Kuznech

Kuznech is a software that provides logo, object and content recognition product based on machine learning, neural network and pattern recognition.

Business Model:

Revenue: $5M

Employees: 11-50

Detailed Kuznech Information

Geographic Data

Kuznech headquarters map

Address: Novoroschinskaya street. 4,

City: Peters

State: FL

Zip: 196084

Country: US

Financial Info

Stage:

seed

Raised Last:

$300k

Raised Total:

$2M

Metrics

5,389,697Website Global Rank

1,579Website Monthly Traffic

Twitter Followers

Description

Kuznech is a software that provides logo, object and content recognition product based on machine learning, neural network and pattern recognition.

Contact Phone:

Contact Email:

Announced Date Company Transaction Money Raised
Announced Date Transaction Number of Investors Money Raised Lead Investors
8/2012 Seed Round 3 $700k Andrei Joosten
Pavel Cherkashin
Sasha Andreev
Andrei Joosten
Pavel Cherkashin
Sasha Andreev
10/2012 Grant 1 $18k IDCEE
IDCEE
6/2012 Grant 1 $12k BIT
BIT
8/2013 Seed Round $300k
8/2011 Seed Round 4 $1.2M Pavel Cherkashin
Sergey Gribov
Skolkovo Foundation
Valery Senko
Pavel Cherkashin
Sergey Gribov
Skolkovo Foundation
Valery Senko
Announced Date Name Price

Employee Departments

Employee States

Uniview Singapore VEID Logo
Uniview Singapore VEID
Revenue: 0 - 100000
Employees:
Industry: Software
Details
Konkuk University Medical Center Logo
Konkuk University Medical Center
Revenue: 0 - 100000
Employees: 51 - 500
Industry: Education
Details
Daemon Technologies Logo
Daemon Technologies
Revenue: 0 - 100000
Employees: 1 - 10
Industry: Blockchain
Details
Ace International Trade Logo
Ace International Trade
Revenue: 0 - 100000
Employees: 11 - 50
Industry: Industrial
Details
An Hòa Communications Logo
An Hòa Communications
Revenue: 0 - 100000
Employees: 1 - 10
Industry: Advertising
Details

You know, we could be doing all this for you..

CoBee's Logo

Be ahead of your competition

  • Realtime intelligence
  • Automated contact tracking
  • Unmatched insights
  • Eliminate manual research