authored dozens of publications in
top-tier machine learning venues such as NeurIPS, ICML, ICLR, CVPR, and ACL.

Deci at a Glance

2019

Founding date

$55.1M

Total funding

12,355

Improvements in AI
models’ performance

653

Growing ecosystem of
customers, DL
community, partners

Industry leaders partner with Deci

Meet Our Team

Talor Abramovich

Backend Engineer

Shay Ahron

Deep Learning Engineer

Prof. Nir Ailon

Research Scientist

Omer Argov

Deep Learning Software Engineer

Nave Assaf

Deep Learning Software Engineer

Ofer Baratz

Deep Learning Product Manager

Natan Bagrov

Deep Learning Research Engineer

Dvir Ben Ami

VP Finance

Shani Ben Baruch

Deep Learning Engineer

Danielle Benchetrit

BI Analyst

Akhiad Bercovich

Deep Learning Research Engineer

Dan Bochman

Deep Learning Engineer, Customer Facing

Louis Dupont

Deep Learning Engineer

Prof. Ran El-Yaniv

Co-Founder & Chief Scientist

Jonathan (Joe) Elial

Co-Founder & COO

Yair Finkelstein

Director of Strategic Accounts

Mike Flynn

Sales Development Manager

Giorgi Gagnidze

Senior Frontend Engineer

Amnon Geifman

Deep Learning Research Engineer

Yonatan Geifman, PhD

Co-Founder & CEO

Amos Gropp

Deep Learning Research Engineer

Noy Guez

Financial Controller

Netanel Haber

Full Stack Developer

Ziv Ilan

Sales Engineer

Lior Kadoch

Deep Learning Research Engineer

Assaf Katan

VP Strategy & Business Development

Tomer Keren

Deep Learning Engineer

Eugene Khvedchenia

Deep Learning Engineer

Roi Koren

Full Stack Engineer

Dana Levy

VP People

Michael Lewis

Sales Development Representative

Paulene Lim

Marketing Manager

Avi Lumelsky

Deep Learning Software Engineer

Ofri Masad

Head of AI

Najeeb Nabwani

NLP Research Engineer

Yarden Nadam

HR Manager

Han Ooi

Sales Development Representative

Natalia Ozer​

Lead Bookeeper

Shani Perl

AI Product Manager

Yahel Pessi

IT System Admin

Omri Puny

Deep Learning Research Engineer

Yuval Reshef

Office Manager

Shai Rozenberg

Customer Facing Deep Learning Group Manager

Ran Rubin

DevOps Engineer

Harpreet Sahota

DevRel Manager

Racheli Salkin

VP Marketing

Debbie Schraibman

Demand Generation Manager

Ido Shahaf, PhD

Deep Learning Research Scientist

Eran Shahar

Deep Learning Engineer, Customer Facing

Tzahi Shemesh

Deep Learning Software Engineer

Yaniv Tager

Account Executive

Oren Tropp

Research Scientist

Borys Tymchenko, PhD

Deep Learning Research Engineer

Prof. Omri Weinstein

Research Scientist

Kate Yurkova

Deep Learning Engineer

Alexander Zhilko

DevOps Engineer

Ran Zilberstein

VP Engineering

Deci in the Press

Forbes Logo

Forbes

NVIDIA performance trounces all competitors who have the guts to submit to MLPerf inference 3.0

VentureBeat Logo

VentureBeat

Deci’s NLP model clocks 100,000 queries per second in latest MLPerf results

Fierce Electronics Logo

Fierce Electronics

Generative AI is driving a gold rush for performance tools

ComputerWeekly Logo

Computer Weekly

Deci claims breakthrough inference performance on Intel Sapphire Rapids

decinets-press3

Unite.AI

Deci’s Image Classification Models Discovered Using Far Less Computing Power Than Leading Tech

insideBIGDATA Logo

insideBIGDATA

Deci’s Natural Language Processing (NLP) model achieves breakthrough performance at MLPerf

Blog Featured Images for Social - 1920x1080

The Wall Street Journal

Insight partners links corporate tech chiefs with IT startups

Calcalist-1

CTech by Calcalist

Deci raises $25 million Series B to accelerate the productization of AI applications

TechCrunch5

TechCrunch

Deci lands $25M for tech that makes AI models more efficient

Deci_CB-Insights-PR3

CB Insights

Deci Named to the 2021 CB Insights AI 100 List of Most Innovative Artificial Intelligence Startups

InsideBigData

insideBIGDATA

Deci Launches Version 2.0 of its Deep Learning Development Platform, to Democratize the Power of NAS and Eliminate the AI Efficiency Gap

ZDNet

ZDNet

Bringing Deep Learning to your hardware of choice, one DeciNet at a time

TheNewStack

The New Stack

Deci Releases Open Source Deep Learning Training Library

VentureBeat-4

VentureBeat

Deci wants to help enterprises build computer vision models faster

TechCrunch-2

TechCrunch

Deci snaps up $21M for tech to build better AI models based on available data and compute power

decinets-press2

Datanami

Deci Shows a NAC for Automated Neural Net Construction

decinets-press1

EnterpriseAI

Deci’s DeciNets Image Classification Models Break Efficient Frontier

Deci-kisaco-PR-tile

Kisaco Research

Deci Named Market Leader in AI Software Optimization Solutions by Kisaco Research

Deci PR_AIThority0

AiThority

Deci and Intel Collaborate to Optimize Deep Learning Inference on Intel’s CPUs

Deci PR_EAI

EnterpriseAI

Intel CPUs Gaining Optimized Deep Learning Inferencing from Deci in New Collaboration

The Ultimate Guide to Inference Acceleration of Deep Learning-Based Applications

Learn 12 inference acceleration techniques that you can immediately implement to improve the speed, efficiency, and accuracy of your existing AI models.