accelerator dates:MARCH 1 - MAY 27


How might we provide a secure and scalable hybrid data environment to pull, move and combine diverse sets of data from commercial, public, Allied and Government sources to allow users to find, fix, target, track, engage, and assess on faster timelines?


The US Space Force, Combatant Command operators, strategic decision makers, and tactical users need capabilities that can support hybrid data architectures to pull, store, move, analyze, correlate, display and push any kind of data to any user at any given time from any source in space or on earth. Although there exist numerous databases (e.g., the Unified Data Library) to store data and capabilities to push the data from these databases to command and control centers and tactical users (e.g. WarpCore), additional capabilities are needed. Critical to our nation’s space superiority is the tactical/operational operator’s ability to receive and send all-domain data in a consolidated, timely, secure manner in order for national decision makers to be able to confidently observe, orient, decide, and act on the data in real or near-real time.  The disparate manner in which data is currently being delivered is not keeping pace with tactical timelines of the threat.  Combatant Commands need a hybrid data environment to pull, move and combine commercial and public data with private US and Ally government data.

The USSF is seeking companies with innovative technologies that will accelerate development of this hybrid data architecture and ensure the movement of the data happens for USSF in real time, near-real time. Advances in technologies pertaining to how and where data is moved, processed, stored, and secured in a multi-level secure environment are some specific items that are relevant to the USSF future architecture.  The Catalyst Accelerator team invites early-stage companies with innovative technologies pertaining to this call to apply to the Spring 2022 Catalyst Accelerator.

Topics of Interest

  • Ingest of data in any format
  • Edge processing and distributed processing to enable rapid, near real-time analysis and response
  • Trusted access to common data storage
  • Integration of commercial and government data sources
  • Management of data resources across the architecture
  • High Performance Computing capabilities
  • Optimized or new modulation techniques
  • Virtualized hardware to achieve lower cost and better performance computing
  • Commercial cryptographic systems for cyber resiliency
  • Blockchain technologies & applications
  • Artificial Intelligence and Machine Learning

Key Activities

November 29, 2021

Applications Open

December 14, 2021

Ask Me Anything Session

  • Watch Recording HERE

January 5, 2022

Applications Close

January 18-20, 2022

Applicant Pitch Days

March 1, 2022


May 26, 2022

Demo Day

May 27, 2022

Final Day


Awayr A.I. (Cambridge, Massachusetts) combines expertise in machine learning, human factors and cyber security, to solve difficult problems at the frontier of human machine interaction, cyber security and human machine interface design and optimization. For human machine interface design and performance, they provide quantitative analysis of operator efficiency and quality of operator – HMI interaction. For HMI design and optimization, they develop predictive AI that can run simulations for operator – interface interaction, to understand the efficacy of designs and updates prior to fielding. In their cyber division, they are working with NIST to implement a new standard in security awareness testing and training, with implications for the implementation of CMMC.

Embeddetech, Inc. (Tulsa, Oklahoma) Virtuoso and Montage provide no-code and digital economy infrastructure, respectively, creating a momentous leap forward in composable software development workflows. These platforms provide superior benefits to a wide range of diverse markets and technology categories, including modeling & simulation, digital twin, digital transformation, DevSecOps, RPA, IoT and Enterprise Integration, and much more. Virtuoso and Montage create a completely new paradigm for how software solutions with complex requirements can be effortlessly composed.

GridRaster Inc. (Mountain View, California) is building the most advanced open, modular, scalable, vendor agnostic cloud based XR infrastructure for ultra-realistic simulations and training on commercially available devices. It combines the best of gaming technologies/concepts with traditional simulator capabilities in XR by leveraging distributed cloud computing, 3D Artificial intelligence and DevSecOps based agile deployment and operation to deliver a ubiquitous, on-demand and immersive training system for agile joint multi-mission aviation operations.

Improbable LLC (Arlington, Virginia) brings clarity to complexity for customers harnessing the growing power of synthetic environments. Their world-class team of experts and software platform is expanding the performance envelope for commercial games made in the US, UK and Canada, and synthetic environments for the US and UK government. Built from the ground up with open standards and supported by an ecosystem of partners from across industry and academia, it’s a more efficient, flexible, and cost-effective way to build and operate the synthetic solutions of the future.

ISSAC Corp (Colorado Springs, Colorado) is focused on finding the hidden stories in complex datasets and creating automation to allow analyst to optimize the use of streaming and historic data. ISSAC provides advanced system of systems engineering solutions and are developing a life cycle Digital Engineering tool to enable data sharing and engineering design refinement for the entirety of a platforms life cycle. In addition, their modular approach to Artificial Intelligence solutions enables rapid workflow tailoring, customer flexibility as needs evolves, and a smart process for advancing the art of knowledge discovery as technology advances.

Kayhan Space Corp (Boulder, Colorado) is a software analytics platform focused on satellite conjunction assessment, collision avoidance, and space object tracking and navigation. Kayhan brings together an incredible team of astrodynamics and software engineers with many years of experience supporting NASA and JPL missions, as well as building enterprise software. They also bring automation to an otherwise manual and time-consuming process. By doing so, they save time and money for satellite operators, and most importantly ensure mission safety.

Synaptech (Colorado Springs, Colorado) has quickly become a leading small business provider of modeling, simulation, and analysis (MS&A) expertise and a developer of innovative software and analytical solutions for the Space Defense Industry. Synaptech operates with speed and agility to quickly integrate people, processes, and technologies to solve their customer’s most challenging problems on an operationally relevant timeline. Synaptech’s multi-disciplinary team of engineers, scientists, analysts, mathematicians, and designers are committed to protecting the freedom that our nation enjoys and creating a better tomorrow for future generations. 

Vermeer (Jackson Heights, New York) specializes in a leading-edge suite of AR mission planning tools and autonomous sUAS mission execution for both DoD and commercial customers. From their expertise from years of piloting drones on the sets of blockbuster Hollywood films, they built Vermeer as an internal tool for pre-mission planning and visualization. Today, Vermeer is capable of integrating into any autonomous platform, from sUAS to satellites.

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