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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. DroN2O: A Drone-Based System for Measuring Nitrous Oxide Emissions from Agricultural Fields

    SBC: MICHIGAN AEROSPACE CORP            Topic: 1

    Michigan Aerospace Corporation proposes to develop an inexpensive system to sense nitrous oxide (N2O) emissions from agricultural fields using laser-based sensors mounted on drones. These sensors include an optical absorption cell, a wind sensor, and a camera for plant health and ground assessment. The measurements from these sensors will be combined and processed with artificial-intelligence-enab ...

    SBIR Phase I 2020 Department of EnergyARPA-E
  2. Extremely Lightweight Fuel Cell Based Power Supply System for Commercial Aircrafts

    SBC: Fuceltech Inc            Topic: 1

    Fuceltech proposes to develop a low cost lightweight Energy Storage and Power Generation (ESPG) system for commercial aircrafts in the ARPA-E REEACH program. Fuceltech will develop a single fuel cell (5kW to be developed in the program and potentially as high as 10kW from a single cell) and a novel stacking approach which can be used to deliver hundreds of kW or MWs of power from a single small an ...

    SBIR Phase I 2020 Department of EnergyARPA-E
  3. INNOVATIVE LAYERED COMPOSITE METAL DECK SYSTEM

    SBC: Acrow Corporation Of America            Topic: 20FH2

    This project investigates an innovative modular steel bridge deck system of a “sandwich” design for achieving the necessary stiffness in orthogonal directions employing two steel plates separated by a steel stiffening core.Such a layered composite deck could become an ideal solution for the next generation of bridge applications.With the appropriate choice of the core profile, the transverse s ...

    SBIR Phase I 2020 Department of Transportation
  4. Dual-Band Lens SWAP Reduction and Increased Optical Throughput with Calcium Lanthanum Sulphide (CLS)

    SBC: BHAWIN LLC            Topic: A20050

    In the Phase-I project Bhawin LLC will establish a production technique for ceramic windows and domes using a Calcium Lanthanum Sulphide nanopowders that will eliminate use of H2S that requires special safety precautions in CVD. The high cost and low mechanical strength of windows and domes that protect the multimode sensors on missiles and maximize their mode of operation have been a concern for ...

    SBIR Phase I 2020 Department of DefenseArmy
  5. High Fidelity IR Clutter Generator for Missile Warning Sensors (HSLEDS)

    SBC: Chip Design Systems Inc.            Topic: A20054

    We propose to study the feasibility of novel high fidelity background clutter generation approaches, tuned specifically toward dual-color IR clutter generator including all the IR wavelength regimes (SWIR, MWIR, and LWIR). Special attention will be paid to component availability and operational readiness of projector hardware, firmware and software components. The exit criteria for phase I is a ...

    SBIR Phase I 2020 Department of DefenseArmy
  6. A Multi-Faceted Riverine Surveillance System

    SBC: SUBUAS LLC            Topic: A20060

    The SubUAS team offers a multi-faceted riverine surveillance system that will quickly and precisely identify and geographically locate small objects in riverine environments, using a variety of sensor technologies for above and below water detection.  The system will include the following: Operational SubUAS Naviator amphibious drone platforms; commercial, off-the shelf sensors including but not ...

    SBIR Phase I 2020 Department of DefenseArmy
  7. Behavior and Action-Driven Game Environmental Rewards in Task Learning (BADGER-TL)

    SBC: SOAR TECHNOLOGY INC            Topic: A20061

    SoarTech, an industry leader in the development of AI/ML-enabled agents that generate behavior in complex environments, proposes a proof of concept investigation into Behavior and Action-Driven Game Environmental Rewards in Task Learning (BADGER-TL.) The proposed approach fuses intelligent system design principals from goal-based cognitive models and supervised machine learning. BADGER-TL leverage ...

    SBIR Phase I 2020 Department of DefenseArmy
  8. Integration of a Machine-Learning based Threat Identification with VICE

    SBC: CYBERNET SYSTEMS CORPORATION            Topic: A20076

    (VICE) to collect faces and identify them in large photo and video collections.   In the proposed work we will extend this capability to incorporate vehicles, persons, and weapons recognition into the VICE so that people, weapons, and vehicles can be correlated and identify as friend of foe (i.e. non-threat and threat).   Cybernet built for the Army Research Office (and later the Air Force and t ...

    SBIR Phase I 2020 Department of DefenseArmy
  9. Autonomous Trailer Hitch Couple/Decouple

    SBC: CYBERNET SYSTEMS CORPORATION            Topic: A20094

    We know of no commercial system deployed that also automatically couples mechanical, electrical, and other facilities lines (air and hydraulic) from the vehicle to the trailer.  Actual mechanical, electrical, and facilities coupling are typically done by hand after proper coupling alignment and positioning has been achieved. In Phase I our approach to the problem will be to demonstrate two key de ...

    SBIR Phase I 2020 Department of DefenseArmy
  10. Camera-Based Automated Biometric Checkpoints for Army Forward Operating Bases (FOBs)

    SBC: EM PHOTONICS INC            Topic: A20073

    The U.S. Army maintains numerous forward operating bases (FOBs) that each require strict security. These FOBs are monitored by a collection of cameras constantly producing live video feeds of the surrounding area. If automated algorithms could detect and track people in each camera’s field of view (FOV), security could be improved by identifying threatening individuals, preventing infiltration b ...

    SBIR Phase I 2020 Department of DefenseArmy
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