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CLOSTRA INC

Company Information
Address
1221 BRICKELL AVE STE 900
MIAMI, FL 33131-3800
United States


https://clostra.com

Information

UEI: G5CTKNN62KG5

# of Employees: 28


Ownership Information

HUBZone Owned: No

Socially and Economically Disadvantaged: No

Woman Owned: No



Award Charts




Award Listing

  1. MOBILEMESH: Delay-Tolerant Mobile Mesh Networking

    Amount: $162,477.00

    The problem is clear: battlefield conditions often result in degraded network communications or situations where there is no network available at all. This results in significant harm to effective com ...

    SBIRPhase I2019Department of Defense Defense Health Agency
  2. METHODS TO MINIMIZE VR SICKNESS

    Amount: $74,995.00

    CLOSTRA’s Phase I efforts will include a detailed feasibility study of our virtual reality (VR) Sickness (VRs) identification and amelioration program. We expect our program to have wide applic ...

    SBIRPhase I2019Department of Defense Air Force
  3. DEEP FOCUS: USING DEEP LEARNING TO DISCERN TARGETS IN CLUTTERED RADAR

    Amount: $990,681.40

    Deep Focus applies deep learning neural networks to Apache Fire Control Radar (FCR) targeting and target identification, with applicability to related systems. Recent innovations in deep learning theo ...

    SBIRPhase II2019Department of Defense Army
  4. Network Measurement and Congestion Analysis

    Amount: $224,965.00

    Network operators, within and outside the Federal Government, gather a large amount of data about their networks using sophisticated collection tools- In particular, the Department of Energy operates ...

    SBIRPhase I2018Department of Energy
  5. DEEP FOCUS: USING DEEP LEARNING TO DISCERN TARGETS IN CLUTTERED RADAR

    Amount: $149,785.98

    Deep Focus applies deep learning neural nets to Apache Fire Control Radar (FCR) targeting and target identification, with applicability to related systems. Recent innovations in deep learning theory a ...

    SBIRPhase I2018Department of Defense Army
  6. DLeN: Deep Learning for standoff detection of Special Nuclear Material

    Amount: $999,566.00

    Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of Go ...

    SBIRPhase II2018Department of Defense Defense Threat Reduction Agency
  7. Machine learning for standoff detection of Special Nuclear Material (SNM)

    Amount: $149,965.00

    "Deep Learning for standoff detection of Special Nuclear Material (DLeN) applies the same deep learning techniques that allow computers to beat human performance in image recognition and the game of G ...

    SBIRPhase I2017Department of Defense Defense Threat Reduction Agency
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