CRW Innovations

Crw Innovations

Information Technology And Services, 4415 Antrim Ct, Columbia, Maryland, 21001, United States, 11-50 Employees

cliftonroland.com

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Who is CRW INNOVATIONS

CRWI is an emerging small business that provides software & systems development, network analysis, custom algorithm development, and cyber security services. We currently develop analytic...

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  • 4415 Antrim Ct, Columbia, Maryland, 21001, United States Headquarters: 4415 Antrim Ct, Columbia, Maryland, 21001, United States
  • 2010 Date Founded: 2010
  • 11-50 Employees: 11-50
  • dollar-icon Revenue: Under $1 Million
  • tech-icon Active Tech Stack: See technologies

industries-icon Industry: Information Technology and Services

SIC SIC Code: 7379

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Frequently Asked Questions Regarding CRW Innovations

Answer: CRW Innovations's headquarters are located at 4415 Antrim Ct, Columbia, Maryland, 21001, United States

Answer: CRW Innovations's official website is https://cliftonroland.com

Answer: CRW Innovations's revenue is Under $1 Million

Answer: CRW Innovations's SIC: 7379

Answer: CRW Innovations has 11-50 employees

Answer: CRW Innovations is in Information Technology and Services

Answer: CRW Innovations contact info: Phone number: Website: https://cliftonroland.com

Answer: CRWI is an emerging small business that provides software & systems development, network analysis, custom algorithm development, and cyber security services. We currently develop analytics and network analysis for several organizations within the Department of Defense. We provide algorithms in JAVA, PERL, and C/C++ to support data mining and pattern recognition. Our core algorithm and network forensics comes form 10 years of experience in network intrusion detection R&D supporting forward deployed wireless networks. We also possess over 10 years experience in network infrastructure design, integration, and installation. CRWI is currently focused on providing game changing solutions supporting the nations cybersecurity initiatives and the mobile arena. We have investigated and implemented models that predict network behaviors using statistical as well as behavioral techniques

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