ObjectVideo Labs Revenue and Competitors
Estimated Revenue & Valuation
- ObjectVideo Labs's estimated annual revenue is currently $3.8M per year.
- ObjectVideo Labs's estimated revenue per employee is $116,000
Employee Data
- ObjectVideo Labs has 33 Employees.
- ObjectVideo Labs grew their employee count by 43% last year.
ObjectVideo Labs's People
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ObjectVideo Labs Competitors & AlternativesAdd Company
Competitor Name | Revenue | Number of Employees | Employee Growth | Total Funding | Valuation |
---|---|---|---|---|---|
#1 | $0.1M | 6 | 0% | $15.5M | N/A |
#2 | $14.9M | 103 | -1% | N/A | N/A |
#3 | $339.8M | 1639 | -20% | N/A | N/A |
#4 | $125.8M | 694 | -15% | N/A | N/A |
#5 | $112.4M | 620 | 2% | N/A | N/A |
#6 | $33.4M | 214 | -23% | $21.1M | N/A |
#7 | $23.2M | 149 | -12% | $21.7M | N/A |
#8 | $43.1M | 270 | -10% | N/A | N/A |
#9 | $32.7M | 205 | -10% | N/A | N/A |
#10 | $26.3M | 165 | -35% | N/A | N/A |
What Is ObjectVideo Labs?
Founded in 1998 by world-renowned scientists and program managers from the Defense Advanced Research Projects Agency (DARPA), ObjectVideo Labs develops highly customized video intelligence solutions for its clients. Our commercial software is recognized as a global market leader in providing intelligent video analytics to leading IP Camera and Video Management System manufacturers. ObjectVideo Labs released its first commercial product more than a decade ago and continues to advance the science of intelligent video with ongoing research and development in areas such as intelligent tagging of consumer and commercial video, machine learning, and mobile video intelligence. Our R&D Services team is one of the premier global research organizations in the fields of computer vision and geo-location; many hold PhD’s and are internationally known for their research and writings in the field. Our team also includes leading minds in Big Data management and Software Engineering. Our team of researchers and scientists tackle the toughest problems our clients can throw at us. Two of the fastest growing sources of Big Data are Imagery and GPS locations. Ingesting this data, making sense of it, structuring it, combining it and building the interfaces that make it easy for users to understand, share and make decisions – these are the kinds of problems we work on solving every day.
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Total Funding
33
Number of Employees
$3.8M
Revenue (est)
43%
Employee Growth %
N/A
Valuation
N/A
Accelerator
Company Name | Revenue | Number of Employees | Employee Growth | Total Funding |
---|---|---|---|---|
#1 | $2.8M | 35 | -3% | N/A |
#2 | $3M | 38 | 9% | N/A |
#3 | $4.9M | 42 | 2% | N/A |
#4 | $3.5M | 43 | -2% | N/A |
#5 | $9.9M | 46 | 10% | N/A |