Business Overview
2019
Founded
86
Team
$55.1M
Funding
3
# Rounds
9
# Investors
1.2 years
Time Since Last Round
Deci enables deep learning to live up to its true potential by using AI to build better AI. With the company’s end-to-end deep learning acceleration platform, AI developers can build, optimize, and deploy faster and more accurate models for any environment, including cloud, edge, or mobile.
With Deci’s platform, developers can increase deep learning model inference performance by 3x-15x, on any hardware, while still preserving accuracy. This translates directly into new use cases on limited hardware, substantially shorter development cycles, and reduced compute costs by up to 80%.
The platform is powered by Deci’s Automated Neural Architecture Construction (AutoNAC) technology, an algorithmic optimization engine that squeezes maximum utilization out of any hardware. The AutoNAC engine contains a Neural Architecture Search (NAS) component that redesigns a given trained model’s architecture to optimally improve its inference performance (throughput, latency, memory, etc.) for specific target hardware while preserving its baseline accuracy.
Deci achieved a record-breaking 11.8x accelerated inference speedup on Intel CPUs at MLPerf Industry Benchmark and has been named to the CBInsights top 100 AI companies. Led by a team of world-class deep learning experts, Deci lets AI developers focus on what they do best – creating innovative AI-based solutions for our world’s most complex problems.
Employee Count
7%
3-Month CAGR
16.4%
6-Month CAGR
35.4%
12-Month CAGR
Employee counts updated on a monthly basis.
Lists
News
Stock Chart
Founders (3)
ㅤName | Title | Contact | |
---|---|---|---|
![]() | ㅤRan El-Yaniv | Chief Scientist | 1 |
![]() ![]() ![]() | ㅤJonathan Elial | COO | 1 |
![]() ![]() ![]() | ㅤYonatan Geifman | CEO | 1 |
Board and Advisors (3)
ㅤName | Title | Contact | |
---|---|---|---|
![]() ![]() ![]() | ㅤPhilippe Schwartz | Partner and Board Member | 1 |
![]() ![]() ![]() | ㅤLiad Rubin | Partner and Board Member | 1 |
![]() ![]() ![]() | ㅤDanny Hadar | Managing Director, Board Member and Board Observer | 1 |
Funding Rounds (3)
M&A Events (0)
Investors (11)
ㅤInvestor Name | Investor Type | AUM ($) | |
---|---|---|---|
![]() ![]() ![]() | ㅤEmerge | Venture Capital | $130M |
![]() ![]() ![]() | ㅤFort Ross Ventures | Venture Capital | $535M |
![]() ![]() ![]() | ㅤICON | ||
![]() ![]() ![]() | ㅤICON | Accelerator | $11.6M |
![]() ![]() ![]() | ㅤICON Fund | Venture Capital | |
![]() ![]() ![]() | ㅤInsight Partners | Venture Capital | $90B |
![]() ![]() ![]() | ㅤJIBE Ventures | Venture Capital | |
![]() ![]() ![]() | ㅤSamsung NEXT | Corporate Venture Capital | |
![]() ![]() ![]() | ㅤSquare Peg Capital | Venture Capital | $1.3B |
![]() ![]() ![]() | ㅤVelocity Ventures | Venture Capital | |
![]() ![]() ![]() | ㅤVintage Investment Partners | Investment Firm, Venture Capital | $2.81B |
Patents (0)
Research Publications (0)
Certifications (0)
AI Technology Stack
14
AI Team
Deci’s deep learning platform is powered by Deci’s Automated Neural Architecture Construction (AutoNAC) technology, an algorithmic optimization engine that squeezes maximum utilization out of any hardware. The AutoNAC engine contains a Neural Architecture Search (NAS) component that redesigns a given trained model’s architecture to optimally improve its inference performance (throughput, latency, memory, etc.) for specific target hardware while preserving its baseline accuracy.
Jobs (0)