Object Edge Revenue and Competitors

Location

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Total Funding

Estimated Revenue & Valuation

  • Object Edge's estimated annual revenue is currently $28.1M per year.(i)
  • Object Edge's estimated revenue per employee is $159,500

Employee Data

  • Object Edge has 176 Employees.(i)
  • Object Edge grew their employee count by 3% last year.

Object Edge's People

NameTitleEmail/Phone
1
Founder & ChairmanReveal Email/Phone
2
CEOReveal Email/Phone
3
VP Marketing, GlobalReveal Email/Phone
4
VP, Technical Program Management & Advisory ServicesReveal Email/Phone
5
Head Experience DesignReveal Email/Phone
6
Head US Talent AcquisitionReveal Email/Phone
7
VP Data EngineeringReveal Email/Phone
8
VP SalesReveal Email/Phone
9
Chief Data Officer and Head - Analytics and Data ScienceReveal Email/Phone
10
Director North America Enterprise StrategiesReveal Email/Phone
Competitor NameRevenueNumber of EmployeesEmployee GrowthTotal FundingValuation
#1
$2M20N/AN/AN/A
#2
$2.3M1919%N/AN/A
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What Is Object Edge?

Object Edge, founded in 1995, specializes in custom development and delivery of component based large-scale IT and e-Business information systems used by banking, finance and trade institutions worldwide.Object Edge focuses on end-to-end solutions, specifically on distributed e-Business systems that interface with legacy systems. Object Edge application architects are skilled in e-Business technologies, object and component technology, transaction systems and database technologies. We are experts at the problems and issues associated with distributed Business-to-Business, Business-to-Client and traditional client/server computing.

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Total Funding

176

Number of Employees

$28.1M

Revenue (est)

3%

Employee Growth %

N/A

Valuation

N/A

Accelerator

Object Edge News

2022-04-20 - A Look at the Textbooks Rejected by the Florida Department of Education

A rejected geometry textbook from the publisher Study Edge, ... has become an object of alarm among those attacking efforts to teach a more...

2022-04-20 - Microsoft AI Researchers Develop ‘Ekya’ To Address The Problem Of Data Drift On The Edge Compute Box And Enables Both Retraining And Inference To Co-Exist On It

Deep neural network (DNN) models for object recognition and ... Video analytics deployments send the videos to on-premises edge servers.

2022-04-17 - FOMO is a TinyML neural network for real-time object detection

A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it possible...

Company NameRevenueNumber of EmployeesEmployee GrowthTotal Funding
#1
$31.2M17717%N/A
#2
$64M179-7%N/A
#3
$54.6M1843%N/A
#4
$43M1869%N/A
#5
$25.9M196-2%N/A