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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.

Displaying 1 - 10 of 4959 results
  1. Secure and Efficient Architecture and Protocol via Ledger based Algorithms on decentralized NEtworks (SEAPLANE)

    SBC: STOTTLER HENKE ASSOCIATES, INC            Topic: N232094

    Stottler Henke proposes Secure and Efficient Architecture and Protocol via Ledger based Algorithms on decentralized NEtworks (SEAPLANE). SEAPLANE is a certificate-based authentication system which makes use of a hierarchical certificate authentication model. A node will represent a platform and each node will have a CRYSTALS-Dilithium public-private key pair that will be used when signing and vali ...

    SBIR Phase I 2023 Department of DefenseNavy
  2. 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
  3. 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
  4. Radio Frequency and Infrared Dual-Mode Seeker (RAIDS)

    SBC: EXOANALYTIC SOLUTIONS INC            Topic: N232088

    Different classes of Naval weapon systems have historically employed either radiofrequency (RF) or infrared (IR) seekers for target acquisition and tracking, with IR seekers typically being employed on shorter-range weapon systems and RF seekers on longer range weapons. As technical and tactical countermeasures are developed and employed, missile seeker systems must be responsive to remain effecti ...

    SBIR Phase I 2023 Department of DefenseNavy
  5. AI-Based Learning Environment (ABLE) for Undersea Warfare (USW) Training

    SBC: PACIFIC SCIENCE & ENGINEERING GROUP, INC.            Topic: N23AT014

    To compete on the world stage of undersea warfare (USW), the US Navy’s USW systems are frequently updated with advanced capabilities. As a result, modernization trainers need to perform the challenging tasks of updating training material to reflect the new (and obsolete) capabilities. This process requires comparing legacy to updated documentation, identifying changes to system capabilities, and ...

    STTR Phase I 2023 Department of DefenseNavy
  6. AI-enabled Real-time Aerial Target Detection and Data Transport

    SBC: CROWDAI, INC.            Topic: N231049

    CrowdAI specializes in AI/ML for automated target recognition (ATR) on full motion video (FMV). With years of DOD past performance in this mission space (DON, JAIC, MAVEN, USAF), CrowdAI will develop an end-to-end computer vision (CV) system for DON aerial platforms. It will ingest and process video, identify targets, and serve video snippets to onboard sensor operators with automated alerts to ...

    SBIR Phase I 2023 Department of DefenseNavy
  7. High-Speed Data Return for Tactical Environments

    SBC: TOYON RESEARCH CORPORATION            Topic: N231009

    The modern battlespace includes incredible complexities and near-peer adversaries that make missions more dangerous than ever to our pilots and co-pilots.  Such warfighters rely heavily upon advanced sensor systems to deliver them real-time situational awareness (SA) that allows them to effectively achieve their mission objectives.  While the U.S. Navy has continued to increase the number of sen ...

    SBIR Phase I 2023 Department of DefenseNavy
  8. UUV Sensor Transformation

    SBC: Arete Associates            Topic: N23AT013

    Areté and its teaming partner the University of Arizona (UofA) will develop a software tool that transforms sensor and metadata from a given sensor system into realistic synthetic data as if it were collected by a different sensor system. The exponential rise in available data from a multitude of sensor systems has driven commercial and academic entities to achieve significant innovations in arti ...

    STTR Phase I 2023 Department of DefenseNavy
  9. Dynamic Spectrum Management

    SBC: TOYON RESEARCH CORPORATION            Topic: N231004

    Consumer and industry demand for wireless capacity is ever increasing. This has resulted in the US Congress exerting pressure on the Department of Defense to vacate or share operations in portions of S-Band. While the telecommunications industry has increased efforts to sense the presence of federal radar signals and alter permitted commercial operations to avoid interference, the Emerging Mid-Ban ...

    SBIR Phase I 2023 Department of DefenseNavy
  10. Big Data Analytics (BDA)

    SBC: PROGRAMS MANAGEMENT ANALYTICS & TECHNOLOGIES INC            Topic: N231019

    Programs Management Analytics &Technologies (PMAT) in partnership with Ultra Electronics Advanced Tactical Systems (Ultra-ATS) propose the Multi-INT Correlation and Fusion Engine (MICAFE) to provide the Minotaur Family of Services (MFoS) with advanced data mining and fusion capabilities using modern artificial intelligence and machine learning (AI/ML) capabilities. To improve and augment the ...

    SBIR Phase I 2023 Department of DefenseNavy
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