$120.58M
Department of Defense · Department of the Army
RESEARCH AND DEVELOPMENT EFFORT TO DESIGN AND DEVELOP PROTOTYPES TO ARTIFICIAL INTELLIGENCE/MACHINE LEARNING ALGORITHMS.
Federal AI contracts: 2020
23 AI/ML contracts · $459.63M total · across 6 agencies and 21 vendors.
Top vendors in 2020
- ECS FEDERAL, LLC — $120.58M (1)
- TUKNIK GOVERNMENT SERVICES LLC — $106.73M (1)
- SCALE AI, INC. — $105.55M (1)
- SWISH DATA CORPORATION — $47.80M (1)
- PERATON LABS INC — $16.60M (1)
- RTX BBN TECHNOLOGIES, INC. — $14.28M (2)
- MASSACHUSETTS INSTITUTE OF TECHNOLOGY — $6.78M (1)
- STRATEGIC ANALYSIS, INC. — $6.65M (1)
- BLUEHALO LLC — $6.57M (1)
- LONGSHORTWAY INC. — $5.29M (1)
Top agencies in 2020
- Department of Defense — $303.35M (16)
- Department of the Interior — $106.73M (1)
- Department of Veterans Affairs — $47.80M (1)
- Department of Transportation — $921K (3)
- Department of Commerce — $583K (1)
- Department of Homeland Security — $249K (1)
Biggest awards of 2020
$106.73M
Department of the Interior · Departmental Offices
INFORMATION TECHNOLOGY (IT), ARTIFICIAL INTELLIGENCE (AI), AND MACHINE LEARNING (ML) PROGRAMMATIC SUPPORT SERVICES FOR THE DEPARTMENT OF DEFENSE CHIEF INFORMATION OFFICER (DOD CIO) JOINT ARTIFICIAL INTELLIGENCE CENTER (JAIC)
$105.55M
Department of Defense · Department of the Army
THE CONTRACTOR SHALL PERFORM RESEARCH, DEVELOPMENT, DESIGN, CONFIGURATION, IMPLEMENTATION, AND TESTING OF MACHINE LEARNING ALGORITHM IN ACCORDANCE WITH THE TASKS OUTLINED IN THEIR PROPOSAL.
$47.80M
Department of Veterans Affairs · Department of Veterans Affairs
SCIENCE LOGIC ARTIFICIAL INTELLIGENCE OPERATIONS (AIOPS) SOLUTION
$16.60M
Department of Defense · Defense Advanced Research Projects Agency
FAST NETWORK INTERFACE CARDS (FASTNICS) PROGRAM WILL SPEED UP APPLICATIONS LIKE DISTRIBUTED TRAINING OF MACHINE LEARNING CLASSIFIERS BY 100X THROUGH DEVELOPMENT, IMPLEMENTATION, INTEGRATION, AND VALIDATION OF NOVEL, CLEAN-SLATE NETWORK SUBSYSTEMS.
$12.78M
Department of Defense · Defense Contract Management Agency
FAST NETWORK INTERFACE CARDS (FASTNICS) PROGRAM WILL SPEED UP APPLICATIONS LIKE DISTRIBUTED TRAINING OF MACHINE LEARNING CLASSIFIERS BY100X THROUGH DEVELOPMENT, IMPLEMENTATION
Department of Defense · Defense Advanced Research Projects Agency
GUARANTEEING AI ROBUSTNESS AGAINST DECEPTION (GARD) - DEVELOP A NEW GENERATION OF DEFENSES AGAINST DECEPTION ATTACKS ON MACHINE LEARNING (ML).
$6.65M
Department of Defense · Department of the Navy
HUMAN SYSTEMS INTEGRATION CONSIDERATIONS WITH ARTIFICIAL INTELLIGENCE / MACHINE LEARNING TECHNOLOGIES
$6.57M
Department of Defense · Department of the Air Force
MACHINE LEARNING BATTLE MANAGER
$5.29M
Department of Defense · Department of the Air Force
MACHINE LEARNING FOR INTELLIGENCE COMMUNITY
$5.26M
Department of Defense · Department of the Air Force
DESIGN.R - ARTIFICIAL INTELLIGENCE (AI)-ASSISTED CYBER PHYSICAL SYSTEMS (CPS) DESIGN
$4.85M
Department of Defense · Department of the Air Force
UNM COSMIAC MACHINE LEARNING TOOLSET
$4.73M
Department of Defense · Defense Contract Management Agency
THIS EFFORT WILL PROVIDE A GENERIC FRAMEWORK FOR APPLICATIONS OF RECENTLY DEVELOPING CONCEPTS, SUCH AS DIGITAL TWINS AND ARTIFICIAL INTELLIGENCE (AI), TO NAVAL RESEARCH AND ENGINEERING
Department of Defense · Department of the Army
C5ISR INTEGRATED OPERATIONS FOR HIGH PERFORMANCE COMPUTING - MACHINE LEARNING
$1.50M
Department of Defense · Defense Contract Management Agency
DEFENSIVE ANALYSIS AND EXPLORATION IN MACHINE LEARNING
$1.33M
Department of Defense · Defense Advanced Research Projects Agency
THE CONTRACTOR SHALL PROVIDE RESEARCH IN SUPPORT OF THE COMPETENCY-AWARE MACHINE LEARNING (CAML)PROGRAM.
$1.13M
Department of Defense · Department of the Navy
RESEARCH AND DEVELOPMENT SERVICES - ADAPTIVE MACHINE LEARNING
$985K
Department of Defense · Department of the Air Force
MACHINE LEARNING FOR MULTIMODAL SENSING AND MULTILEVEL FUSION DATA ANALYTICS
Department of Commerce · National Institute of Standards and Technology
ARTIFICIAL INTELLIGENCE WORKSHOPS
Department of Transportation · Federal Railroad Administration
THE OBJECTIVE OF THIS PROJECT IS TO DEVELOP AN INTELLIGENT RISK ASSESSMENT AND PREDICTION SYSTEM (I-RAPS) THAT WILL INTEGRATE SELF-LEARNING ARTIFICIAL INTELLIGENCE AND DEEP NEURAL NETWORK DECISION-MAKING MODELS, TRACK INSPECTION DATA, VEHICLE INFORMA
Department of Transportation · Federal Railroad Administration
THE OBJECTIVE OF THIS PROJECT IS TO DEVELOP A DATA ANALYSIS PLATFORM TO FACILITATE THE ASSESSMENT OF DEFECT DETECTION ON TRACK SYSTEMS BY (1) INVESTIGATING MACHINE LEARNING TECHNIQUES TO ENHANCE AUTOMATION AND FACILITATE REDUCED MANUAL LABOR FOR TRAC
Department of Transportation · Federal Railroad Administration
DEVELOP I-ASAP FOR CONTINUOUS, REAL-TIME MONITORING AND RECOGNITION BASED ON ADVANCED COMPUTER VISION AND IMAGE ANALYSIS, ARTIFICIAL INTELLIGENCE (AI), EDGE COMPUTING, AND INFORMATION SHARING WITH BOTH LOCAL LAW ENFORCEMENT AND RAILROADS THROUGH SE
$249K
Department of Homeland Security · U.S. Coast Guard
AUTOMATIC IDENTIFICATION SYSTEM MACHINE LEARNING