Company Profile

Argo Science Corporation
Profile last edited on: 9/4/12      CAGE: 58GC3      UEI:

Business Identifier: NO Business Identifier is currently available for this company.
Year Founded
2006
First Award
2009
Latest Award
2009
Program Status
Inactive
Popularity Index
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Location Information

71 Cypress Way
Rolling Hills Estates, CA 90274
   (310) 292-7847
   info@argoscience.com
   www.argoscience.com
Location: Single
Congr. District: 33
County: Los Angeles

Public Profile

Argo Science Corp.specializes in several fields, including Counterterrorism, Cybersecurity, Financial Engineering, Remote Sensing, and others. The firm works with government and private networks with technology and expertise in: Stochastic methods in finance and financial engineering, Adaptive anomaly Intrusion Detection System, Advanced Hybrid Intrusion Detection System, integrating anomaly and signature-based detection methods, Sophisticated probabilistic modeling of networks, Change-point detection, isolation and hypothesis testing, Nonlinear filtering and prediction techniques for tracking terrorist activities, Object detection and tracking in cluttered environments, Spatiotemporal image processing with applications to clutter rejection; target detection and tracking, Nonlinear filtering for tracking dim objects, Super-stabilization, super-resolution and image enhancement for airborne surveillance applications, Information Integration and Fusion, Aggregate estimation, Optimal hypothesis testing and quickest change detection in distributed networks, Statistical methods for data processing, Analysis of Microarray Data and Segmentation for array-based comparative genomic hybridization (CGH) data analysis

Extent of SBIR involvement

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Synopsis: Awardee Business Condition

Employee Range
1-4
Revenue Range
Less than .5M
VC funded?
No
Public/Private
Privately Held
Stock Info
----
IP Holdings
N/A

Awards Distribution by Agency

Most Recent SBIR Projects

Year Phase Agency Total Amount
2009 1 DOE $99,999
Project Title: Hybrid Intrusion Detection System Integrating Anomaly and Signature Detection Methods

Key People / Management

Company News

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