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The Award database is continually updated throughout the year. As a result, data for FY24 is not expected to be complete until March, 2025.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

The SBIR.gov award data files now contain the required fields to calculate award timeliness for individual awards or for an agency or branch. Additional information on calculating award timeliness is available on the Data Resource Page.

  1. Meaning-Aligned Record Synthesis for Training Emerging Capabilities (MARSTEC)

    SBC: SOAR TECHNOLOGY, LLC            Topic: N18AT003

    Operational experts collect recorded data about emerging tactics, techniques, and procedures (TTPs) from sources such as live and virtual training exercises, and numerous test and evaluation simulations. However, instructional designers cannot easily reuse the recorded data to create new training. Without sufficient access to operational experts, expert knowledge is inaccessible and fragmented, of ...

    STTR Phase I 2018 Department of DefenseNavy
  2. Twiner

    SBC: SOAR TECHNOLOGY, LLC            Topic: N18AT019

    We currently lack the ability to holistically and autonomously look across all three layers of cyberspace (persona, logical and physical) and identify interesting patterns, which would give us an edge in understanding complex activities in and through cyberspace. To address this challenge, Soar Technology (SoarTech) and the GeorgiaTech Research Institute (GTRI) propose Twiner, an intelligent syste ...

    STTR Phase I 2018 Department of DefenseNavy
  3. Rapid Formation of Virtual Organizations Using Modeling and Multi Agent System Technology

    SBC: PERCEPTRONICS SOLUTIONS, INC            Topic: ST061004

    Perceptronics Solutions, Inc. and the USC Computer Science Department present this proposal to develop an adaptive software system that will automatically form 'virtual' human networks. Our objective is to develop an automated system capable of: (1) identifying groups of people who should be in contact with each other by virtue of their parent organization's basic mission, that is, the long term ...

    STTR Phase I 2006 Department of DefenseDefense Advanced Research Projects Agency
  4. Integration of Naturalistic Decision Making and Subjective Information Assessment with Quantitative Decision Analysis

    SBC: PERCEPTRONICS SOLUTIONS, INC            Topic: N06T025

    Perceptronics Solutions and the MIT Humans & Automation Laboratory propose to develop a decision support system that creates cognitive bridges among subjective information assessment, naturalistic decision-making, and a collaborative net-centric decision analysis infrastructure. The objective is to provide an improved method by which a distributed group of decision makers can evaluate, share, and ...

    STTR Phase I 2006 Department of DefenseNavy
  5. Complex Networks for Computational Urban Resilience (CONCUR)

    SBC: PERCEPTRONICS SOLUTIONS, INC            Topic: ST17C003

    CONCUR develops a computational framework for assessing and characterizing urban environments stability or fragility in response to volatility and stress, identifying specific weaknesses as well as key tipping points which could lead to rapid systemic failure. CONCUR explicitly models urban environments as emergent complex systems, focusing attention on the critical triggers that could lead to rap ...

    STTR Phase I 2018 Department of DefenseDefense Advanced Research Projects Agency
  6. Handoff Training for Combat Casualty Care (HTC3) Framework

    SBC: PERCEPTRONICS SOLUTIONS, INC            Topic: DHA17B001

    This proposal is to develop a Handoff Training for Combat Casualty Care (HTC3) Framework.Training is the crux of the handoff problem today. Patient handoffs are a crucial part of casualty care, both in military and civilian environments; and today handoffs are being performed in less than optimal fashion, with ineffective communications accounting for 80% of the handoff errors. Our new HTC3 Framew ...

    STTR Phase I 2018 Department of DefenseDefense Health Agency
  7. Software Tool for Composite Durability Prediction

    SBC: METIS DESIGN CORPORATION            Topic: A06T027

    Durability is the effect of time dependant processes, including fatigue, creep, moisture absorption, thermal-oxidation, abrasion, chemical reactions and physical ageing on mechanical properties. The ability to predict accurately the durability of composite materials and structures is critical to successfully designing for longevity. The existence of models alone is not sufficient; practical soft ...

    STTR Phase I 2006 Department of DefenseArmy
  8. Advanced Radar Data Fusion

    SBC: TECHNOLOGY SERVICE CORP            Topic: MDA06T003

    The TSC team proposes to develop a new generalized Space-Time Adaptive Processing (Generalized STAP) algorithm that discriminates among classes of scatterers. The new generalized formalism is applied to the problem of 3D ISAR imaging of the reentry vehicle (RV) or another object in the ballistic missile threat complex that suppresses radar dipole clutter, using multiple ground-based radars operat ...

    STTR Phase I 2006 Department of DefenseMissile Defense Agency
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