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Intelligent Automation, Inc.

Company Information
15400 Calhoun Dr Ste 190
Rockville, MD 20855-2814
United States



# of Employees: 200

Ownership Information

HUBZone Owned: No

Socially and Economically Disadvantaged: No

Woman Owned: Yes

Success Stories

  1. SBIR-STTR-Success: Intelligent Automation Inc.

    The Air Force has a new tool in its arsenal to combat cyberattacks.With support from the Air Force Small Business Innovation Research/Small Business Technology Transfer Program, Maryland-based Intelligent Automation Inc. developed the Self-shielding Dynamic Network Architecture. Also known as SDNA...

Award Charts

Award Listing

  1. DOEYK: Detecting Objects with Enhanced YOLOv3 and Knowledge Graph

    Amount: $1,100,000.00

    Current state-of-the-art object detection algorithms are almost exclusively based on Deep Convolutional Neural Network (DCNN). These algorithms all require a large number of labeled examples for each ...

    STTRPhase II2021Department of Defense Defense Threat Reduction Agency
  2. Hands-Free Kinetic System for Medical Simulation

    Amount: $1,550,000.00

    Today, medical simulators such as medical mannequins play an essential role in training combat medics, doctors, nurses, and other military medical personnel. The more realistic those medical simulator ...

    SBIRPhase II2020Department of Defense Defense Health Agency
  3. (4) Machine Learning based Cyber Threat Investigation and Risk Assessment

    Amount: $150,000.00

    To apply Navy’s CYBERSAFE concept to a near real-time environment, traditional cyber defense tools are not sufficient to achieve reasonable performance or catch all the security related anomalies. M ...

    SBIRPhase I2020Department of Defense Navy
  4. (2) PUMA: Perception-aware UUV via Machine-learning-enabled Autonomy

    Amount: $150,000.00

    In order for UUVs to be truly effective in the future maritime warfare, they have to be fully autonomous. They have to be self-sufficient, being able to make their own decisions and overcome problems ...

    SBIRPhase I2020Department of Defense Navy
  5. (2) Training-Assessment-Feedback Loop to Empower the Information Warfighter

    Amount: $150,000.00

    The information environment has become a battlefield for adversaries of the United States and its allies. Open-source intelligence analysts need training to learn effective methods to counter adversar ...

    SBIRPhase I2020Department of Defense Navy
  6. EPOC: Efficient Power Controller for Small Unmanned Air Vehicles

    Amount: $750,000.00

    The increasing efficiency and versatility of small Unmanned Air Vehicles (sUAVs) make them ideal choice for numerous missions in both military and civil theater. Advancements in manufacturing miniatur ...

    SBIRPhase II2020Department of Defense Air Force
  7. GUMP: General Urban Area Microclimate Predictions Tool for Small UAS

    Amount: $750,000.00

    To successfully integrate small UAS (sUAS) operations in the NAS it is essential to improve the microscale weather prediction. sUAS weigh less than 55 lbs. and have the risk of losing control in prese ...

    SBIRPhase II2020National Aeronautics and Space Administration
  8. Wireless Timing Synchronization (WITIS) for Multi-Static Radar Systems

    Amount: $734,479.00

    IAIrsquo;s proposed WITIS technology is GPS independent and capable of providing timing and synchronization for multi-static systems with sub-nanosecond accuracies, while staying within the SWaP goals ...

    SBIRPhase II2020National Aeronautics and Space Administration
  9. Deep Learning Processing Subsystem (DLPS): A HPSC-Compatible Deep Learning Coprocessor

    Amount: $125,000.00

    In this proposed effort, we propose to develop a Deep Learning Processing Subsystem (DLPS) solution for HPSC system. The DLPS solution can significantly improve the performance and energy efficiency o ...

    SBIRPhase I2020National Aeronautics and Space Administration
  10. Gaining Actionable Insights Through Neurocomputational Trajectory Segmentation and Clustering

    Amount: $125,000.00

    The key innovation of this project is the development of a NEurocomputational Trajectory Segmentation and Clustering (NETS) tool that will apply segmentation, explainable clustering, and unsupervised ...

    SBIRPhase I2020National Aeronautics and Space Administration
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