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Award Data

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The Award database is continually updated throughout the year. As a result, data for FY23 is not expected to be complete until September, 2024.

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.

Displaying 1 - 10 of 3238 results
  1. Precision Pointing for High Resolution Optical and RF Remote Sensing Satellites

    SBC: K2 SPACE CORPORATION            Topic: X22DOTCSO1

    K2 Space is developing the Giga Class satellite bus, an ultra-high-power spacecraft capable of delivering over 115kW of power and 15,000kg of payload mass to enable previously unattainable capabilities spanning ISR (Intelligence, Surveillance, and Reconna

    STTR Phase II 2023 Department of DefenseAir Force
  2. Applying the FLiCert Design and Certification Support Tool to OEM eVTOL Applications

    SBC: ADVANCED ROTORCRAFT TECHNOLOGY, INC.            Topic: AFX20DTCSO1

    Through a previous AFWERX STTR Phase II contract, Advanced Rotorcraft Technology, Inc. (ART) has developed a high-fidelity simulation-based FLight Certification tool (FLiCert) for design, test, and certification support for Vertical Takeoff and Landing (V

    STTR Phase II 2023 Department of DefenseAir Force
  3. Autonomous Swarming Hierarchies (ASH)

    SBC: BOSTON FUSION CORP            Topic: N23BT031

    Boston Fusion Corp. and the Cyber-Physical Systems Laboratory at Rutgers University propose Autonomous Swarming Hierarchies (ASH), a platform-agnostic multi-robot system (MRS) design software suite with three components: 1) a coordination module (CASH) that uses artificial intelligence/machine learning to automatically generate control policies for the robots comprising the system, 2) a networking ...

    STTR Phase I 2023 Department of DefenseNavy
  4. Deep Reinforcement Learning for Collaborative Multi-Robot Systems with Low-Latency Wireless Networking

    SBC: TIAMI LLC            Topic: N23BT031

    In this Phase I effort, Tiami, LLC, aims to develop and demonstrate a hardware proof of concept for a collaborative multi-robot system (MRS) that leverages imitative augmented deep reinforcement learning (IADRL) amongst heterogeneous uncrewed systems (robots) to achieve a common task. Collaboration is based on low-latency machine-to-machine wireless links between robots that use both RF and optica ...

    STTR Phase I 2023 Department of DefenseNavy
  5. Ad Hoc Swarm Modulation and Adaptation

    SBC: IOTAI INC            Topic: N23BT031

    Ad Hoc Swarm Modulation and Adaptation focuses on the ability to enable secure cyber communications, data, and distributed AI processing for any robotic swarm in any condition.  The system incorporates a range of multi-robotic system functionality to allow for coordination, cooperation, and reconfigurable methods of robotic teams, flocks, and swarms.  The system further includes methods for swar ...

    STTR Phase I 2023 Department of DefenseNavy
  6. DAA Enabling UAS Autonomy

    SBC: SCIENTIFIC APPLICATIONS & RESEARCH ASSOCIATES, INC.            Topic: AF20CTCSO1

    SARA has developed an onboard passive acoustic sensor system, the Passive Acoustic Non-cooperative Collision Avoidance System (PANCAS), that allows manned and unmanned aircraft to operate safely in the same airspace. SARA will integrate this system into a

    STTR Phase II 2023 Department of DefenseAir Force
  7. AI/ML Aided Aviation Sensors for Cognitive and Decision Optimization

    SBC: KRTKL INC.            Topic: SOCOM23B001

    krtkl (“critical”) will conduct a Phase I Feasibility Study to identify the best approach for reducing aviator cognitive load by optimizing information delivery and decision-making based on a thorough analysis of existing platforms, sensors, data sources, and onboard compute resources. This information will be used to identify Artificial Intelligence and Machine Learning based algorithms for p ...

    STTR Phase I 2023 Department of DefenseSpecial Operations Command
  8. Passive Orbital Debris Deployable Collector

    SBC: GREENSIGHT INC.            Topic: AF21STCSO1

    GreenSight has a two pronged approach for PODDC. A flight hardware solution and a digital platform. GreenSight's hardware approach for debris collection is straightforward and backed by flight heritage. Passive capture is done using aerogel materials and

    STTR Phase II 2023 Department of DefenseAir Force
  9. AI for Map Geolocation and Extraction to Find Critical Minerals

    SBC: INFERLINK CORP            Topic: AF19BT006

    Critical minerals are essential components in many modern technologies used by modern society and the global economy. Finding new sources of critical materials depends on having accurate data regarding the geology of potential sites. The United States Geological Survey (USGS) has an extensive collection of geological maps containing detailed information about various geological features, such as r ...

    STTR Phase II 2023 Department of DefenseDefense Advanced Research Projects Agency
  10. Application of Compaction, Artificial Intelligence and Video Compression Algorithms to SAR Images

    SBC: ATOMBEAM TECHNOLOGIES INC.            Topic: X22DOTCSO1

    The proposed solution integrates AtomBeam's Neural Compaction software technology into the (RDUCE) program and SOSA platform, enabling efficient connectivity and data transmission among platforms and systems. AtomBeam's unique Compaction technology utiliz

    STTR Phase II 2023 Department of DefenseAir Force
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